Product Execution: delivering while models move
For product managers and product owners in the engine room: tactics for sprints, prototypes, drift and roles in everyday life with AI features.
AI features age, training cycles break sprints, and responsibility seeps away between PM, data science and engineering. This pillar delivers the execution tactics for the whole lifecycle – from the spec through the MVP to drift monitoring.
The deep dives in this pillar
Each cluster answers one search intent – with a focus keyword and a clear content promise. Published, or transparently in progress.
Agile for AI: sprints that survive model training
Spikes instead of stories, eval in the definition of done – delivering and learning cleanly separated.
Read post Focus: Minimum viable product (MVP) for AIThe MVP for AI: test the wizard before you build the machine
Wizard of Oz and foundation models: validate AI hypotheses in days instead of quarters.
Read post Focus: Managing AI model driftModel drift: when your product quietly degrades
91 per cent of models degrade – eval sets, thresholds and rollback paths for life after launch.
Read post Focus: AI product team structurePM, data scientist, ML engineer: who does what?
Role boundaries that work – and the two launch questions every AI team must answer in writing.
Read post Focus: Spotify model product managementWhy the Spotify model fails – even more so with AI agents
Squads, tribes and the lessons of their failure – updated for teams whose most autonomous member is an AI.
Read post Focus: spec-driven development product managementDiscovery stays human, execution becomes the spec
The division of labour between PM and agent in brownfield – with evidence from METR, GitClear, DORA and Anthropic.
Read post Focus: Jira ticket AI product managementThe anatomy of a Jira ticket for AI product management
From a 100-word pointer to a context-complete prompt – the four phases, BMAD story files and context engineering.
Read post Focus: product management glossary Jira LinearA shared language: the PM glossary for Jira & Linear
Work units, planning, metrics – the vocabulary your lifecycle is steered with.
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