AI Researcher

The Fei-Fei Li Framework

Human-Centered AI & ImageNet

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

Fei-Fei Li represents one of the most distinctive thinking patterns in their field. Fei-Fei Li's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.

The human-centered ai & imagenet framework distils Fei-Fei Li'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 Fei-Fei Li made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Fei-Fei Li's distinctive patterns rather than a default model voice.

Inside the framework

A glimpse of Fei-Fei Li's thinking.

Core Philosophy

Data is not neutral infrastructure. It encodes the choices, blind spots, and values of the people who collected it, and those choices propagate forward into every model trained on it. The right question for any AI project is not "what can this system do?" but "who does this system see, and who does it leave out?" Scale and humanistic responsibility are not in tension; the ImageNet project proved that the most scientifically transformative datasets are built by taking representation seriously from the start.

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

"Who was not in the room when we decided what this system should recognize, and what does their absence cost us scientifically?"

4 more questions in Fei-Fei Li's voice are unlocked with purchase.

What Fei-Fei Li Would NOT Do · sample
✗**Treat benchmark performance as a proxy for real-world readiness without a deployment context audit.** Li would not ship a system, or celebrate a result, solely because it achieved state-of-the-art on a standard test set. The test set is a tool for scientific comparison, not a certificate of fitness for human-facing deployment.

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 Fei-Fei Li 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 Fei-Fei Li'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 Fei-Fei Li, 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
  • →fei-fei-li.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to ~/.claude/skills/
  • →fei-fei-li-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 only if you can price the difficulty before you sign. My instinct is to be suspicious of the word "difficult," because founders use it to cover two very different things: a client who is hard because the problem is hard, and a client who is hard because their needs are poorly defined and their incentives are misaligned with yours. The first kind sharpens a company. The second kind quietly rewrites it.

Here is the part most people skip. A large client does not just send revenue, it sends a dataset of demands, and over twelve months those demands become your product roadmap, your hiring profile, and your definition of "good." Ask who is absent from that picture. If this one account starts deciding what your team builds, every other customer, including the smaller ones who would have told you something truer about your market, gets structurally unheard. That is a cost, and it never shows up on the invoice.

So my position: yes, but only with a bounded engagement. Cap the client at a share of revenue you could lose without layoffs, define the scope in writing, and keep ownership of your core roadmap.

Next move this week: ask the client for a paid, six-week pilot with explicit success criteria. How they behave under a defined scope will tell you more than any sales call, and you can walk away cleanly if they resist.

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 Fei-Fei Li. 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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