hey everyone, sharing something i think will be genuinely useful for anyone building with AI agents.
most agent failures aren't caused by the model — they're caused by poor evaluation. agents that work in demos but fail in production, tool calling workflows that silently break, prompt updates that introduce regressions. teams discover these problems only after deployment when it's already too late.
we're hosting the Agent Evals Bootcamp on June 27 with Ammar Mohanna, PhD, an AI engineer, researcher and expert in production AI and agent evaluation.
5 hours live, hands on throughout. you work through real evaluation scenarios across 4 layers — component evaluation, trajectory evaluation, outcome evaluation and adversarial evaluation.
what every attendee gets:
- practical evaluation framework you can apply immediately
- 6 months access to an AI Evals assistant
- hands on exercises and implementation templates
- capstone project completed on the day
- Packt endorsed certification for your LinkedIn
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