I'm a Senior Google AI PM. Here's How I Build Loops (Finally, Loop Engineering Explained)

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Издатель Aug 1, 2026

If you want to master frontier AI engineering skills, become an AI-native builder, and learn directly from me (Shubham), you'll love Product Faculty's AI Builder Fellowship (discount code “SHUBHAM150” already applied): https://www.productfaculty.com/?code=SHUBHAM150

It's a yearly membership where you'll get access to 6 live cohorts taught by frontier AI practitioners. I'll personally teach Agentic Engineering, alongside leaders from OpenAI, Anthropic, Google, AI Build Labs, and more.
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Most people think loop engineering means putting an LLM inside a while loop.
It doesn't.
If you're manually checking AI outputs, rewriting prompts, remembering previous mistakes, deciding when to stop, and repeating the process...

You're already running a loop.
You're just doing it yourself.

In this video, Google AI leader Shubham Saboo breaks down loop engineering from first principles and shows you exactly how to build production-ready AI loops that can improve themselves, evaluate their own work, know when to escalate to humans, and stop automatically.

In this masterclass, you'll learn:
• The 9 components every reliable loop needs: goal, context, actions, tools, evals, memory, guardrails, escalation, and stopping conditions.

• How to build a self-improving Champion vs. Challenger loop that improves prompts using evals and holdout datasets.

• Why every production AI system needs separate improvement and holdout datasets—and how skipping them leads to misleading results.

• Four production-ready loop architectures: Empathy Simulation (customer research), Devil's Advocate (PRD reviews), UI/UX Improvement (browser-based product testing), and Follow-up Automation (claims, deadlines, and escalations).

• The five reasons AI loops fail in production: drift, weak evals, runaway costs, latency, and endless retries.

• The three stopping conditions every loop should have: target, budget, and stall.

Whether you're an AI engineer, product manager, founder, or simply building with LLMs, this video will change how you think about AI systems.

Because the future isn't better prompts.

It's better loops.

Enjoy!