✓Google for Startups
Deploying Agentic Workflows at Scale
Strip the guardrails as the models earn it.
How to build the guardrails.
And you shouldn’t strip what you haven’t tested.
Recorded in Pomelli · opulize.com
AI should amplify them. Not replace them.
Set it and forget it.
If you don’t define success, the agent will.
And your users might disagree.
The hand-offs don’t go away. You just can’t see them anymore.
Expected


A normal app might throw an error. An agent improvises.
Not price per token. Price per successful task.




Product photo in. Photoshoot out.
Every extra degree of freedom is another place to wander.
Answer each one for your product, and you have the first spec for your guardrails.
Clever prompting can get you a demo.
Product-grade engineering is what gets you to launch.
An agent with no exit never tells you it’s stuck.
It just keeps going. And you keep paying for it.








Before you add a setting, ask if your context already knows the answer.
If it only lives in the prompt, it’s not a guardrail. It’s wishful thinking.
Does it do what you expect? And is it good?
✓Does the damage stay inside the blast radius?Skip it, and an agent invents a sale the business never offered.

You’ll be amazed, and probably a little horrified, by how creative people truly are.
Fix the root cause, and you also fix the failures you haven’t seen yet.
When the models get better, revisit your guardrails. Some of them have done their job.
Build the guardrails. Validate them.
Then strip them as the models earn it.