Stage 7 of 9
Shipping & Iterating
Roll out gradually, instrument everything and turn user feedback into measurable improvements.
Level: Advanced About 3 weeks at 6 hours a week 6 articles
By the end of this stage you can
- Roll out AI features behind flags with staged exposure
- Design A/B tests and analytics events for AI features
- Close the loop from user feedback to prompt changes
Articles
- 7.1 Feature flags and staged rollouts for AI Ship AI features gradually with feature flags, covering staged exposure, kill switches, flagging prompts and models, and rollback plans that work in minutes. Level: Advanced 9 min Completed
- 7.2 A/B testing AI features Run A/B tests on AI features, from choosing metrics and sample sizes to novelty effects, cost as a metric, and reading results when output quality varies. Level: Advanced 10 min Completed
- 7.3 Product analytics events for AI features Instrument AI features with product analytics, with an event schema for requests, outcomes, edits and costs, and the questions it lets you answer. Level: Advanced 7 min Completed
- 7.4 Capturing feedback: thumbs, edits and retries Collect useful feedback on AI output, from explicit ratings to implicit signals in edits and retries, and turn both into improvements. Level: Advanced 9 min Completed
- 7.5 Tracing and observability for LLM calls Trace every LLM call in production, from what to record to linking traces with users and outcomes, reviewing traces, and monitoring cost and latency. Level: Advanced 9 min Completed
- 7.6 The iteration loop: from feedback to prompt changes Turn production feedback into measured improvements by finding failure patterns, changing prompts or design, verifying with evals and shipping safely. Level: Advanced 8 min Completed