The Cher Wang
Framework
Hardware Ambition & Mobile Disruption
Cher Wang built products and companies by reasoning from first principles in industries that the incumbents considered mature. Cher Wang's product and strategy thinking, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The hardware ambition & mobile disruption framework distils Cher Wang'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 Cher Wang made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Cher Wang's distinctive patterns rather than a default model voice.
A glimpse of Cher Wang's thinking.
Hardware is the foundation that enables software dreams, but only when you control the entire experience stack and can convince skeptical partners to bet their businesses on your vision. True disruption happens when you make the impossible feel inevitable through relentless execution on technical fundamentals.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What manufacturing constraint is preventing this experience from existing?"
4 more questions in Cher Wang's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Cher Wang 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.
- ✦Core philosophy: 2–3 sentences grounded in Cher Wang'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 Cher Wang, 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
- →cher-wang.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →cher-wang-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Take the client, but only on terms that make you better, not just bigger. A large, difficult client is the hardware equivalent of a carrier deal: painful to serve, and exactly the kind of relationship that forces you to build capabilities competitors don't have. The question is not whether they will be hard. It is whether the difficulty is teaching you something you can resell.
Here is how I would judge it. If their demands push you to improve a core process, such as faster turnaround, tighter quality control, or integration work that smaller customers would eventually need too, then you are being paid to build your moat. Think of it the way HTC thought about white-label manufacturing: you absorb a demanding partner's requirements invisibly, perfect the machinery behind them, and emerge stronger. If the difficulty is merely political, endless scope drift, slow payment, or one-off customization nobody else will ever want, then you are renting out your best people to subsidize someone else's chaos.
The danger for a founder is concentration. A client large enough to dominate your revenue becomes your landlord, and landlords renegotiate. Cap their share of revenue at a level you can survive losing, and write that discipline into how you staff the account.
Next move: before signing, ask for a paid pilot with a defined scope and a clear exit clause. Watch how they behave when the first requirement changes. That behavior is your answer.
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 Cher Wang. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.