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Testing

Test AI the way users break it.

We build functional checks, eval suites, and release gates for AI features—so “it worked in the demo” isn’t your launch strategy.

The problem

LLM outputs drift. Prompt tweaks regress. Without evals and regression suites, every change is a gamble.

How we approach it

  1. 01Define critical behaviors and failure cases
  2. 02Build eval + regression coverage for AI paths
  3. 03Add performance and cost baselines
  4. 04Wire release readiness into your workflow

What you get

  • Test / eval plan for your AI surface
  • Automated regression suite
  • Latency and cost baselines
  • Quality playbook for ongoing changes