Insights
Field notes from building real AI.
Practical thinking on strategy, engineering and governance, written by the people doing the work.
- Engineering
If you can’t measure it, don’t ship it: evaluating LLM systems
A practical framework for testing generative AI applications before and after launch: golden datasets, graded rubrics and the metrics that matter.
Read article - Strategy
Writing an AI roadmap that survives its first quarter
Why many AI strategies stall within months, and five principles for building a roadmap that keeps delivering value.
Read article - Governance
Proportionate AI governance: control without the bureaucracy
How to put meaningful oversight in place for AI systems without slowing every team to a crawl, using a risk-tiered approach that scales.
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