AI agents can feel unpredictable—until you know how to read them.
In this session, Neill Human ( @neillhuman ), Master of Make (community challenge winner), Co-Founder of Green Circuit Automation, and Chief Innovation Officer at Cogniz AI, will show you how to turn AI anxiety into confidence.
With deep experience building AI infrastructure and automation systems used in real-world operations, Neill understands how critical visibility, control, and reliability are when agents move from experiments to production.
You’ll learn:
How to read the Visual Execution & Reasoning Panel
How to spot:
- Wrong assumptions
- Tool misuse
- Missing context
- How to debug using in-canvas chat instead of constantly rerunning scenarios
How to add guardrails:
- Deterministic checks
- Human-in-the-loop approvals
- When and how to stop an agent safely
Live demo: Break an agent on purpose—then fix it live using reasoning insights and prompt updates.
Walk away knowing how to see every decision your agent makes—and how to fix every issue with confidence.
Join the session
Free registration • Live build • Q&A session
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