Hey friends, Happy Monday!
If you’ve been experimenting with AI, you’ve probably had this moment:
You paste something into ChatGPT or Claude.
It gives you a surprisingly good result.
You think, “We could build a product around this.”
And you’re right.
But here’s the part nobody tells you:
The jump from “impressive output” to “reliable product” is where 90% of teams stall.
This edition is a deeply practical guide to building your first AI product the right way. Not a weekend demo. Not a feature bolted onto your roadmap. A system you can trust in production.

We’ll cover:
How to identify AI-shaped problems
How to prototype without overengineering
Why chat is usually the wrong starting UX
How to design workflows that improve reliability
Why evals are your new unit tests
How to build a continuous improvement loop
And how to avoid creating a data governance nightmare
Let’s explore.
— Naseema Perveen
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How to scale with AI without losing humanity
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