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Learn to define and scope recommendation systems through a hands-on tutorial that challenges traditional product requirement documents and introduces a modern 5-pillar framework for AI product specifications. Discover why lengthy PRDs and build-first approaches fail in AI development, and explore the problems with vague specifications that lead to non-actionable decisions. Master the modern AI specification framework through deep dives into behavior contracts that define success with concrete examples, and understand the evaluation ladder from offline testing to kill switches. Follow along with a live demonstration that rewrites a broken smart reply PRD using the 5-pillar template, covering opportunity framing with baselines, hypotheses, and impact measurement targets. Examine practical behavior contract implementation including proxy metrics, guardrails, and criteria for distinguishing good versus bad replies. Explore V-plan development, boundary setting, and risk management including V0 MVP considerations, latency tradeoffs, and kill switch implementation. Understand how specifications serve as leadership tools for team alignment, navigating organizational politics, and skill development in AI product management.
