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👋 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

IN PARTNERSHIP WITH WISPR FLOW

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