Tech Visionary

The Aaron Levie Framework

Enterprise Distribution & Big Bets

IncludedNative Claude Skill + plain .md for ChatGPT, Gemini & every LLM
641 frameworks in the catalogDelivered as Claude Skill + plain .mdReviewed Apr 22, 2026Instruction-only · verifiable

Aaron Levie built products and companies by reasoning from first principles in industries that the incumbents considered mature. Aaron Levie's product and strategy thinking, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.

The enterprise distribution & big bets framework distils Aaron Levie's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.

Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Aaron Levie made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Aaron Levie's distinctive patterns rather than a default model voice.

Inside the framework

A glimpse of Aaron Levie's thinking.

Core Philosophy

The biggest enterprise opportunities hide behind the question "why now?" — new technology capabilities create brief windows where incumbents can't respond fast enough. Win by being the infrastructure that other companies build on top of, not just another tool they use.

Five Mental Models
  1. 01
  2. 02
  3. 03
  4. 04
  5. 05

Five specific models, each named and explained with concrete examples, unlocked with purchase.

A Signature Question · sample

"What just became possible that wasn't possible five years ago?"

4 more questions in Aaron Levie's voice are unlocked with purchase.

What Aaron Levie Would NOT Do · sample
✗Compete on features in mature categories where switching costs are low

Full list of anti-patterns unlocked with purchase.

Continue reading

The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Aaron Levie actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.

Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.

What's inside
  • ✦Core philosophy: 2–3 sentences grounded in Aaron Levie's documented worldview
  • ✦Five signature mental models: each named, with concrete examples from their work
  • ✦Decision heuristics: the concrete rules they actually used
  • ✦Signature questions: five questions that sound like Aaron Levie, not a generic MBA
  • ✦What they would NOT do: the anti-patterns this framework rejects
  • ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
  • ✦Worked example: the framework applied to a realistic scenario
Delivered in two formats
  • →aaron-levie.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to ~/.claude/skills/
  • →aaron-levie-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
Sample output

What it does with a real question.

The brief

A founder is deciding whether to take a large but difficult client.

Take the client, but only on terms that turn their difficulty into your infrastructure.

The mistake founders make with a large, painful customer is treating it as a revenue decision. It's a distribution decision. A big client that demands customization, slow procurement, and weird integrations is also handing you a free education in how the whole segment actually works, and, if you structure it right, a reference that opens ten similar doors. The question isn't "can we survive the pain?" It's "does the pain get productized or does it stay custom?"

Here is where the Trojan Horse idea earns its keep. Get inside with the narrowest workflow they'll pay for, then expand once you own it. Resist the urge to say yes to every bespoke request to close the deal. Every one-off you build for them is a liability. Every capability you build as a general API or configuration layer is an asset that makes you harder to remove from their stack and easier to sell to the next one.

So the test is simple. If at least two-thirds of what they're asking for would be useful to your next five customers, this is a platform-building engagement and you should lean in. If most of it is unique to them, you're becoming a consulting shop with one whale on the cap table, and the concentration risk will eventually dictate your roadmap.

Next move: before signing, sort their requirements list into "reusable" and "custom," and price the custom work at full cost, separately, with a defined cap.

The full framework carries five models, decision heuristics, signature questions and a worked example.

Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.

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Works as a Claude Skill (.zip) and as a plain .md for ChatGPT, Gemini & every LLM
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Inspired by the documented thinking of Aaron Levie. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.

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