From experiment to evidence
Projects show what was built, how it was tested and where the evidence still stops.
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Practical AI agents, AI tools, and AI workflows for real work.
See how AI fits into real workflows—from research and analysis to decisions and automation—and turn it into work that can be tested, improved, and delivered.
Review the workProjects show what was built, how it was tested and where the evidence still stops.
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Start with completed Projects, then follow the Articles and Tool previews connected to the decisions behind them.
Content registryContinuously updated
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Weekly AI intelligence connects model, agent, infrastructure and policy changes to product and operating decisions.
GitHub agent permissions, SageMaker prefix-aware routing, and CUDA 13.4 show production AI control moving into runtime policy, cache locality, and GPU isolation.
A compact view of the themes that appeared across the latest intelligence editions.
Lessons from using OpenAI dot for research, content and website work, with a reusable task brief, decision handoff and guidance for reviewing deliverables.
Public AI projects worth tracking.