👋 Hey friends, Happy Monday!

A few months ago, I caught myself arguing with ChatGPT.

It wasn’t about prompts or productivity.

It was about a decision that felt heavier than it should have.

I had a product that was working — growing steadily — but not compounding. I couldn’t tell if I was being strategic or just stubborn.

So I opened ChatGPT, not for advice, but for a sparring session.

“Here’s what I’m thinking,” I wrote.
“Tell me why this might be a terrible idea.”

The model didn’t give me clarity. It gave me contrast.
It reflected back every hidden assumption I hadn’t realized I was carrying.

And that’s when it hit me:
AI doesn’t just automate work.
It mirrors cognition.

It’s not a tool for thinking faster — it’s a system for seeing how you think.

And once you can see your thinking, you can scale it.

That’s what today’s piece is about:

How to build The Reflection Loop — a cognitive system that compounds judgment, not just output. Because you can’t scale a product faster than you can scale the decisions behind it.

Here’s what we’ll unpack together:

• Why Speed Broke Strategy: How AI made us faster but not necessarily wiser.
  

• The Bottleneck of Judgment: Why you can’t scale cognition like you scale code.
  

• The Reflection Loop: A system for compounding clarity across every decision.
  

• The Playbook: Ten ways to embed reflection into your company’s nervous system.

This isn’t about building faster — it’s about thinking deeper. Because clarity compounds faster than code.

Let’s dive in.

— Naseema Perveen

IN PARTNERSHIP WITH ORB.

AI Agent Pricing Broke SaaS

AI agents don’t fit traditional SaaS pricing. 92.4% of companies now use hybrid models—blending subscriptions, usage fees, and outcome-based charges to match how autonomous agents actually create value.

Orb analyzed 66 AI agent products to map what’s working. The report covers emerging models, margin protection strategies, and why billing infrastructure matters more than most teams realize.

Get the full report