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Active docs/ was stub scaffolding while the real docs sat in docs/_archive/. Restore and correct them, and record the Phase 0 work. - docs/architecture/current.md: verified system map (from archived SYSTEM_OVERVIEW, 9 corrections against code). - docs/research/competitors.md: sourced competitor analysis (from archived PRODUCT_RESEARCH, feature matrix corrected). - docs/decisions/ADR-002-job-application-model.md: the Job/JobApplication split. - docs/application-discovery-report.md, docs/implementation-roadmap.md, docs/phase-0-foundation-report.md, docs/career-workspace-branch-assessment.md. - Remove 10 zero-byte placeholder files that advertised content that never existed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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AI Architecture
Purpose
Centralise AI functionality.
AI Service Layer
Applications should not directly call AI providers.
Instead:
Feature
↓
AI Service
↓
Provider
↓
Model
Providers
Support:
- OpenAI.
- Gemini.
- Claude.
- Groq.
- Ollama.
Requirements
Support:
- Switching providers.
- Usage tracking.
- Error handling.
- Cost control.
Rules
AI output requires validation.