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Agent Reliability Review

Make your AI agents production-grade.

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The problem we solve

Your agents do impressive things in demos and dangerous things in production.

Symptoms we see

  • Untraceable failures across tool calls
  • Infinite loops and runaway costs
  • Inconsistent recovery from tool errors
  • No way to replay or compare runs

Risks if ignored

  • Runaway spend
  • Wrong-action incidents
  • Security exposure via tools
  • Eroded user trust

Our process

  • Trace and classify recent agent failures
  • Define SLOs, retries, and fallback policies
  • Build trajectory-level evals and replay harness
  • Hardening plan for tools and prompts

What you get

  • Failure taxonomy and Pareto
  • Trajectory eval suite
  • Reliability SLOs and runbooks
  • Tool-call security review

Ready to scope this engagement?

Tell us about your system, timelines, and constraints. We'll respond within one business day.

Request a scoping call