Aki Wijesundara, PhD
Manu Jayawardana
Free Lesson

Sandboxed Agentic Evaluations

30 min
Oct 1, 2026 2:30 PM

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What you'll learn

Design a sandboxed environment for testing agentic systems

choose the right isolation level (containers, VMs, or mocked tools) based on the task and risk.

Build an Eval Harness That Scores Agent Behavior

Capture tool calls, state changes, and reasoning traces; grade on task success, safety, and efficiency.

Run Repeatable Evals on Non-Deterministic Agents

Reset state between runs so results are comparable and failures are reproducible.

Why this topic matters

Agents don't just generate text, they take actions: running code, calling APIs, editing files. Testing them in production risks real damage, and non-deterministic behavior makes results hard to trust or reproduce. As agentic systems move into production, engineers need a safe, repeatable way to evaluate what agents actually do, not just what they output. Sandboxed evals are how you build that confidence before shipping.

You'll learn from

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Advisor | Educator | Google AI Accelerator Alum

Google
Meta
OpenAI
Amazon Web Services
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Founder | CEO at TAI Labs | Co-Founder of Snapdrum

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