Intent
Goals, constraints, and acceptance evidence remain visible as work moves into delivery.
AI Platform
Engineering intent that survives execution
This area brings together demming.dev writing about legible intent, governed execution, interoperable vocabulary, platform product ownership, and operational learning. These are editorial lenses for the site, not claims of industry-standard definitions.
Foundation map
Execution
Authority, verification, rollout, and rollback make execution reviewable and governable.
Vocabulary
Product, engineering, and governance decisions need terms that remain interoperable.
Product
The platform has users, outcomes, owners, adoption paths, and a maintained service contract.
Learning
Bounded experiments produce evidence and explicit decisions about what progresses.
Published paths
Available series
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Spec-Driven Development
Make intent legible by carrying goals, constraints, and acceptance evidence into engineering work.
1 article
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AI Platform Architecture
Make execution governable through explicit platform boundaries, authority, verification, rollout, and operational controls.
1 article
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Agentic Engineering Taxonomy
Make vocabulary interoperable across product, engineering, and governance decisions about agents, workflows, and authority.
1 article
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AI Platform as Product
Treat the platform as a product with users, outcomes, ownership, adoption paths, and a maintained service contract.
1 article
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AI Product Experimentation
Make learning operational through bounded experiments, evidence, feedback loops, and explicit progression decisions.
1 article
Related reading
Continue through the existing corpus
The curated AI maturity package remains an eight-post subtrack. The blog and category index retain the wider platform archive, and this page exposes each series as soon as it has a published entry.