docs(session): record phase 4.1 context gathering completion

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