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StrategyMay 30, 20266 min read

Prompts Are Not the Moat

Prompt libraries feel like an asset. They're not. The durable edge is taste, context, and the systems you wrap around the model.

[PLACEHOLDER ARTICLE] — sample content demonstrating the article template. Replace with Vishu's real strategy piece.

Every few weeks someone sells a "5,000 prompts" bundle and it does numbers. I get why it's tempting. A prompt looks like an asset — reusable, tradeable, permanent.

It isn't. Prompts are the most copyable thing in this entire field. Screenshot one and it's gone. If your edge is a phrase you typed, your edge has no walls.

What actually compounds

Three things survive the next model release:

  • Taste — knowing which output is good, and why, before anyone tells you.
  • Context — the proprietary data, examples, and constraints only you can feed in.
  • Systems — the validated workflows, guardrails, and evals wrapped around the call.

A mediocre prompt with your context and your taste beats a "perfect" prompt with neither. The model is a commodity. The wrapper is the business.

Test it against a model upgrade

Here's the litmus test. When the next model drops, does your advantage get stronger or obsolete?

  • Prompt-hacks around old limitations → obsolete overnight.
  • Taste, context, and systems → strictly more valuable, because the raw capability underneath them just went up.

Build the things that get better when the model gets better.

So where should the effort go?

Stop polishing incantations. Spend the time on:

  1. Curating the examples and context only you have.
  2. Building evals so you can tell when something regressed.
  3. Wrapping the model in a system a competitor can't screenshot.

The moat was never the prompt. It's everything you build around it.

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