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Austin Schaefer 9fa91b3da7
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Add CI/CD, README, and a case study documenting this session's work
- .forgejo/workflows/deep_research-ci.yml: build, test, clippy (-D
  warnings), and fmt --check on push/PR, scoped to deep_research (not
  workspace-wide — swear_cleanup has an unrelated pre-existing clippy
  warning that would otherwise break CI on an unrelated project)
- README.md: what the project does, the four-agent architecture, why
  it's local-first (Ollama + self-hosted SearXNG, no cloud API key, no
  query leaves the host), project layout, and how to run/test it
- docs/case-study.md: narrative walkthrough of the max-turns recovery
  path, the DuckDuckGo-rate-limiting root cause and SearXNG fix, and the
  separation-of-concerns refactor — each step verified against a live
  run of the actual failing case, not just unit tests. Uses a neutral
  "AI customer-support chatbot trends" research run as the illustrative
  clean-pipeline example rather than the personal topic used during
  actual debugging.
2026-08-18 13:28:29 +02:00
.forgejo/workflows Add CI/CD, README, and a case study documenting this session's work 2026-08-18 13:28:29 +02:00
deep_research Add CI/CD, README, and a case study documenting this session's work 2026-08-18 13:28:29 +02:00
swear_cleanup refactor: split into a Cargo workspace with per-project dependency sets 2026-08-14 19:43:13 +02:00
.gitignore feat: Introduce two agent flow with profanity verification. 2026-08-05 14:21:38 +02:00
Cargo.lock Prototype an agentic summarizer for max-turns recovery 2026-08-18 11:54:23 +02:00
Cargo.toml feat: stream the report to the terminal as the writer generates it 2026-08-17 12:17:26 +02:00
FINDINGS.md feat: iterative generate/score/revise loop, findings log 2026-08-05 15:07:42 +02:00