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Notes from the production side.

Short pieces on what breaks between a demo and production. Written by the people who fixed it, mostly after fixing it. No listicles.

2 min read

The demo was never the hard part

Pilots don't fail on model quality. They fail on the twelve systems between the demo and a finished piece of work — and on the exception queue nobody scoped.

  • production-ai
  • integration
  • enterprise
AtomsAI editorial
2 min read

Write the evals before the prompt

An eval suite isn't QA you add at the end. It's the specification — and the only thing that lets a CXO answer 'is it working?' with a number instead of an opinion.

  • evals
  • reliability
  • governance
AtomsAI editorial
2 min read

How much autonomy should an agent have?

The right answer is a configuration value, not a philosophy. Design the approval gates before the tools, start tight, and let the pass rate buy each loosening.

  • agents
  • governance
  • risk
AtomsAI editorial

The posts argue it. The studies price it.

The same workflows from the other end: what the baseline was, what we built, and what moved once it was live.

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