👋 Hey friends, Happy Monday!!
Let’s start with something that sounds counterintuitive:
AI has made building easier than ever.
Which means it has made winning harder than ever.
In 2026, you can:
Launch a prototype in a weekend
Fine-tune a model in a few hours
Spin up an agent workflow without hiring an ML team
Generate ten feature ideas before lunch
Speed is no longer rare.
Execution is no longer scarce.
AI has flattened the technical playing field.
So if everyone can build faster, why are so few AI startups becoming enduring companies?
Because the bottleneck isn’t capability anymore.
It’s placement.
The next generation of breakout companies won’t start as “AI platforms.” They won’t begin with grand visions of owning entire categories.
They will begin as wedges.
Small. Focused. Embedded.

This edition is for founders who:
Have 3–5 AI ideas in their notes app
Feel tempted to build a “horizontal AI platform”
Are overwhelmed by how fast competitors are shipping
Or are building something useful — but not yet defensible
If that’s you, this framework will clarify what to build next — and what to ignore.
Today, we’re breaking down:
Why AI has commoditized building
Why feature expansion is now a trap
What a workflow wedge actually is
How startups turn one solved workflow into a platform
Real-world case studies
A practical worksheet to identify your wedge
What the data says about focus vs feature sprawl
If you’re building in AI right now, this framework could save you years.
— Naseema Perveen
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