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AI Builder Roadmap (8 Weeks → 12 Months)

Goal: Explore for 8 weeks with objective evidence, then commit to one lane (LLM/RAG & AI Search or Recommenders or Vision) and scale it for 12 months.

Phase 0 — Week 1–2: Foundations

  • Two sklearn notebooks (classification + regression) with clean metrics.
  • Package skeleton, tests, lint, CI green.
  • Short public post.

Week 3–4 — LLM/RAG Taste Test (DocChat)

  • Ingest→chunk→embed→retrieve→answer with sources; FastAPI /ask + minimal UI.
  • Log p50/p95 latency, token counts; faithfulness checklist.
  • Goal: p95 ≤ 1.2 s; demo video; README diagram.

Week 5–6 — Recsys Taste Test (Mini-Recsys)

  • Baselines + MF + ANN; offline eval precision/recall/nDCG@k.
  • API with algo toggle; demo + README.
  • Goal: nDCG@10 beats popularity by ≥ 0.05.

Week 7 — Vision Wildcard (e-com)

  • Pick one: quality scoring / near-duplicates / color palette clustering.
  • CLI + API; throughput report; 30-sample QA sheet.

Week 8 — Decide & Commit

  • Score lanes; 1‑page memo + 90‑day roadmap; public announcement.

12-Month Track (after choice)

  • RAG/Search: hybrid retrieval, rerankers, eval suite → multi-tenant SaaS → personalization/A‑B → private connectors + 3 design‑partners.
  • Recsys: candidate gen + ranker → personalization/cold start → real‑time features/bandits → SaaS + case studies.
  • Vision (optional): high‑leverage e‑com tasks with clear ROI.

Cadence & KPIs: Weekly feature + demo + post. Monthly longform + metric win. Quarterly talk + OSS PR.