The Product Factory
Jason Dijols · Product Management · AI-First WorkflowsAn AI-first product development lifecycle — six stages orbiting one shared intelligence core, compounding with every cycle.
Humans set intent and own the gates; agents run everything between them.
90%
of developers use AI in daily work (DORA, 2025)
+8%
median org-level throughput gain from tools alone (DX, 2026)
80%
first-pass CI: the bar agents must clear before human review
Days
idea → production inside the loop
The Loop · Six Stages Around One Intelligence Core
click any stage to expand · Esc to closeAGENT-RUN
Discover
1AI · agents mine user behavior, market & competitor signals into ranked opportunities
TIME-TO-INSIGHTHUMAN · GATE
Validate
2AI · instant prototypes + synthetic-cohort screens kill obviously-bad bets in days — survivors earn real-user tests
% ROADMAP VALIDATEDHUMAN · INTENT
Define
3AI · PM writes intent; spec-driven development decomposes it into scoped, testable spec slices
SPEC CYCLE TIMEAGENT-RUN
Build
4AI · agents code in parallel; test failures loop back & self-heal automatically
COST PER FEATUREHUMAN · GATE
Ship
5AI · calibrated eval suites gate every release; humans calibrate the judges & own the call — audit-ready by default
RELEASE FREQUENCYHUMAN · GATE
Learn
6AI · live adoption & churn signals stream back; drift triggers investigation
RETENTION · LTVThe PM, Transformed
Writes ticketsAuthors intent — the one human input
Manages handoffsOwns the gates: validate · ship · learn
Ships featuresShips validated learning
Where I Plug In
TRANSLATEYour strategy → factory PRDs; factory data → your decisions
INSTRUMENTTie every release to the metrics the business runs on
COMPOUNDOwn the feedback loop so each cycle beats the last