Write Acceptance Criteria as AI Evals

Part of The AI Evaluation Handbook

Hosted by Aki Wijesundara and Manu Jayawardana

Mon, Jul 6, 2026

3:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI Engineering Bootcamp & Certificate
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

Bridge acceptance criteria and AI tests

See how the criteria you already write become the checks an AI feature has to pass.

Turn one feature's criteria into checks

Take a real feature and convert its definition of done into a live test you can run.

Define done for an AI feature

A clear bar for shipping, so an AI feature is not called ready on a hunch.

Why this topic matters

You write acceptance criteria for normal features, then your AI feature ships with no real definition of done. In this free 30 minute session you see how to turn the acceptance criteria you already write into actual tests an AI feature must pass. We take a real feature, write its criteria the way you always do, and turn them into checks live so you watch the feature get graded against them. You leave able to write acceptance criteria that double as the test of whether your AI feature is ready.

You'll learn from

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

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