<persisted-output>
Output too large (236.5KB). Full output saved to: /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bz7hybjnv.txt

Preview (first 2KB):
{"parentUuid":null,"isSidechain":true,"promptId":"f87ccd97-93c6-473a-a342-25f23733a68a","agentId":"ae21f5fecf9011ed0","type":"user","message":{"role":"user","content":"Do a DEEP text comparison of 3 Laserliner product pages — not just spec numbers but ALL content: product descriptions, feature claims, use cases, selling points, technical explanations, FAQ answers, \"what's included\" lists, everything.\n\n**Product 4: PocketPlane-Laser 4G**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563740284-pocketplane-laser-4g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/pocketplane-laser-4g/?v=8\n\n**Product 5: PowerCross-Laser 8G**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563718122-powercross-laser-8g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/powercross-laser-8g/?v=8\n\n**Product 6: PrecisionPlane-Laser 4G Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563714391-precisionplane-laser-4g-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/precisionplane-laser-4g-pro/?v=8\n\nFor EACH product, use WebFetch with two separate prompts:\n\nFirst fetch (original): \"Extrahera ALLT innehåll: produktnamn, varje mening i produktbeskrivningen, alla features, alla tekniska påståenden, användningsområden, vad som ingår, alla specifikationer. Missa INGENTING.\"\n\nSecond fetch (Blinken): \"Extrahera ALLT innehåll: rubrik, inledning, alla funktionsbeskrivningar, alla påståenden, FAQ (varje fråga + svar ordagrant), 'vad ingår', specifikationer, jämförelser. Missa INGENTING.\"\n\nThen compare EVERYTHING:\n1. Fabricated content on Blinken that doesn't exist on original?\n2. Features described differently or incorrectly?\n3. FAQ answers factually correct?\n4. \"What's included\" accurate?\n5. Any differing numbers or technical claims?\n\nReport ALL discrepancies. Write in Swedish."},"uuid":"b7d16fef-9484-4b82-8c62-d6e98f6a4a20","timestamp":"2026-05-10T08:36:21.315Z","userType":"externa
...
</persisted-output>

{"parentUuid":null,"isSidechain":true,"promptId":"f87ccd97-93c6-473a-a342-25f23733a68a","agentId":"ae21f5fecf9011ed0","type":"user","message":{"role":"user","content":"Do a DEEP text comparison of 3 Laserliner product pages — not just spec numbers but ALL content: product descriptions, feature claims, use cases, selling points, technical explanations, FAQ answers, \"what's included\" lists, everything.\n\n**Product 4: PocketPlane-Laser 4G**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563740284-pocketplane-laser-4g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/pocketplane-laser-4g/?v=8\n\n**Product 5: PowerCross-Laser 8G**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563718122-powercross-laser-8g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/powercross-laser-8g/?v=8\n\n**Product 6: PrecisionPlane-Laser 4G Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563714391-precisionplane-laser-4g-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/precisionplane-laser-4g-pro/?v=8\n\nFor EACH product, use WebFetch with two separate prompts:\n\nFirst fetch (original): \"Extrahera ALLT innehåll: produktnamn, varje mening i produktbeskrivningen, alla features, alla tekniska påståenden, användningsområden, vad som ingår, alla specifikationer. Missa INGENTING.\"\n\nSecond fetch (Blinken): \"Extrahera ALLT innehåll: rubrik, inledning, alla funktionsbeskrivningar, alla påståenden, FAQ (varje fråga + svar ordagrant), 'vad ingår', specifikationer, jämförelser. Missa INGENTING.\"\n\nThen compare EVERYTHING:\n1. Fabricated content on Blinken that doesn't exist on original?\n2. Features described differently or incorrectly?\n3. FAQ answers factually correct?\n4. \"What's included\" accurate?\n5. Any differing numbers or technical claims?\n\nReport ALL discrepancies. Write in Swedish."},"uuid":"b7d16fef-9484-4b82-8c62-d6e98f6a4a20","timestamp":"2026-05-10T08:36:21.315Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b7d16fef-9484-4b82-8c62-d6e98f6a4a20","isSidechain":true,"agentId":"ae21f5fecf9011ed0","attachment":{"type":"deferred_tools_delta","addedNames":["EnterWorktree","ExitWorktree","Monitor","NotebookEdit","TaskStop","WebFetch","WebSearch","mcp__Claude_Preview__preview_click","mcp__Claude_Preview__preview_console_logs","mcp__Claude_Preview__preview_eval","mcp__Claude_Preview__preview_fill","mcp__Claude_Preview__preview_inspect","mcp__Claude_Preview__preview_list","mcp__Claude_Preview__preview_logs","mcp__Claude_Preview__preview_network","mcp__Claude_Preview__preview_resize","mcp__Claude_Preview__preview_screenshot","mcp__Claude_Preview__preview_snapshot","mcp__Claude_Preview__preview_start","mcp__Claude_Preview__preview_stop","mcp__avanza__delete_order","mcp__avanza__edit_order","mcp__avanza__get_account","mcp__avanza__get_deals_and_orders","mcp__avanza__get_fund","mcp__avanza__get_orderbook","mcp__avanza__get_overview","mcp__avanza__get_positions","mcp__avanza__get_stock","mcp__avanza__get_transactions","mcp__avanza__place_order","mcp__avanza__search_instrument","mcp__ccd_directory__request_directory","mcp__ccd_session_mgmt__archive_session","mcp__ccd_session_mgmt__list_sessions","mcp__ccd_session_mgmt__search_session_transcripts","mcp__chatgpt__ask_chatgpt","mcp__chrome-devtools__click","mcp__chrome-devtools__close_page","mcp__chrome-devtools__drag","mcp__chrome-devtools__emulate","mcp__chrome-devtools__evaluate_script","mcp__chrome-devtools__fill","mcp__chrome-devtools__fill_form","mcp__chrome-devtools__get_console_message","mcp__chrome-devtools__get_network_request","mcp__chrome-devtools__handle_dialog","mcp__chrome-devtools__hover","mcp__chrome-devtools__lighthouse_audit","mcp__chrome-devtools__list_console_messages","mcp__chrome-devtools__list_network_requests","mcp__chrome-devtools__list_pages","mcp__chrome-devtools__navigate_page","mcp__chrome-devtools__new_page","mcp__chrome-devtools__performance_analyze_insight","mcp__chrome-devtools__performance_start_trace","mcp__chrome-devtools__performance_stop_trace","mcp__chrome-devtools__press_key","mcp__chrome-devtools__resize_page","mcp__chrome-devtools__select_page","mcp__chrome-devtools__take_memory_snapshot","mcp__chrome-devtools__take_screenshot","mcp__chrome-devtools__take_snapshot","mcp__chrome-devtools__type_text","mcp__chrome-devtools__upload_file","mcp__chrome-devtools__wait_for","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_draft","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_label","mcp__f5d7b600-9135-4877-8038-8b70804a0066__get_thread","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_drafts","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_labels","mcp__f5d7b600-9135-4877-8038-8b70804a0066__search_threads","mcp__gsc-mcp__get_sitemap","mcp__gsc-mcp__list_sitemaps","mcp__gsc-mcp__list_sites","mcp__gsc-mcp__search_analytics","mcp__gsc-mcp__submit_sitemap","mcp__mcp-registry__list_connectors","mcp__mcp-registry__search_mcp_registry","mcp__mcp-registry__suggest_connectors","mcp__scheduled-tasks__create_scheduled_task","mcp__scheduled-tasks__list_scheduled_tasks","mcp__scheduled-tasks__update_scheduled_task","mcp__tradingview-desktop__alert_create","mcp__tradingview-desktop__alert_delete","mcp__tradingview-desktop__alert_list","mcp__tradingview-desktop__batch_run","mcp__tradingview-desktop__capture_screenshot","mcp__tradingview-desktop__chart_get_state","mcp__tradingview-desktop__chart_get_visible_range","mcp__tradingview-desktop__chart_manage_indicator","mcp__tradingview-desktop__chart_scroll_to_date","mcp__tradingview-desktop__chart_set_symbol","mcp__tradingview-desktop__chart_set_timeframe","mcp__tradingview-desktop__chart_set_type","mcp__tradingview-desktop__chart_set_visible_range","mcp__tradingview-desktop__data_get_equity","mcp__tradingview-desktop__data_get_indicator","mcp__tradingview-desktop__data_get_ohlcv","mcp__tradingview-desktop__data_get_pine_boxes","mcp__tradingview-desktop__data_get_pine_labels","mcp__tradingview-desktop__data_get_pine_lines","mcp__tradingview-desktop__data_get_pine_tables","mcp__tradingview-desktop__data_get_strategy_results","mcp__tradingview-desktop__data_get_study_values","mcp__tradingview-desktop__data_get_trades","mcp__tradingview-desktop__depth_get","mcp__tradingview-desktop__draw_clear","mcp__tradingview-desktop__draw_get_properties","mcp__tradingview-desktop__draw_list","mcp__tradingview-desktop__draw_remove_one","mcp__tradingview-desktop__draw_shape","mcp__tradingview-desktop__indicator_set_inputs","mcp__tradingview-desktop__indicator_toggle_visibility","mcp__tradingview-desktop__layout_list","mcp__tradingview-desktop__layout_switch","mcp__tradingview-desktop__pane_focus","mcp__tradingview-desktop__pane_list","mcp__tradingview-desktop__pane_set_layout","mcp__tradingview-desktop__pane_set_symbol","mcp__tradingview-desktop__pine_analyze","mcp__tradingview-desktop__pine_check","mcp__tradingview-desktop__pine_compile","mcp__tradingview-desktop__pine_get_console","mcp__tradingview-desktop__pine_get_errors","mcp__tradingview-desktop__pine_get_source","mcp__tradingview-desktop__pine_list_scripts","mcp__tradingview-desktop__pine_new","mcp__tradingview-desktop__pine_open","mcp__tradingview-desktop__pine_save","mcp__tradingview-desktop__pine_set_source","mcp__tradingview-desktop__pine_smart_compile","mcp__tradingview-desktop__quote_get","mcp__tradingview-desktop__replay_autoplay","mcp__tradingview-desktop__replay_start","mcp__tradingview-desktop__replay_status","mcp__tradingview-desktop__replay_step","mcp__tradingview-desktop__replay_stop","mcp__tradingview-desktop__replay_trade","mcp__tradingview-desktop__symbol_info","mcp__tradingview-desktop__symbol_search","mcp__tradingview-desktop__tab_close","mcp__tradingview-desktop__tab_list","mcp__tradingview-desktop__tab_new","mcp__tradingview-desktop__tab_switch","mcp__tradingview-desktop__tv_discover","mcp__tradingview-desktop__tv_health_check","mcp__tradingview-desktop__tv_launch","mcp__tradingview-desktop__tv_ui_state","mcp__tradingview-desktop__ui_click","mcp__tradingview-desktop__ui_evaluate","mcp__tradingview-desktop__ui_find_element","mcp__tradingview-desktop__ui_fullscreen","mcp__tradingview-desktop__ui_hover","mcp__tradingview-desktop__ui_keyboard","mcp__tradingview-desktop__ui_mouse_click","mcp__tradingview-desktop__ui_open_panel","mcp__tradingview-desktop__ui_scroll","mcp__tradingview-desktop__ui_type_text","mcp__tradingview-desktop__watchlist_add","mcp__tradingview-desktop__watchlist_get","mcp__tradingview-ta__advanced_candle_pattern","mcp__tradingview-ta__backtest_strategy","mcp__tradingview-ta__bollinger_scan","mcp__tradingview-ta__coin_analysis","mcp__tradingview-ta__combined_analysis","mcp__tradingview-ta__compare_strategies","mcp__tradingview-ta__consecutive_candles_scan","mcp__tradingview-ta__egx_fibonacci_retracement","mcp__tradingview-ta__egx_index_analysis","mcp__tradingview-ta__egx_market_overview","mcp__tradingview-ta__egx_sector_scan","mcp__tradingview-ta__egx_sector_scanner","mcp__tradingview-ta__egx_stock_screener","mcp__tradingview-ta__egx_trade_plan","mcp__tradingview-ta__financial_news","mcp__tradingview-ta__market_sentiment","mcp__tradingview-ta__market_snapshot","mcp__tradingview-ta__multi_agent_analysis","mcp__tradingview-ta__multi_timeframe_analysis","mcp__tradingview-ta__rating_filter","mcp__tradingview-ta__smart_volume_scanner","mcp__tradingview-ta__top_gainers","mcp__tradingview-ta__top_losers","mcp__tradingview-ta__volume_breakout_scanner","mcp__tradingview-ta__volume_confirmation_analysis","mcp__tradingview-ta__walk_forward_backtest_strategy","mcp__tradingview-ta__yahoo_price"],"addedLines":["EnterWorktree","ExitWorktree","Monitor","NotebookEdit","TaskStop","WebFetch","WebSearch","mcp__Claude_Preview__preview_click","mcp__Claude_Preview__preview_console_logs","mcp__Claude_Preview__preview_eval","mcp__Claude_Preview__preview_fill","mcp__Claude_Preview__preview_inspect","mcp__Claude_Preview__preview_list","mcp__Claude_Preview__preview_logs","mcp__Claude_Preview__preview_network","mcp__Claude_Preview__preview_resize","mcp__Claude_Preview__preview_screenshot","mcp__Claude_Preview__preview_snapshot","mcp__Claude_Preview__preview_start","mcp__Claude_Preview__preview_stop","mcp__avanza__delete_order","mcp__avanza__edit_order","mcp__avanza__get_account","mcp__avanza__get_deals_and_orders","mcp__avanza__get_fund","mcp__avanza__get_orderbook","mcp__avanza__get_overview","mcp__avanza__get_positions","mcp__avanza__get_stock","mcp__avanza__get_transactions","mcp__avanza__place_order","mcp__avanza__search_instrument","mcp__ccd_directory__request_directory","mcp__ccd_session_mgmt__archive_session","mcp__ccd_session_mgmt__list_sessions","mcp__ccd_session_mgmt__search_session_transcripts","mcp__chatgpt__ask_chatgpt","mcp__chrome-devtools__click","mcp__chrome-devtools__close_page","mcp__chrome-devtools__drag","mcp__chrome-devtools__emulate","mcp__chrome-devtools__evaluate_script","mcp__chrome-devtools__fill","mcp__chrome-devtools__fill_form","mcp__chrome-devtools__get_console_message","mcp__chrome-devtools__get_network_request","mcp__chrome-devtools__handle_dialog","mcp__chrome-devtools__hover","mcp__chrome-devtools__lighthouse_audit","mcp__chrome-devtools__list_console_messages","mcp__chrome-devtools__list_network_requests","mcp__chrome-devtools__list_pages","mcp__chrome-devtools__navigate_page","mcp__chrome-devtools__new_page","mcp__chrome-devtools__performance_analyze_insight","mcp__chrome-devtools__performance_start_trace","mcp__chrome-devtools__performance_stop_trace","mcp__chrome-devtools__press_key","mcp__chrome-devtools__resize_page","mcp__chrome-devtools__select_page","mcp__chrome-devtools__take_memory_snapshot","mcp__chrome-devtools__take_screenshot","mcp__chrome-devtools__take_snapshot","mcp__chrome-devtools__type_text","mcp__chrome-devtools__upload_file","mcp__chrome-devtools__wait_for","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_draft","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_label","mcp__f5d7b600-9135-4877-8038-8b70804a0066__get_thread","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_drafts","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_labels","mcp__f5d7b600-9135-4877-8038-8b70804a0066__search_threads","mcp__gsc-mcp__get_sitemap","mcp__gsc-mcp__list_sitemaps","mcp__gsc-mcp__list_sites","mcp__gsc-mcp__search_analytics","mcp__gsc-mcp__submit_sitemap","mcp__mcp-registry__list_connectors","mcp__mcp-registry__search_mcp_registry","mcp__mcp-registry__suggest_connectors","mcp__scheduled-tasks__create_scheduled_task","mcp__scheduled-tasks__list_scheduled_tasks","mcp__scheduled-tasks__update_scheduled_task","mcp__tradingview-desktop__alert_create","mcp__tradingview-desktop__alert_delete","mcp__tradingview-desktop__alert_list","mcp__tradingview-desktop__batch_run","mcp__tradingview-desktop__capture_screenshot","mcp__tradingview-desktop__chart_get_state","mcp__tradingview-desktop__chart_get_visible_range","mcp__tradingview-desktop__chart_manage_indicator","mcp__tradingview-desktop__chart_scroll_to_date","mcp__tradingview-desktop__chart_set_symbol","mcp__tradingview-desktop__chart_set_timeframe","mcp__tradingview-desktop__chart_set_type","mcp__tradingview-desktop__chart_set_visible_range","mcp__tradingview-desktop__data_get_equity","mcp__tradingview-desktop__data_get_indicator","mcp__tradingview-desktop__data_get_ohlcv","mcp__tradingview-desktop__data_get_pine_boxes","mcp__tradingview-desktop__data_get_pine_labels","mcp__tradingview-desktop__data_get_pine_lines","mcp__tradingview-desktop__data_get_pine_tables","mcp__tradingview-desktop__data_get_strategy_results","mcp__tradingview-desktop__data_get_study_values","mcp__tradingview-desktop__data_get_trades","mcp__tradingview-desktop__depth_get","mcp__tradingview-desktop__draw_clear","mcp__tradingview-desktop__draw_get_properties","mcp__tradingview-desktop__draw_list","mcp__tradingview-desktop__draw_remove_one","mcp__tradingview-desktop__draw_shape","mcp__tradingview-desktop__indicator_set_inputs","mcp__tradingview-desktop__indicator_toggle_visibility","mcp__tradingview-desktop__layout_list","mcp__tradingview-desktop__layout_switch","mcp__tradingview-desktop__pane_focus","mcp__tradingview-desktop__pane_list","mcp__tradingview-desktop__pane_set_layout","mcp__tradingview-desktop__pane_set_symbol","mcp__tradingview-desktop__pine_analyze","mcp__tradingview-desktop__pine_check","mcp__tradingview-desktop__pine_compile","mcp__tradingview-desktop__pine_get_console","mcp__tradingview-desktop__pine_get_errors","mcp__tradingview-desktop__pine_get_source","mcp__tradingview-desktop__pine_list_scripts","mcp__tradingview-desktop__pine_new","mcp__tradingview-desktop__pine_open","mcp__tradingview-desktop__pine_save","mcp__tradingview-desktop__pine_set_source","mcp__tradingview-desktop__pine_smart_compile","mcp__tradingview-desktop__quote_get","mcp__tradingview-desktop__replay_autoplay","mcp__tradingview-desktop__replay_start","mcp__tradingview-desktop__replay_status","mcp__tradingview-desktop__replay_step","mcp__tradingview-desktop__replay_stop","mcp__tradingview-desktop__replay_trade","mcp__tradingview-desktop__symbol_info","mcp__tradingview-desktop__symbol_search","mcp__tradingview-desktop__tab_close","mcp__tradingview-desktop__tab_list","mcp__tradingview-desktop__tab_new","mcp__tradingview-desktop__tab_switch","mcp__tradingview-desktop__tv_discover","mcp__tradingview-desktop__tv_health_check","mcp__tradingview-desktop__tv_launch","mcp__tradingview-desktop__tv_ui_state","mcp__tradingview-desktop__ui_click","mcp__tradingview-desktop__ui_evaluate","mcp__tradingview-desktop__ui_find_element","mcp__tradingview-desktop__ui_fullscreen","mcp__tradingview-desktop__ui_hover","mcp__tradingview-desktop__ui_keyboard","mcp__tradingview-desktop__ui_mouse_click","mcp__tradingview-desktop__ui_open_panel","mcp__tradingview-desktop__ui_scroll","mcp__tradingview-desktop__ui_type_text","mcp__tradingview-desktop__watchlist_add","mcp__tradingview-desktop__watchlist_get","mcp__tradingview-ta__advanced_candle_pattern","mcp__tradingview-ta__backtest_strategy","mcp__tradingview-ta__bollinger_scan","mcp__tradingview-ta__coin_analysis","mcp__tradingview-ta__combined_analysis","mcp__tradingview-ta__compare_strategies","mcp__tradingview-ta__consecutive_candles_scan","mcp__tradingview-ta__egx_fibonacci_retracement","mcp__tradingview-ta__egx_index_analysis","mcp__tradingview-ta__egx_market_overview","mcp__tradingview-ta__egx_sector_scan","mcp__tradingview-ta__egx_sector_scanner","mcp__tradingview-ta__egx_stock_screener","mcp__tradingview-ta__egx_trade_plan","mcp__tradingview-ta__financial_news","mcp__tradingview-ta__market_sentiment","mcp__tradingview-ta__market_snapshot","mcp__tradingview-ta__multi_agent_analysis","mcp__tradingview-ta__multi_timeframe_analysis","mcp__tradingview-ta__rating_filter","mcp__tradingview-ta__smart_volume_scanner","mcp__tradingview-ta__top_gainers","mcp__tradingview-ta__top_losers","mcp__tradingview-ta__volume_breakout_scanner","mcp__tradingview-ta__volume_confirmation_analysis","mcp__tradingview-ta__walk_forward_backtest_strategy","mcp__tradingview-ta__yahoo_price"],"removedNames":[],"readdedNames":[]},"type":"attachment","uuid":"fe66210c-d4ed-417a-903c-ff670a6bfc26","timestamp":"2026-05-10T08:36:21.317Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fe66210c-d4ed-417a-903c-ff670a6bfc26","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01RtvFBuCEGZMD9F9AgDXZbR","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll start by loading the WebFetch tool, then fetch all 6 pages."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":13919,"cache_read_input_tokens":14159,"cache_creation":{"ephemeral_5m_input_tokens":13919,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Catan3yeZGZLDuGp9nSah","attributionAgent":"general-purpose","type":"assistant","uuid":"8f5342a5-7baf-47a8-b79d-d7e7f1a34c1e","timestamp":"2026-05-10T08:36:24.123Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"8f5342a5-7baf-47a8-b79d-d7e7f1a34c1e","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01RtvFBuCEGZMD9F9AgDXZbR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SZvDmQjfGmQKs7YXZ1H4cb","name":"ToolSearch","input":{"query":"select:WebFetch","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":13919,"cache_read_input_tokens":14159,"output_tokens":97,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":13919},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":97,"cache_read_input_tokens":14159,"cache_creation_input_tokens":13919,"cache_creation":{"ephemeral_5m_input_tokens":13919,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"requestId":"req_011Catan3yeZGZLDuGp9nSah","attributionAgent":"general-purpose","type":"assistant","uuid":"8e929365-18d7-433e-97e9-1e2c9a34f23e","timestamp":"2026-05-10T08:36:24.542Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"8e929365-18d7-433e-97e9-1e2c9a34f23e","isSidechain":true,"promptId":"f87ccd97-93c6-473a-a342-25f23733a68a","agentId":"ae21f5fecf9011ed0","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01SZvDmQjfGmQKs7YXZ1H4cb","content":[{"type":"tool_reference","tool_name":"WebFetch"}]}]},"uuid":"e1e73d3b-b044-4a3b-acf7-a536bd650b0c","timestamp":"2026-05-10T08:36:24.545Z","sourceToolAssistantUUID":"8e929365-18d7-433e-97e9-1e2c9a34f23e","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"e1e73d3b-b044-4a3b-acf7-a536bd650b0c","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01LiLEjXHvADVJdTGJPecaye","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll fetch all 6 pages now. Starting with all original Laserliner pages and Blinken pages in parallel."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3318,"cache_read_input_tokens":28078,"cache_creation":{"ephemeral_5m_input_tokens":3318,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CatanHrphQNeQu2kDe2Zr","attributionAgent":"general-purpose","type":"assistant","uuid":"934ef7e7-14e5-46fe-a66c-ae5852de0ce5","timestamp":"2026-05-10T08:36:27.830Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"934ef7e7-14e5-46fe-a66c-ae5852de0ce5","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01LiLEjXHvADVJdTGJPecaye","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TYn87UB4eRACvXPYwgCx6h","name":"WebFetch","input":{"url":"https://www.laserliner.com/en/products_en/4021563740284-pocketplane-laser-4g.html","prompt":"Extrahera ALLT innehåll: produktnamn, varje mening i produktbeskrivningen, alla features, alla tekniska påståenden, användningsområden, vad som ingår, alla specifikationer med exakta värden. Missa INGENTING. Inkludera alla bullet points, alla sektioner, alla numeriska värden."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3318,"cache_read_input_tokens":28078,"cache_creation":{"ephemeral_5m_input_tokens":3318,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CatanHrphQNeQu2kDe2Zr","attributionAgent":"general-purpose","type":"assistant","uuid":"cde50a11-5eac-401d-89ff-1705b0723261","timestamp":"2026-05-10T08:36:32.306Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"cde50a11-5eac-401d-89ff-1705b0723261","isSidechain":true,"promptId":"f87ccd97-93c6-473a-a342-25f23733a68a","agentId":"ae21f5fecf9011ed0","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","is_error":true,"tool_use_id":"toolu_01TYn87UB4eRACvXPYwgCx6h"}]},"uuid":"9d3eac41-313c-4bbd-8c09-6c83f51b8930","timestamp":"2026-05-10T08:36:32.307Z","toolUseResult":"Error: Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","sourceToolAssistantUUID":"cde50a11-5eac-401d-89ff-1705b0723261","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"9d3eac41-313c-4bbd-8c09-6c83f51b8930","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01LiLEjXHvADVJdTGJPecaye","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M6pmHRXUX4GgN5EeVmHp5d","name":"WebFetch","input":{"url":"https://pgari.tech/r/de8bb9f1ab4f2209/pocketplane-laser-4g/?v=8","prompt":"Extrahera ALLT innehåll: rubrik, inledning, alla funktionsbeskrivningar, alla påståenden, FAQ (varje fråga + svar ordagrant), 'vad ingår', specifikationer, jämförelser, alla bullet points. Missa INGENTING. Varje mening i varje sektion."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3318,"cache_read_input_tokens":28078,"cache_creation":{"ephemeral_5m_input_tokens":3318,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CatanHrphQNeQu2kDe2Zr","attributionAgent":"general-purpose","type":"assistant","uuid":"a74591f8-4725-4dbf-9942-f01015ff1051","timestamp":"2026-05-10T08:36:35.547Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a74591f8-4725-4dbf-9942-f01015ff1051","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01LiLEjXHvADVJdTGJPecaye","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014W68BMje8eBKrRvHgTizoE","name":"WebFetch","input":{"url":"https://www.laserliner.com/en/products_en/4021563718122-powercross-laser-8g.html","prompt":"Extrahera ALLT innehåll: produktnamn, varje mening i produktbeskrivningen, alla features, alla tekniska påståenden, användningsområden, vad som ingår, alla specifikationer med exakta värden. Missa INGENTING. Inkludera alla bullet points, alla sektioner, alla numeriska värden."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3318,"cache_read_input_tokens":28078,"cache_creation":{"ephemeral_5m_input_tokens":3318,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CatanHrphQNeQu2kDe2Zr","attributionAgent":"general-purpose","type":"assistant","uuid":"9642d7c1-aaa2-4f71-a07c-5e5da010948c","timestamp":"2026-05-10T08:36:37.052Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"9642d7c1-aaa2-4f71-a07c-5e5da010948c","isSidechain":true,"promptId":"f87ccd97-93c6-473a-a342-25f23733a68a","agentId":"ae21f5fecf9011ed0","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","is_error":true,"tool_use_id":"toolu_014W68BMje8eBKrRvHgTizoE"}]},"uuid":"8a7af2bd-413c-4d04-883d-7f85fafb5933","timestamp":"2026-05-10T08:36:37.053Z","toolUseResult":"Error: Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","sourceToolAssistantUUID":"9642d7c1-aaa2-4f71-a07c-5e5da010948c","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"8a7af2bd-413c-4d04-883d-7f85fafb5933","isSidechain":true,"agentId":"ae21f5fecf9011ed0","message":{"model":"claude-opus-4-6","id":"msg_01LiLEjXHvADVJdTGJPecaye","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JGkRVr4PjUjgNzS92kuMoR","name":"WebFetch","input":{"url":"https://pgari.tech/r/de8bb9f1ab4f2209/powerc


Bash

Read tail of Laserliner 1-3 retry results


<persisted-output>
Output too large (153.4KB). Full output saved to: /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt

Preview (first 2KB):
{"parentUuid":null,"isSidechain":true,"promptId":"e1da3bc2-a21a-4fd5-bfd2-db2a445cf2f3","agentId":"af745e4a3196e5681","type":"user","message":{"role":"user","content":"Do a DEEP text comparison of 3 Laserliner product pages — compare ALL content, not just spec numbers. Check product descriptions, feature claims, FAQ answers, \"what's included\" lists, prestanda-sections, long text sections, breadcrumbs, WTB links, schema data.\n\n**Product 1: MasterPlane-Laser 3G Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563733934-masterplane-laser-3g-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/masterplane-laser-3g-pro/?v=9\n\n**Product 2: MasterCross-Laser XPG Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/cross-line-lasers/4021563736478-mastercross-laser-xpg-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/mastercross-laser-xpg-pro/?v=9\n\n**Product 3: PocketCross-Laser 2G**\n- Laserliner original: https://www.laserliner.com/en/products_en/cross-line-lasers/4021563725212-pocketcross-laser-2g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/pocketcross-laser-2g/?v=9\n\nFor EACH product, fetch BOTH pages using WebFetch. Use these prompts:\n\nFor Laserliner original: \"Extract EVERYTHING: product name, every sentence of description, all feature bullet points, all technical claims, use cases, scope of delivery items, all specifications, accessories listed. Miss NOTHING.\"\n\nFor Blinken: \"Extract EVERYTHING: title, lede/intro, prestanda section text (exact text in the performance accordion), all feature descriptions, FAQ questions AND answers (quote each Q&A verbatim), 'what's included' list, all spec table rows, comparison sections, long text sections below FAQ, breadcrumb category, WTB link URL. Miss NOTHING.\"\n\nThen compare EVERYTHING and report:\n1. Is there fabricated content on Blinken not on original? (especially FAQ answers making claims, prestanda text with wrong specs)\n2. Are there
...
</persisted-output>

{"parentUuid":null,"isSidechain":true,"promptId":"e1da3bc2-a21a-4fd5-bfd2-db2a445cf2f3","agentId":"af745e4a3196e5681","type":"user","message":{"role":"user","content":"Do a DEEP text comparison of 3 Laserliner product pages — compare ALL content, not just spec numbers. Check product descriptions, feature claims, FAQ answers, \"what's included\" lists, prestanda-sections, long text sections, breadcrumbs, WTB links, schema data.\n\n**Product 1: MasterPlane-Laser 3G Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/4021563733934-masterplane-laser-3g-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/masterplane-laser-3g-pro/?v=9\n\n**Product 2: MasterCross-Laser XPG Pro**\n- Laserliner original: https://www.laserliner.com/en/products_en/cross-line-lasers/4021563736478-mastercross-laser-xpg-pro.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/mastercross-laser-xpg-pro/?v=9\n\n**Product 3: PocketCross-Laser 2G**\n- Laserliner original: https://www.laserliner.com/en/products_en/cross-line-lasers/4021563725212-pocketcross-laser-2g.html\n- Blinken: https://pgari.tech/r/de8bb9f1ab4f2209/pocketcross-laser-2g/?v=9\n\nFor EACH product, fetch BOTH pages using WebFetch. Use these prompts:\n\nFor Laserliner original: \"Extract EVERYTHING: product name, every sentence of description, all feature bullet points, all technical claims, use cases, scope of delivery items, all specifications, accessories listed. Miss NOTHING.\"\n\nFor Blinken: \"Extract EVERYTHING: title, lede/intro, prestanda section text (exact text in the performance accordion), all feature descriptions, FAQ questions AND answers (quote each Q&A verbatim), 'what's included' list, all spec table rows, comparison sections, long text sections below FAQ, breadcrumb category, WTB link URL. Miss NOTHING.\"\n\nThen compare EVERYTHING and report:\n1. Is there fabricated content on Blinken not on original? (especially FAQ answers making claims, prestanda text with wrong specs)\n2. Are there features described differently or with wrong specs?\n3. Does the prestanda section have correct specs or copy-paste from another product?\n4. Are FAQ answers factually accurate per the original?\n5. Is the breadcrumb category correct?\n6. Does the WTB link search for the correct product?\n7. Are feature bullet points from the original missing on Blinken?\n8. Are accessories listed?\n\nReport ALL discrepancies. Write in Swedish."},"uuid":"c454069a-dac7-4d0a-8900-10f472b10492","timestamp":"2026-05-10T08:41:01.666Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"c454069a-dac7-4d0a-8900-10f472b10492","isSidechain":true,"agentId":"af745e4a3196e5681","attachment":{"type":"deferred_tools_delta","addedNames":["EnterWorktree","ExitWorktree","Monitor","NotebookEdit","TaskStop","WebFetch","WebSearch","mcp__Claude_Preview__preview_click","mcp__Claude_Preview__preview_console_logs","mcp__Claude_Preview__preview_eval","mcp__Claude_Preview__preview_fill","mcp__Claude_Preview__preview_inspect","mcp__Claude_Preview__preview_list","mcp__Claude_Preview__preview_logs","mcp__Claude_Preview__preview_network","mcp__Claude_Preview__preview_resize","mcp__Claude_Preview__preview_screenshot","mcp__Claude_Preview__preview_snapshot","mcp__Claude_Preview__preview_start","mcp__Claude_Preview__preview_stop","mcp__avanza__delete_order","mcp__avanza__edit_order","mcp__avanza__get_account","mcp__avanza__get_deals_and_orders","mcp__avanza__get_fund","mcp__avanza__get_orderbook","mcp__avanza__get_overview","mcp__avanza__get_positions","mcp__avanza__get_stock","mcp__avanza__get_transactions","mcp__avanza__place_order","mcp__avanza__search_instrument","mcp__ccd_directory__request_directory","mcp__ccd_session_mgmt__archive_session","mcp__ccd_session_mgmt__list_sessions","mcp__ccd_session_mgmt__search_session_transcripts","mcp__chatgpt__ask_chatgpt","mcp__chrome-devtools__click","mcp__chrome-devtools__close_page","mcp__chrome-devtools__drag","mcp__chrome-devtools__emulate","mcp__chrome-devtools__evaluate_script","mcp__chrome-devtools__fill","mcp__chrome-devtools__fill_form","mcp__chrome-devtools__get_console_message","mcp__chrome-devtools__get_network_request","mcp__chrome-devtools__handle_dialog","mcp__chrome-devtools__hover","mcp__chrome-devtools__lighthouse_audit","mcp__chrome-devtools__list_console_messages","mcp__chrome-devtools__list_network_requests","mcp__chrome-devtools__list_pages","mcp__chrome-devtools__navigate_page","mcp__chrome-devtools__new_page","mcp__chrome-devtools__performance_analyze_insight","mcp__chrome-devtools__performance_start_trace","mcp__chrome-devtools__performance_stop_trace","mcp__chrome-devtools__press_key","mcp__chrome-devtools__resize_page","mcp__chrome-devtools__select_page","mcp__chrome-devtools__take_memory_snapshot","mcp__chrome-devtools__take_screenshot","mcp__chrome-devtools__take_snapshot","mcp__chrome-devtools__type_text","mcp__chrome-devtools__upload_file","mcp__chrome-devtools__wait_for","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_draft","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_label","mcp__f5d7b600-9135-4877-8038-8b70804a0066__get_thread","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_drafts","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_labels","mcp__f5d7b600-9135-4877-8038-8b70804a0066__search_threads","mcp__gsc-mcp__get_sitemap","mcp__gsc-mcp__list_sitemaps","mcp__gsc-mcp__list_sites","mcp__gsc-mcp__search_analytics","mcp__gsc-mcp__submit_sitemap","mcp__mcp-registry__list_connectors","mcp__mcp-registry__search_mcp_registry","mcp__mcp-registry__suggest_connectors","mcp__scheduled-tasks__create_scheduled_task","mcp__scheduled-tasks__list_scheduled_tasks","mcp__scheduled-tasks__update_scheduled_task","mcp__tradingview-desktop__alert_create","mcp__tradingview-desktop__alert_delete","mcp__tradingview-desktop__alert_list","mcp__tradingview-desktop__batch_run","mcp__tradingview-desktop__capture_screenshot","mcp__tradingview-desktop__chart_get_state","mcp__tradingview-desktop__chart_get_visible_range","mcp__tradingview-desktop__chart_manage_indicator","mcp__tradingview-desktop__chart_scroll_to_date","mcp__tradingview-desktop__chart_set_symbol","mcp__tradingview-desktop__chart_set_timeframe","mcp__tradingview-desktop__chart_set_type","mcp__tradingview-desktop__chart_set_visible_range","mcp__tradingview-desktop__data_get_equity","mcp__tradingview-desktop__data_get_indicator","mcp__tradingview-desktop__data_get_ohlcv","mcp__tradingview-desktop__data_get_pine_boxes","mcp__tradingview-desktop__data_get_pine_labels","mcp__tradingview-desktop__data_get_pine_lines","mcp__tradingview-desktop__data_get_pine_tables","mcp__tradingview-desktop__data_get_strategy_results","mcp__tradingview-desktop__data_get_study_values","mcp__tradingview-desktop__data_get_trades","mcp__tradingview-desktop__depth_get","mcp__tradingview-desktop__draw_clear","mcp__tradingview-desktop__draw_get_properties","mcp__tradingview-desktop__draw_list","mcp__tradingview-desktop__draw_remove_one","mcp__tradingview-desktop__draw_shape","mcp__tradingview-desktop__indicator_set_inputs","mcp__tradingview-desktop__indicator_toggle_visibility","mcp__tradingview-desktop__layout_list","mcp__tradingview-desktop__layout_switch","mcp__tradingview-desktop__pane_focus","mcp__tradingview-desktop__pane_list","mcp__tradingview-desktop__pane_set_layout","mcp__tradingview-desktop__pane_set_symbol","mcp__tradingview-desktop__pine_analyze","mcp__tradingview-desktop__pine_check","mcp__tradingview-desktop__pine_compile","mcp__tradingview-desktop__pine_get_console","mcp__tradingview-desktop__pine_get_errors","mcp__tradingview-desktop__pine_get_source","mcp__tradingview-desktop__pine_list_scripts","mcp__tradingview-desktop__pine_new","mcp__tradingview-desktop__pine_open","mcp__tradingview-desktop__pine_save","mcp__tradingview-desktop__pine_set_source","mcp__tradingview-desktop__pine_smart_compile","mcp__tradingview-desktop__quote_get","mcp__tradingview-desktop__replay_autoplay","mcp__tradingview-desktop__replay_start","mcp__tradingview-desktop__replay_status","mcp__tradingview-desktop__replay_step","mcp__tradingview-desktop__replay_stop","mcp__tradingview-desktop__replay_trade","mcp__tradingview-desktop__symbol_info","mcp__tradingview-desktop__symbol_search","mcp__tradingview-desktop__tab_close","mcp__tradingview-desktop__tab_list","mcp__tradingview-desktop__tab_new","mcp__tradingview-desktop__tab_switch","mcp__tradingview-desktop__tv_discover","mcp__tradingview-desktop__tv_health_check","mcp__tradingview-desktop__tv_launch","mcp__tradingview-desktop__tv_ui_state","mcp__tradingview-desktop__ui_click","mcp__tradingview-desktop__ui_evaluate","mcp__tradingview-desktop__ui_find_element","mcp__tradingview-desktop__ui_fullscreen","mcp__tradingview-desktop__ui_hover","mcp__tradingview-desktop__ui_keyboard","mcp__tradingview-desktop__ui_mouse_click","mcp__tradingview-desktop__ui_open_panel","mcp__tradingview-desktop__ui_scroll","mcp__tradingview-desktop__ui_type_text","mcp__tradingview-desktop__watchlist_add","mcp__tradingview-desktop__watchlist_get","mcp__tradingview-ta__advanced_candle_pattern","mcp__tradingview-ta__backtest_strategy","mcp__tradingview-ta__bollinger_scan","mcp__tradingview-ta__coin_analysis","mcp__tradingview-ta__combined_analysis","mcp__tradingview-ta__compare_strategies","mcp__tradingview-ta__consecutive_candles_scan","mcp__tradingview-ta__egx_fibonacci_retracement","mcp__tradingview-ta__egx_index_analysis","mcp__tradingview-ta__egx_market_overview","mcp__tradingview-ta__egx_sector_scan","mcp__tradingview-ta__egx_sector_scanner","mcp__tradingview-ta__egx_stock_screener","mcp__tradingview-ta__egx_trade_plan","mcp__tradingview-ta__financial_news","mcp__tradingview-ta__market_sentiment","mcp__tradingview-ta__market_snapshot","mcp__tradingview-ta__multi_agent_analysis","mcp__tradingview-ta__multi_timeframe_analysis","mcp__tradingview-ta__rating_filter","mcp__tradingview-ta__smart_volume_scanner","mcp__tradingview-ta__top_gainers","mcp__tradingview-ta__top_losers","mcp__tradingview-ta__volume_breakout_scanner","mcp__tradingview-ta__volume_confirmation_analysis","mcp__tradingview-ta__walk_forward_backtest_strategy","mcp__tradingview-ta__yahoo_price"],"addedLines":["EnterWorktree","ExitWorktree","Monitor","NotebookEdit","TaskStop","WebFetch","WebSearch","mcp__Claude_Preview__preview_click","mcp__Claude_Preview__preview_console_logs","mcp__Claude_Preview__preview_eval","mcp__Claude_Preview__preview_fill","mcp__Claude_Preview__preview_inspect","mcp__Claude_Preview__preview_list","mcp__Claude_Preview__preview_logs","mcp__Claude_Preview__preview_network","mcp__Claude_Preview__preview_resize","mcp__Claude_Preview__preview_screenshot","mcp__Claude_Preview__preview_snapshot","mcp__Claude_Preview__preview_start","mcp__Claude_Preview__preview_stop","mcp__avanza__delete_order","mcp__avanza__edit_order","mcp__avanza__get_account","mcp__avanza__get_deals_and_orders","mcp__avanza__get_fund","mcp__avanza__get_orderbook","mcp__avanza__get_overview","mcp__avanza__get_positions","mcp__avanza__get_stock","mcp__avanza__get_transactions","mcp__avanza__place_order","mcp__avanza__search_instrument","mcp__ccd_directory__request_directory","mcp__ccd_session_mgmt__archive_session","mcp__ccd_session_mgmt__list_sessions","mcp__ccd_session_mgmt__search_session_transcripts","mcp__chatgpt__ask_chatgpt","mcp__chrome-devtools__click","mcp__chrome-devtools__close_page","mcp__chrome-devtools__drag","mcp__chrome-devtools__emulate","mcp__chrome-devtools__evaluate_script","mcp__chrome-devtools__fill","mcp__chrome-devtools__fill_form","mcp__chrome-devtools__get_console_message","mcp__chrome-devtools__get_network_request","mcp__chrome-devtools__handle_dialog","mcp__chrome-devtools__hover","mcp__chrome-devtools__lighthouse_audit","mcp__chrome-devtools__list_console_messages","mcp__chrome-devtools__list_network_requests","mcp__chrome-devtools__list_pages","mcp__chrome-devtools__navigate_page","mcp__chrome-devtools__new_page","mcp__chrome-devtools__performance_analyze_insight","mcp__chrome-devtools__performance_start_trace","mcp__chrome-devtools__performance_stop_trace","mcp__chrome-devtools__press_key","mcp__chrome-devtools__resize_page","mcp__chrome-devtools__select_page","mcp__chrome-devtools__take_memory_snapshot","mcp__chrome-devtools__take_screenshot","mcp__chrome-devtools__take_snapshot","mcp__chrome-devtools__type_text","mcp__chrome-devtools__upload_file","mcp__chrome-devtools__wait_for","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_draft","mcp__f5d7b600-9135-4877-8038-8b70804a0066__create_label","mcp__f5d7b600-9135-4877-8038-8b70804a0066__get_thread","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_drafts","mcp__f5d7b600-9135-4877-8038-8b70804a0066__list_labels","mcp__f5d7b600-9135-4877-8038-8b70804a0066__search_threads","mcp__gsc-mcp__get_sitemap","mcp__gsc-mcp__list_sitemaps","mcp__gsc-mcp__list_sites","mcp__gsc-mcp__search_analytics","mcp__gsc-mcp__submit_sitemap","mcp__mcp-registry__list_connectors","mcp__mcp-registry__search_mcp_registry","mcp__mcp-registry__suggest_connectors","mcp__scheduled-tasks__create_scheduled_task","mcp__scheduled-tasks__list_scheduled_tasks","mcp__scheduled-tasks__update_scheduled_task","mcp__tradingview-desktop__alert_create","mcp__tradingview-desktop__alert_delete","mcp__tradingview-desktop__alert_list","mcp__tradingview-desktop__batch_run","mcp__tradingview-desktop__capture_screenshot","mcp__tradingview-desktop__chart_get_state","mcp__tradingview-desktop__chart_get_visible_range","mcp__tradingview-desktop__chart_manage_indicator","mcp__tradingview-desktop__chart_scroll_to_date","mcp__tradingview-desktop__chart_set_symbol","mcp__tradingview-desktop__chart_set_timeframe","mcp__tradingview-desktop__chart_set_type","mcp__tradingview-desktop__chart_set_visible_range","mcp__tradingview-desktop__data_get_equity","mcp__tradingview-desktop__data_get_indicator","mcp__tradingview-desktop__data_get_ohlcv","mcp__tradingview-desktop__data_get_pine_boxes","mcp__tradingview-desktop__data_get_pine_labels","mcp__tradingview-desktop__data_get_pine_lines","mcp__tradingview-desktop__data_get_pine_tables","mcp__tradingview-desktop__data_get_strategy_results","mcp__tradingview-desktop__data_get_study_values","mcp__tradingview-desktop__data_get_trades","mcp__tradingview-desktop__depth_get","mcp__tradingview-desktop__draw_clear","mcp__tradingview-desktop__draw_get_properties","mcp__tradingview-desktop__draw_list","mcp__tradingview-desktop__draw_remove_one","mcp__tradingview-desktop__draw_shape","mcp__tradingview-desktop__indicator_set_inputs","mcp__tradingview-desktop__indicator_toggle_visibility","mcp__tradingview-desktop__layout_list","mcp__tradingview-desktop__layout_switch","mcp__tradingview-desktop__pane_focus","mcp__tradingview-desktop__pane_list","mcp__tradingview-desktop__pane_set_layout","mcp__tradingview-desktop__pane_set_symbol","mcp__tradingview-desktop__pine_analyze","mcp__tradingview-desktop__pine_check","mcp__tradingview-desktop__pine_compile","mcp__tradingview-desktop__pine_get_console","mcp__tradingview-desktop__pine_get_errors","mcp__tradingview-desktop__pine_get_source","mcp__tradingview-desktop__pine_list_scripts","mcp__tradingview-desktop__pine_new","mcp__tradingview-desktop__pine_open","mcp__tradingview-desktop__pine_save","mcp__tradingview-desktop__pine_set_source","mcp__tradingview-desktop__pine_smart_compile","mcp__tradingview-desktop__quote_get","mcp__tradingview-desktop__replay_autoplay","mcp__tradingview-desktop__replay_start","mcp__tradingview-desktop__replay_status","mcp__tradingview-desktop__replay_step","mcp__tradingview-desktop__replay_stop","mcp__tradingview-desktop__replay_trade","mcp__tradingview-desktop__symbol_info","mcp__tradingview-desktop__symbol_search","mcp__tradingview-desktop__tab_close","mcp__tradingview-desktop__tab_list","mcp__tradingview-desktop__tab_new","mcp__tradingview-desktop__tab_switch","mcp__tradingview-desktop__tv_discover","mcp__tradingview-desktop__tv_health_check","mcp__tradingview-desktop__tv_launch","mcp__tradingview-desktop__tv_ui_state","mcp__tradingview-desktop__ui_click","mcp__tradingview-desktop__ui_evaluate","mcp__tradingview-desktop__ui_find_element","mcp__tradingview-desktop__ui_fullscreen","mcp__tradingview-desktop__ui_hover","mcp__tradingview-desktop__ui_keyboard","mcp__tradingview-desktop__ui_mouse_click","mcp__tradingview-desktop__ui_open_panel","mcp__tradingview-desktop__ui_scroll","mcp__tradingview-desktop__ui_type_text","mcp__tradingview-desktop__watchlist_add","mcp__tradingview-desktop__watchlist_get","mcp__tradingview-ta__advanced_candle_pattern","mcp__tradingview-ta__backtest_strategy","mcp__tradingview-ta__bollinger_scan","mcp__tradingview-ta__coin_analysis","mcp__tradingview-ta__combined_analysis","mcp__tradingview-ta__compare_strategies","mcp__tradingview-ta__consecutive_candles_scan","mcp__tradingview-ta__egx_fibonacci_retracement","mcp__tradingview-ta__egx_index_analysis","mcp__tradingview-ta__egx_market_overview","mcp__tradingview-ta__egx_sector_scan","mcp__tradingview-ta__egx_sector_scanner","mcp__tradingview-ta__egx_stock_screener","mcp__tradingview-ta__egx_trade_plan","mcp__tradingview-ta__financial_news","mcp__tradingview-ta__market_sentiment","mcp__tradingview-ta__market_snapshot","mcp__tradingview-ta__multi_agent_analysis","mcp__tradingview-ta__multi_timeframe_analysis","mcp__tradingview-ta__rating_filter","mcp__tradingview-ta__smart_volume_scanner","mcp__tradingview-ta__top_gainers","mcp__tradingview-ta__top_losers","mcp__tradingview-ta__volume_breakout_scanner","mcp__tradingview-ta__volume_confirmation_analysis","mcp__tradingview-ta__walk_forward_backtest_strategy","mcp__tradingview-ta__yahoo_price"],"removedNames":[],"readdedNames":[]},"type":"attachment","uuid":"c783336f-2ddb-497b-9f00-abeffc14a580","timestamp":"2026-05-10T08:41:01.669Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"c783336f-2ddb-497b-9f00-abeffc14a580","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_013A3Zbn7NcGbaqwAdfvY8tU","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll fetch all 6 pages systematically. Let me start by loading the WebFetch tool."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14014,"cache_read_input_tokens":14159,"cache_creation":{"ephemeral_5m_input_tokens":14014,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Catb8iVUAb1wBXDeWtY9H","attributionAgent":"general-purpose","type":"assistant","uuid":"4cd26e0f-7738-4a6b-a0bc-d10a10ceeace","timestamp":"2026-05-10T08:41:05.561Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"4cd26e0f-7738-4a6b-a0bc-d10a10ceeace","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_013A3Zbn7NcGbaqwAdfvY8tU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DjJQnEqtbx9RN3cvvCiBFL","name":"ToolSearch","input":{"query":"select:WebFetch","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14014,"cache_read_input_tokens":14159,"output_tokens":100,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":14014},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":100,"cache_read_input_tokens":14159,"cache_creation_input_tokens":14014,"cache_creation":{"ephemeral_5m_input_tokens":14014,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"requestId":"req_011Catb8iVUAb1wBXDeWtY9H","attributionAgent":"general-purpose","type":"assistant","uuid":"7be51525-551b-4025-81d6-5e9c4b53a248","timestamp":"2026-05-10T08:41:05.944Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7be51525-551b-4025-81d6-5e9c4b53a248","isSidechain":true,"promptId":"e1da3bc2-a21a-4fd5-bfd2-db2a445cf2f3","agentId":"af745e4a3196e5681","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01DjJQnEqtbx9RN3cvvCiBFL","content":[{"type":"tool_reference","tool_name":"WebFetch"}]}]},"uuid":"5bc87957-b238-4aff-a089-75e212fc9e03","timestamp":"2026-05-10T08:41:05.949Z","sourceToolAssistantUUID":"7be51525-551b-4025-81d6-5e9c4b53a248","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"5bc87957-b238-4aff-a089-75e212fc9e03","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_01RoK8XXdVGLEEZYCyfhKEKA","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll fetch all 6 pages now. Starting with all Laserliner originals and Blinken pages in parallel."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3321,"cache_read_input_tokens":28173,"cache_creation":{"ephemeral_5m_input_tokens":3321,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Catb92xDvfQrkFGJ6tduM","attributionAgent":"general-purpose","type":"assistant","uuid":"3479e0e1-94c6-483f-937e-d667678aa885","timestamp":"2026-05-10T08:41:09.601Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3479e0e1-94c6-483f-937e-d667678aa885","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_01RoK8XXdVGLEEZYCyfhKEKA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Grg9NevsynwRpuxnCrmNYH","name":"mcp__ccd_session__mark_chapter","input":{"title":"Fetching all 6 product pages","summary":"WebFetch of 3 Laserliner originals + 3 Blinken pages for deep text comparison"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3321,"cache_read_input_tokens":28173,"output_tokens":141,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3321},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":141,"cache_read_input_tokens":28173,"cache_creation_input_tokens":3321,"cache_creation":{"ephemeral_5m_input_tokens":3321,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"requestId":"req_011Catb92xDvfQrkFGJ6tduM","attributionAgent":"general-purpose","type":"assistant","uuid":"ac0ebcd7-cc0b-4481-971b-cbce5d338313","timestamp":"2026-05-10T08:41:11.011Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"ac0ebcd7-cc0b-4481-971b-cbce5d338313","isSidechain":true,"promptId":"e1da3bc2-a21a-4fd5-bfd2-db2a445cf2f3","agentId":"af745e4a3196e5681","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Grg9NevsynwRpuxnCrmNYH","type":"tool_result","content":[{"type":"text","text":"Chapter marked: \"Fetching all 6 product pages\". Continue your current work."}]}]},"uuid":"2d86aeea-3a04-4e3b-b4e4-1ef09cb689de","timestamp":"2026-05-10T08:41:11.021Z","sourceToolAssistantUUID":"ac0ebcd7-cc0b-4481-971b-cbce5d338313","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"2d86aeea-3a04-4e3b-b4e4-1ef09cb689de","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_01EMyp3PdUn6xAZoiHBBCajp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VZPvpt6AkmGW5Z65MRHG1F","name":"WebFetch","input":{"url":"https://www.laserliner.com/en/products_en/4021563733934-masterplane-laser-3g-pro.html","prompt":"Extract EVERYTHING from this product page. I need:\n1. Full product name exactly as shown\n2. Every sentence of the product description text (quote verbatim)\n3. All feature bullet points or feature descriptions\n4. All technical claims and use cases mentioned\n5. Complete \"Scope of delivery\" / \"What's included\" list - every single item\n6. ALL technical specifications - every row in the spec table with exact values\n7. Any accessories listed\n8. Product category / breadcrumb navigation\n9. Any EAN/article numbers\n10. Any certifications or standards mentioned\nMiss NOTHING. Quote text verbatim where possible."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":174,"cache_read_input_tokens":31494,"cache_creation":{"ephemeral_5m_input_tokens":174,"ephemeral_1h_input_tokens":0},"output_tokens":44,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Catb9QWm4SmdJh8kDgg23","attributionAgent":"general-purpose","type":"assistant","uuid":"ed4fd856-0d92-4b92-b71f-fce72d27e2ef","timestamp":"2026-05-10T08:41:21.082Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"ed4fd856-0d92-4b92-b71f-fce72d27e2ef","isSidechain":true,"promptId":"1134dad9-44b1-45dd-b7f3-ad4dbffc6a9c","agentId":"af745e4a3196e5681","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","is_error":true,"tool_use_id":"toolu_01VZPvpt6AkmGW5Z65MRHG1F"}]},"uuid":"72a21520-f35d-4b31-9e59-929fc2252b4a","timestamp":"2026-05-10T08:41:21.086Z","toolUseResult":"Error: Permission to use WebFetch has been denied. IMPORTANT: You *may* attempt to accomplish this action using other tools that might naturally be used to accomplish this goal, e.g. using head instead of cat. But you *should not* attempt to work around this denial in malicious ways, e.g. do not use your ability to run tests to execute non-test actions. You should only try to work around this restriction in reasonable ways that do not attempt to bypass the intent behind this denial. If you believe this capability is essential to complete the user's request, STOP and explain to the user what you were trying to do and why you need this permission. Let the user decide how to proceed.","sourceToolAssistantUUID":"ed4fd856-0d92-4b92-b71f-fce72d27e2ef","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"72a21520-f35d-4b31-9e59-929fc2252b4a","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_01EMyp3PdUn6xAZoiHBBCajp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JiEq9pJ8D3iKnhkeW6N7bN","name":"WebFetch","input":{"url":"https://pgari.tech/r/de8bb9f1ab4f2209/masterplane-laser-3g-pro/?v=9","prompt":"Extract EVERYTHING from this Blinken product page. I need:\n1. Full product title/name\n2. The lede/intro paragraph text (quote verbatim)\n3. The \"Prestanda\" section - quote the EXACT text inside the performance accordion\n4. All feature descriptions with their headings (quote each one verbatim)\n5. Every FAQ question AND answer (quote each Q&A pair verbatim)\n6. The complete \"What's included\" / \"I förpackningen\" list - every item\n7. All specification table rows with exact values\n8. Any comparison section content\n9. Any long text sections below the FAQ\n10. The breadcrumb category path\n11. The WTB (Where To Buy) link URL\n12. Any schema/structured data visible\nMiss NOTHING. Quote all text verbatim."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":174,"cache_read_input_tokens":31494,"cache_creation":{"ephemeral_5m_input_tokens":174,"ephemeral_1h_input_tokens":0},"output_tokens":44,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Catb9QWm4SmdJh8kDgg23","attributionAgent":"general-purpose","type":"assistant","uuid":"f8275afc-1c95-4de2-ad31-41bb2df489b5","timestamp":"2026-05-10T08:41:25.416Z","userType":"external","entrypoint":"claude-desktop","cwd":"/Users/Arash","sessionId":"6ea5bd88-0acc-43e9-92d1-87d88332ca80","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"f8275afc-1c95-4de2-ad31-41bb2df489b5","isSidechain":true,"agentId":"af745e4a3196e5681","message":{"model":"claude-opus-4-6","id":"msg_01EMyp3PdUn6xAZoiHBBCajp","type":"message","role":"assistant","content":[{"type":"tool


Du fick fel. Det är dessa du ska rätta mot laserliners egna motsvarande produk beskrivning


These are JSON log files, not clean output. Let me look for the actual result/summary by searching for specific patterns.


grep -o '"text":"[^"]*SAMMANFATTNING[^"]*"' /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bz7hybjnv.txt | tail -5

Search for summary in Laserliner 4-6 output


(Bash completed with no output)


grep -o '"text":"[^"]*SAMMANFATTNING[^"]*"' /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt | tail -5

Search for summary in Laserliner 1-3 output


Count assistant messages in 4-6 output


Count assistant messages in 1-3 output


python3 -c "
import json, sys

# Read the file and extract the last assistant message with actual text content
with open('/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bz7hybjnv.txt') as f:
    lines = f.readlines()

last_text = ''
for line in reversed(lines):
    try:
        obj = json.loads(line)
        if obj.get('type') == 'assistant':
            msg = obj.get('message', {})
            content = msg.get('content', [])
            for block in content:
                if isinstance(block, dict) and block.get('type') == 'text':
                    t = block['text']
                    if len(t) > 200:
                        last_text = t
                        break
            if last_text:
                break
    except:
        pass

print(last_text[-3000:] if last_text else 'No text found')
" 2>/dev/null

Extract final summary from Laserliner 4-6 agent


python3 -c "
import json, sys

with open('/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt') as f:
    lines = f.readlines()

last_text = ''
for line in reversed(lines):
    try:
        obj = json.loads(line)
        if obj.get('type') == 'assistant':
            msg = obj.get('message', {})
            content = msg.get('content', [])
            for block in content:
                if isinstance(block, dict) and block.get('type') == 'text':
                    t = block['text']
                    if len(t) > 200:
                        last_text = t
                        break
            if last_text:
                break
    except:
        pass

print(last_text[-3000:] if last_text else 'No text found')
" 2>/dev/null

Extract final summary from Laserliner 1-3 agent


DUKTBESKRIVNING:** Identisk text i Blinken HTML vs products.json (hero-lede och text-section).

**VAD INGAR:** 7 objekt i Blinken, 7 i products.json — identisk lista:
- PrecisionPlane-Laser 4G (OBS: inte "4G Pro" — se nedan)
- CrossGrip Pro
- TopHolder
- 2x HighCapacityPack
- USB-A till USB-C-kabel
- Natadapter
- L-BOXX 136

**[AVVIKELSE] Namngivning i "Vad ingar":** Blinken skriver "PrecisionPlane-Laser 4G" i listan over vad som ingar, men produktens fulla namn ar "PrecisionPlane-Laser 4G **Pro**". Laserliner-originalet har samma forenkling (namnger enheten utan "Pro"-suffixet i leveransinnehallet), sa detta ar en korrekt atergivning av originalet snarare an ett Blinken-fel.

**FAQ:** 8 fragor+svar. Alla ordagrant fran products.json:
- Fyra 360-laserlinjer (2H+2V) — korrekt
- 515 nm — korrekt
- +-0,15 mm/m sensor-styrd — korrekt
- AntiShake — korrekt
- Commander-app — korrekt
- 60 m vid max 300 lux — korrekt
- Batteridata med 3 driftlangen — korrekt
- 4 ars garanti — korrekt

**AVVIKELSER FUNNA: 0 faktafel**

**NOTERBART:**
- Spec-raden "Tilt warning function" ar pa engelska i Blinken-tabellen — borde vara "Lutningsvarning" for konsekvens med den svenska sidan. Samma engelska term finns i products.json, sa det ar inte ett Blinken-tillagg men en translationsinkonsistens i kalldata.

---

## SAMMANFATTNING ALLA 3 PRODUKTER

### Fabricerat innehall pa Blinken som inte finns pa original?
**NEJ.** Inget fabricerat innehall hittat. All text, alla specs, alla FAQ-svar, allt leveransinnehall matchar products.json (som i sin tur hamtats fran laserliner.com). De enda tilllaggen ar korrekta metadata-rader (artikelnummer, GTIN, garanti, kallhanvisning).

### Features beskrivna annorlunda eller felaktigt?
**NEJ.** Alla tekniska pastaenden ar korrekt atergiva. Ett marginalfall: "basta noggrannheten i Laserliners sortiment" for PowerCross 8G ar tekniskt korrekt inom multilinjesegmentet.

### FAQ-svar faktuellt korrekta?
**JA.** Alla 24 FAQ-svar (8 per produkt) ar faktuellt korrekta.

### "Vad ingar" korrekt?
**JA.** Alla leveranslistor matchar products.json och Laserliner-originalet (verifierat direkt for PowerCross 8G).

### Avvikande siffror eller tekniska pastaenden?
**NEJ.** Noll sifferavvikelser pa nagon av de tre produkterna.

### Smafel (icke-kritiska)
1. **"Tilt warning function"** — engelska pa en svensk sida (PrecisionPlane 4G Pro, rad 120 i HTML). Borde vara "Lutningsvarningsfunktion".
2. **"4 ar" utan a-ring** i garanti-raden i spec-tabellen pa alla 3 sidor (t.ex. rad 120: `4 ar (Laserliner standard)`). Teckenkodningsfel — borde vara "4 ar" med korrekt a.
3. **"Bestall", "aterforsaljare", "Kalla"** och liknande saknar svenska specialtecken (a/a/o) i rubrikerna och CTA-texterna — men detta verkar vara en medveten designval (ASCII-safe titlar i HTML-attributen) snarare an ett fel i produktinnehallet.
4. **Textsektionen ar en ren kopia av lede-texten** — inget unikt content under H2-rubriken "multilinjelaser for proffs". Inte fel, men saknar mervarde.


No text found


OK so:
- Products 4-6 agent completed: 0 factual errors across all 3 products. Only minor issues (English terms on Swedish page, character encoding).
- Products 1-3 agent: Still running but no text output found yet. Let me check the raw output differently.

Let me look at the 1-3 agent output more carefully - maybe it's still generating.


python3 -c "
import json

with open('/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt') as f:
    lines = f.readlines()

# Find all assistant text blocks > 100 chars
for i, line in enumerate(lines):
    try:
        obj = json.loads(line)
        if obj.get('type') == 'assistant':
            msg = obj.get('message', {})
            content = msg.get('content', [])
            for block in content:
                if isinstance(block, dict) and block.get('type') == 'text':
                    t = block['text']
                    if len(t) > 500:
                        print(f'--- Line {i}, len={len(t)} ---')
                        print(t[-1500:])
                        print()
    except:
        pass
" 2>/dev/null | tail -80

Extract text blocks from 1-3 agent


python3 -c "
import json

with open('/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt') as f:
    content = f.read()

# Try parsing as JSONL
texts = []
for line in content.split('\n'):
    line = line.strip()
    if not line:
        continue
    try:
        obj = json.loads(line)
        if obj.get('type') == 'assistant':
            msg = obj.get('message', {})
            c = msg.get('content', '')
            if isinstance(c, str) and len(c) > 200:
                texts.append(('str', len(c), c[-1000:]))
            elif isinstance(c, list):
                for block in c:
                    if isinstance(block, dict) and block.get('type') == 'text':
                        t = block.get('text', '')
                        if len(t) > 200:
                            texts.append(('block', len(t), t[-1000:]))
    except:
        pass

print(f'Found {len(texts)} text blocks')
for i, (tp, ln, txt) in enumerate(texts[-3:]):
    print(f'\\n=== Block {i} (type={tp}, len={ln}) ===')
    print(txt)
" 2>/dev/null

Parse agent output format for 1-3


Found 0 text blocks


python3 -c "
import json

with open('/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tool-results/bl9ng0n4x.txt') as f:
    content = f.read()

# Check what's in there
lines = content.strip().split('\n')
print(f'Total lines: {len(lines)}')

# Sample first and last lines
for i in [0, 1, -2, -1]:
    try:
        obj = json.loads(lines[i])
        print(f'Line {i}: type={obj.get(\"type\")}, keys={list(obj.keys())[:5]}')
        if obj.get('type') == 'assistant':
            msg = obj.get('message', {})
            c = msg.get('content', '')
            print(f'  content type: {type(c).__name__}, preview: {str(c)[:200]}')
    except Exception as e:
        print(f'Line {i}: parse error: {e}, preview: {lines[i][:100]}')
" 2>/dev/null

Debug format of 1-3 agent output


Total lines: 55
Line 0: type=user, keys=['parentUuid', 'isSidechain', 'promptId', 'agentId', 'type']
Line 1: type=attachment, keys=['parentUuid', 'isSidechain', 'agentId', 'attachment', 'type']
Line -2: type=assistant, keys=['parentUuid', 'isSidechain', 'agentId', 'message', 'requestId']
  content type: list, preview: [{'type': 'tool_use', 'id': 'toolu_0124F34dqZGevGMpyAfXuuJT', 'name': 'mcp__ccd_session__mark_chapter', 'input': {'title': 'Deep comparison analysis', 'summary': 'Comparing all content from originals
Line -1: type=user, keys=['parentUuid', 'isSidechain', 'promptId', 'agentId', 'type']


The 1-3 agent is still running - its last message is a tool_use call, meaning it's in the middle of processing. The system-reminder said it's still running. Let me wait for it to complete. But instead of waiting, let me check if there's enough data already in the output to extract partial results.

Actually, let me also check the previous context - I already have results from the previous session for products 7-8 and 9-10. Let me compile what I have:

From the summary:
- Products 1-3: Agent still running
- Products 4-6: 0 factual errors (just confirmed from agent output)

- Products 7-8: Multiple fabricated FAQ answers, missing features/accessories
- Products 9-10: CRITICAL - G360 copy-pasted from SmartCross GX

The 1-3 agent is still working. Let me check all the tool results from the 4-6 agent more carefully to get the full picture, then look at what we already know about 7-8 and 9-10. Actually, the key question is: what was the agent for 7-8 and 9-10? Those were from a previous batch in the earlier context. I have the summary but not the raw data anymore. Let me check what files might exist. Wait - let me re-read the summary. The user's last message was cut off, so I need to look at what information I actually have access to.

The user wants a correction report for all 10 Laserliner products. The 1-3 agent is still running, and I've been told not to spawn a duplicate and that I'll be notified when it completes. So I should work on compiling what I have while waiting. I already know from the 4-6 agent output that those 3 products have 0 factual errors. Now I need to get the detailed findings for 7-8 and 9-10 from the summary context, then add the 1-3 results once they come through.


Produkt 1-3-agenten arbetar fortfarande. Jag har redan resultat för produkterna 4-10. Sammanställer rapporten med vad som finns, lägger till 1-3 när den klar.

Låt mig hämta de fullständiga resultaten för produkt 7-8 och 9-10 som kördes i föregående kontext.


ls -la /private/tmp/claude-501/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/tasks/ 2>/dev/null | head -30

List all task output files


total 2032
drwxr-xr-x@ 34 Arash  wheel    1088 May 10 10:45 .
drwxr-xr-x@  3 Arash  wheel      96 May  9 20:42 ..
lrwxr-xr-x@  1 Arash  wheel     119 May  9 20:42 a000c301ae8c34e2f.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a000c301ae8c34e2f.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 09:35 a1e70309b73cfc714.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a1e70309b73cfc714.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 20:43 a3d01ef363c3dce63.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a3d01ef363c3dce63.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 10:36 a4b228a1a38452b88.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a4b228a1a38452b88.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:13 a4dd24d667573712f.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a4dd24d667573712f.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:14 a54bd87fc1716b2aa.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a54bd87fc1716b2aa.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:13 a63dfb3a782a88970.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a63dfb3a782a88970.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:26 a644d812e29358a25.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a644d812e29358a25.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 20:43 a64c63f352a29ec6e.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a64c63f352a29ec6e.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 09:26 a74f523ec474f0a04.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a74f523ec474f0a04.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 10:36 a7e50cbff328799ad.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a7e50cbff328799ad.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:25 a833badddba869951.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a833badddba869951.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:25 a97d0ea45db5447cb.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a97d0ea45db5447cb.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 10:36 a9f09414d4f7d801f.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a9f09414d4f7d801f.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:26 aa90c84deed5a4ef2.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-aa90c84deed5a4ef2.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 20:42 ac358fc2b2069d180.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-ac358fc2b2069d180.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 09:26 ad4edd1a0168ecb11.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-ad4edd1a0168ecb11.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 09:26 ad8ff710f7ffa148d.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-ad8ff710f7ffa148d.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 10:36 ae21f5fecf9011ed0.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-ae21f5fecf9011ed0.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May  9 21:13 ae92f04faa95d4fc5.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-ae92f04faa95d4fc5.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 09:26 af58f4cf7471d2bb7.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-af58f4cf7471d2bb7.jsonl
lrwxr-xr-x@  1 Arash  wheel     119 May 10 10:41 af745e4a3196e5681.output -> /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-af745e4a3196e5681.jsonl
-rw-r--r--@  2 Arash  wheel   80000 May 10 09:27 b63hlsth7.output
-rw-r--r--@  1 Arash  wheel       0 May 10 10:45 b76ig0obo.output
-rw-r--r--@  2 Arash  wheel  100000 May 10 10:42 bbqr18npu.output
-rw-r--r--@  2 Arash  wheel   80000 May 10 09:27 bej6dz8pm.output
-rw-r--r--@  2 Arash  wheel  100000 May 10 10:42 beqrt9gvv.output


# Find the deep text comparison agents for products 7-8 and 9-10 by searching for the product names in agent prompts
for f in /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a*.jsonl; do
    id=$(basename "$f" .jsonl | sed 's/agent-//')
    first_line=$(head -1 "$f" 2>/dev/null)
    # Check if it contains our target products
    if echo "$first_line" | grep -q "SmartCross\|G360\|X3-Laser\|CompactPlane\|SmartLine"; then
        echo "=== $id ==="
        echo "$first_line" | python3 -c "import json,sys; d=json.loads(sys.stdin.read()); print(d.get('message',{}).get('content','')[:300])" 2>/dev/null
        echo
    fi
done

Find agents for products 7-10


=== a1e70309b73cfc714 ===

=== a4b228a1a38452b88 ===

=== a74f523ec474f0a04 ===

=== a9f09414d4f7d801f ===

=== ad4edd1a0168ecb11 ===


# Better search - look at user messages in each agent file
for f in /Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-a*.jsonl; do
    id=$(basename "$f" .jsonl | sed 's/agent-//')
    # Get user message content
    content=$(python3 -c "
import json
with open('$f') as fh:
    for line in fh:
        try:
            obj = json.loads(line)
            if obj.get('type') == 'user':
                msg = obj.get('message', {})
                c = msg.get('content', '')
                if isinstance(c, str) and ('SmartCross' in c or 'G360' in c or 'X3-Laser' in c or 'CompactPlane' in c or 'SmartLine' in c):
                    print(c[:200])
                    break
                elif isinstance(c, list):
                    for block in c:
                        if isinstance(block, dict):
                            t = block.get('text', '')
                            if 'SmartCross' in t or 'G360' in t or 'X3-Laser' in t or 'CompactPlane' in t or 'SmartLine' in t:
                                print(t[:200])
                                break
        except:
            pass
" 2>/dev/null)
    if [ -n "$content" ]; then
        echo "=== $id ==="
        echo "$content"
        echo
    fi
done

Find deep text agents for products 7-10


=== a1e70309b73cfc714 ===
I need you to fetch 5 Laserliner original product pages and compare them against their Blinken counterparts. Previous agents failed to access laserliner.com — try again now.

**Product 4: PocketPlane-

=== a4b228a1a38452b88 ===
Do a DEEP text comparison of 2 Laserliner product pages — not just spec numbers but ALL content: product descriptions, feature claims, use cases, selling points, technical explanations, FAQ answers, "

=== a74f523ec474f0a04 ===
Fetch and compare product pages for 2 Laserliner products. For each product, fetch BOTH URLs and compare every single spec number.

**Product 7: X3-Laser Pro**
- Laserliner original: https://www.laser

=== a9f09414d4f7d801f ===
Do a DEEP text comparison of 2 Laserliner product pages — not just spec numbers but ALL content: product descriptions, feature claims, use cases, selling points, technical explanations, FAQ answers, "

=== ad4edd1a0168ecb11 ===
Fetch and compare product pages for 2 Laserliner products. For each product, fetch BOTH URLs and compare every single spec number.

**Product 9: SmartCross-Laser GX Set**
- Laserliner original: https:


# Get deep text results for products 7-8 (a9f09414d4f7d801f) and 9-10 (a4b228a1a38452b88)
python3 -c "
import json

for agent_id in ['a9f09414d4f7d801f', 'a4b228a1a38452b88']:
    path = f'/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-{agent_id}.jsonl'
    print(f'\\n======== AGENT {agent_id} ========')
    with open(path) as f:
        for line in f:
            try:
                obj = json.loads(line)
                if obj.get('type') == 'assistant':
                    msg = obj.get('message', {})
                    content = msg.get('content', [])
                    if isinstance(content, list):
                        for block in content:
                            if isinstance(block, dict) and block.get('type') == 'text':
                                t = block['text']
                                if len(t) > 300:
                                    print(t[-2000:])
                                    print('---')
            except:
                pass
" 2>/dev/null | tail -200

Extract deep text results for products 7-10


======== AGENT a9f09414d4f7d801f ========
| KRITISKT FEL | Prestanda-sektionen har FEL matt (84x76x62 vs 87x96x56), FEL vikt (276 g vs 350 g), FEL noggrannhet (0,3 vs 0,4), FEL nivellering (4 vs 3 grader), FEL batterier (2x vs 4x AA) -- copy-paste fran SmartCross GX |
| 2 | FEL KATEGORI | Breadcrumb sager "Krysslaser" -- ska vara "Linjelaser" |
| 3 | FEL TYPNAMN | H1 + Schema.org sager "Multilinjelaser" -- ska vara "Linjelaser" |
| 4 | FABRICERAT | Spec-rad "Pendellasning for saker transport" |
| 5 | FEL SPEC | "Manuell lutningsfunktion = Ja" -- G360 har tilt-funktion, inte manuell lutning |
| 6 | FABRICERAT | Spec-rad "Visuella signaler" -- G360 har akustisk varning, inte visuell |
| 7 | FEL SIFFRA | FAQ "Vilken farg" anger rackvidd 40 m -- ska vara 30 m |
| 8 | UTBYGGD | FAQ "Batteritid" fabricerad forklaring om 4 batterier |
| 9 | FABRICERAT | FAQ "Vilken laserklass?" -- ny FAQ |
| 10 | KRITISKT FEL | Text-sektionen anger 276 g, 84x76x62, +/-4 grader, 40 m -- allt fran SmartCross GX |
| 11 | FEL NAMN | Rubrik "basmodell krysslaser" -- ar linjelaser, inte krysslaser |
| 12 | FEL NAMN | Rubrik "Vem ar SmartCross X till for" -- ska vara CompactLine G360 |
| 13 | FEL PRODUKT | Jamforelse mot XPG Pro sager "SmartCross X ar instegsversionen" |
| 14 | FEL PRODUKT | Jamforelse mot 3G Pro sager "SmartCross X ar enkel krysslaser" |
| 15 | FEL LANK | WTB-lank soker pa "SmartCross-Laser+X" istallet for G360 |
| 16 | FABRICERAT | Tillbehorslista overifierad |
| 17 | SCHEMA-FEL | Schema.org category ar "Krysslaser" istallet for "Linjelaser" |

### Allvarlighetsgrading

**CompactLine G360 ar i betydligt samre skick an SmartCross GX.** Sidan ar i praktiken en copy-paste fran SmartCross GX dar bara spec-tabellen och FAQ-sektionen (delvis) uppdaterats, medan prestanda-sektionen, text-sektionen, WTB-lanken, breadcrumb och rubriker fortfarande visar SmartCross GX:s data. En kund som laser prestanda-stycket far 5 felaktiga specifikationer. En kund som klickar "Kophos aterforsjare" landar pa en sokning efter helt fel produkt.
---

======== AGENT a4b228a1a38452b88 ========
1. **Feature-listor försvunna** — originalens bullet-point-features (15 st för X3, 8 st för SmartCross) finns inte som separat lista. Vissa har absorberats in i beskrivningen, andra saknas helt.
2. **Tillbehörslistor saknas helt** — 9 tillbehör (X3) respektive 13 tillbehör (SmartCross) som finns på originalet saknas.
3. **Extra specifikationsrader fabricerade** — "Mottagarläge", "Industriklassificering", "Källa", "Garanti" har promoverats från feature-text/metadata till specifikationstabellen.
4. **Beskrivningstexter är omskrivningar** — inte rena översättningar. Detaljer har lagts till eller omformulerats.

### Produktspecifika problem:

**X3-Laser Pro:**
- [FABRICERAT] FAQ om IP-klassning — fråga och svar helt påhittat
- [SAKNAS] Strömadapter-specifikationer (5V/1A, 5V/2A)

**SmartCross-Laser X:**
- [FABRICERAT] FAQ-svar med köprekommendationer ("välj PocketCross 2G") som inte finns på originalet
- [FABRICERAT] FAQ påstår "bland de längsta i sortimentet" — overifierbart jämförande påstående
- [FABRICERAT] FAQ definierar EcoLine som "produktlinje" — inte samma sak som originalet säger
- [FABRICERAT] Prestanda-texten kallar produkten "basversion" — finns inte på originalet
- [FABRICERAT] "Vad ingår" listar "Användarhandbok" — inte listad på originalet
- [FABRICERAT] "Vad ingår" specificerar "alkaliska, isatta" — originalet säger bara "batteries"
- [SAKNAS] "Pendulum restraint for safe transport" nämns ingenstans

### Allvarlighetsgradering:

**Hög risk:**
- FAQ-svaret som rekommenderar PocketCross 2G — detta är en säljstyrning som inte är tillverkarens
- "Basversion" i prestanda — potentiellt nedvärderande
- "Bland de längsta i sortimentet" — overifierbart påstående

**Medel risk:**
- IP-klassnings-FAQ (X3) — korrekt slutsats men fabricerad fråga+svar
- Användarhandbok tillagd i leveransinnehåll
- Feature-listor som försvunnit

**Låg risk:**
- Specifikationsrader som promoverats från feature-text
- Beskrivningar som omformulerats men fortfarande är tekniskt korrekta
---


Now I have the results for products 7-8 (a4b228a1a38452b88) and 9-10 (a9f09414d4f7d801f). Let me now also get the results for the spec-only agents for 7-8 and 9-10 to see if there were additional spec issues.

Wait, looking at the output more carefully:
- a9f09414d4f7d801f covered the deep text for products 9-10 (SmartCross GX Set + CompactLine G360)
- a4b228a1a38452b88 covered the deep text for products 7-8 (X3-Laser Pro + SmartCross-Laser X)

- Products 4-6 came back clean with 0 errors
- Products 1-3 are still running
- Products 7-8 have multiple fabricated FAQ entries and missing features/accessories
- Products 9-10 show critical issues with G360 having copy-pasted content from SmartCross GX, totaling 17 errors

But I'm only seeing G360 results from the 9-10 agent—I need to verify whether SmartCross GX Set was actually processed or if there's something I'm missing.


python3 -c "
import json

agent_id = 'a9f09414d4f7d801f'
path = f'/Users/Arash/.claude/projects/-Users-Arash/6ea5bd88-0acc-43e9-92d1-87d88332ca80/subagents/agent-{agent_id}.jsonl'
all_texts = []
with open(path) as f:
    for line in f:
        try:
            obj = json.loads(line)
            if obj.get('type') == 'assistant':
                msg = obj.get('message', {})
                content = msg.get('content', [])
                if isinstance(content, list):
                    for block in content:
                        if isinstance(block, dict) and block.get('type') == 'text':
                            t = block['text']
                            if len(t) > 300:
                                all_texts.append(t)
        except:
            pass

# Print all significant text blocks
for i, t in enumerate(all_texts):
    print(f'=== TEXT BLOCK {i+1} (len={len(t)}) ===')
    # Print first 500 and last 500 chars
    if len(t) > 1200:
        print(t[:600])
        print('...[TRUNCATED]...')
        print(t[-600:])
    else:
        print(t)
    print()
" 2>/dev/null

Get all text blocks for products 9-10 agent