docs(session): record phase 4.1 context gathering completion
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# CURRENT AI WORKING SESSION — HANDOVER
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# CURRENT AI WORKING SESSION — HANDOVER
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**Active AI:** Claude Haiku 4.5
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**Active AI:** Claude Haiku 4.5
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**Last Updated:** 2026-04-22 (Session 33 - ImageAdjustmentModal Integration)
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**Last Updated:** 2026-04-22 (Session 34 - Phase 4.1 Context Gathering)
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**Current Version:** v1.14.6 (ImageAdjustmentModal integrated into AIOnboarding flow)
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**Current Version:** v1.14.6 (Phase 4.1 context captured for AI spare parts deep ID)
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**Branch:** dev (Phase 3 with user-controlled image adjustment post-save)
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**Branch:** dev (Phase 4.1 planning: AI prompt enhancement + internet search for spare parts)
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---
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## SESSION 34 SUMMARY — Phase 4.1 Context Gathering (AI Spare Parts Deep Identification)
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### Work Completed
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Conducted full discuss-phase workflow to capture design decisions for Phase 4.1. Gathered user requirements on AI prompt strategy, search API selection, search trigger/confirmation flow, and data extraction/item mapping.
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### Decisions Captured
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**D-01 (AI Prompt Strategy):**
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- Infer spare-part classification from extracted category (no explicit field needed)
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- Detailed categorization logic in prompt: "Components that plug into or connect to another device (not just cables) = spare part"
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- Examples: RAM, SSD, NVME, PCIe cards, disk, CPUs, power supplies, etc.
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- Consumables: cords, connectors, adhesives, fasteners
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**D-02 (Search API Selection):**
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- Use web scraping: Python `requests` + `BeautifulSoup` (no API key required)
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- Zero cost, suitable for low volume (tens/hour max)
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- Implement rate limiting with delays + User-Agent rotation to avoid IP blocking
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**D-03 (Search Trigger & UX):**
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- Automatic background search: After AI extraction, if category matches spare-parts whitelist AND Part Number exists
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- Block onboarding UI until search completes (user reviews all fields)
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- On failure: Show error with [Retry] and [Skip] buttons
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**D-04 (Data Extraction & Item Mapping):**
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- Extract: product type, specs, manufacturer/model, description/details
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- Store detailed specs in Notes field (keep Item Type searchable)
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- Pre-populate refined Category/Type from search; user can edit before save
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### Artifacts Created
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- `.planning/phases/4.1-ai-spare-parts-deep-id/4.1-CONTEXT.md` — Decisions + canonical refs + code context
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- `.planning/phases/4.1-ai-spare-parts-deep-id/4.1-DISCUSSION-LOG.md` — Full Q&A audit trail
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- **Git commit:** `b90085cc` docs(4.1): capture phase context and discussion log
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### Next Steps
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1. Run `/gsd-plan-phase 4.1` to create executable task plans
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2. Research AI prompt refinement + web scraping implementation
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3. Plan tasks for backend + frontend integration
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4. Execute Phase 4.1
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---
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## SESSION 33 SUMMARY — ImageAdjustmentModal Integration
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---
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