From experiment to evidence
Projects show what was built, how it was tested and where the evidence still stops.
- Build
- Validate
- Reuse
Turn business problems into AI systems that work
If you are evaluating how AI can become part of real operations, see how each project moves from problem definition to implementation and validation—with its decisions, evidence, limits and reusable methods open for review.
Review the workFind a starting point
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Which AI problem are you exploring?
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Evidence you can inspect
Start with completed Projects, then follow the Articles and Tool previews connected to the decisions behind them.
Articles109
Content registryContinuously updated
Projects7
Public outcomesReviewable page by page
Audience reach, tracked monthly
What changed, and why it matters
Weekly AI intelligence connects model, agent, infrastructure and policy changes to product and operating decisions.
Latest edition · July 27, 2026Model cost, access boundaries and deployment choices
English edition in review Three signals: how model pricing changes product choices, how access becomes an adoption barrier, and how open weights alter deployment.
Signals that keep recurring
A compact view of the themes that appeared across the latest intelligence editions.
Model capabilityAppears in both
Agent workflowsFirst-edition focus
Cost and deploymentLatest-edition focus
Safety and policyFirst-edition focus
How to Back Up and Restore Codex Work When Moving Computers
Separate projects, configuration, conversation context, and credentials; then verify file integrity and a real work path in an isolated migration exercise.
Open-source watch
Public AI projects worth tracking.
01microsoft/markitdownConvert common documents into model-ready Markdown 150K+02browser-use/browser-useLet AI agents understand and operate browsers 106K03langchain-ai/langgraphBuild controllable, persistent agent workflows 38.4K04openai/openai-agents-pythonCreate multi-agent applications from lightweight components 27.1K
Latest AI intelligenceReview the changes worth tracking.Browse articles by questionStart with intelligence, a method, a tool choice, or a case.Choose a tool by the workCompare a tool against the outcome it should support.Follow the beginner courseUse the 30-lesson path when you want a guided sequence.Public outcomesInspect completed AI implementation work.