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Implementation plan (8 sprints, 2 weeks each)

1. Sprint 1 — Design & data collection: finalize signals, schemas, logging (3 devs, 2 data engineers).
2. Sprint 2 — Model prototyping: offline evaluation, baseline model (2 data scientists).
3. Sprint 3 — API & infra: service scaffold, Redis, DB schemas (2 backend).
4. Sprint 4 — Frontend components + feature flag (2 frontend).
5. Sprint 5 — Integration & telemetry (full stack).
6. Sprint 6 — Internal QA + load testing (QA + SRE).
7. Sprint 7 — Gradual rollout + A/B test start (product + analytics).
8. Sprint 8 — Monitoring, iterate on model, full rollout if results meet targets.

Challenges:

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• Use anonymized interaction IDs only; no PII stored.
• Telemetry events: rec_impression, rec_click, rec_follow (schema defined).