Resources

Field notes on trustworthy agents.

Practical, sourced writing on putting AI agents into production in regulated operations — context, grounding, oversight, and audit. No hype, no listicles.

AllContextTrustGovernanceInsuranceEngineering

CONTEXT · 7 MIN READ · [DATE]

Why your agents keep guessing: the <1% problem.

Most enterprise knowledge never reaches the model. What a context layer actually has to do about it.

Read the article

TRUST

Grounding isn't a feature. It's the whole job.

Turning “the black box” into something you can read back to its source.

5 min · [soon]

GOVERNANCE

Human-in-the-loop, designed — not sprinkled on.

Where checkpoints belong, and how to prove they held.

6 min · [soon]

REGULATION

What US examiners expect from your AI agent.

SR 11-7, the NAIC AI Model Bulletin, and the NIST AI RMF — in plain operational terms.

8 min · [soon]

One sample article is written in full. Remaining titles are planned — published as drafted. [PLACEHOLDER: article bodies & dates]

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