Production AI
How to set a task boundary, evaluate in context and give humans meaningful authority when a model is uncertain.
Insights
Field intelligence for AI that has to answer for itself.
Notes for leaders moving from transformation language to operating reality. Each piece names the decision, the trade-off and the evidence still required.
Reading map
The questions we return to.
A concise editorial surface for leaders and builders who need practical language for consequential systems—not generic commentary on AI.
Data and governance
How ownership, provenance, quality and access become part of a useful operational experience.
Product boundaries
How to decide what belongs in a platform, a product or a team operating model before complexity hardens.
Delivery confidence
How evidence, observability and recovery create a credible path from initial slice to dependable operation.
Editorial standard
Useful thinking should show its work.
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Decision first
Each note starts with a practical decision or trade-off, not a trend headline.
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Opinion is labelled
We separate field judgment from sourced evidence and make open questions visible.
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Bilingual by design
Published ideas are written for English and French readers without treating one as an afterthought.
Operating model · 7 min read
Production AI is an operating model.
Model quality matters. The surrounding ownership, evidence, review and recovery system determines whether the capability remains trustworthy after launch.
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Data governance · 6 min read
Governance needs an interface.
Policy becomes operational only when ownership, quality and access decisions appear inside the tools and moments where teams already act.
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Product architecture · 7 min read
The product boundary is a strategy decision.
Where a platform ends and a product begins determines ownership, speed and the cost of change long before it appears in an architecture diagram.
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