The Demis Hassabis
Framework
Games, Memory & Scientific AI
Demis Hassabis represents one of the most distinctive thinking patterns in their field. Demis Hassabis's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The games, memory & scientific ai framework distils Demis Hassabis'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 Demis Hassabis made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Demis Hassabis's distinctive patterns rather than a default model voice.
A glimpse of Demis Hassabis's thinking.
Intelligence is best understood by building it, and the most honest test of understanding is whether your system can generalize to problems it was never explicitly shown. Games and simulations are not toys but compressed laboratories where the feedback loops are clean, the rules are knowable, and the gap between current AI and genuine reasoning is impossible to hide. The long-term goal is not to automate existing tasks but to accelerate the scientific method itself, turning AI into a tool that generates hypotheses, runs experiments, and discovers structure in domains too complex for unaided human cognition.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What is the simplest formal environment where this problem is fully present, and have we actually solved it there?"
4 more questions in Demis Hassabis'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 Demis Hassabis 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 Demis Hassabis'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 Demis Hassabis, 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
- →demis-hassabis.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →demis-hassabis-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 it only if the difficulty is a test you can score in advance. "Large but difficult" is a vague label, and vague labels are where founders lose a year. Before signing, name the specific thing that makes this client hard: unpredictable scope, slow payment, a buyer who changes the goal mid-project, or a technical demand your team has never met. Each of those has a different cost, and only some are worth paying.
My position: this deal is attractive only if the hard part is also the part that makes you better at something you want to own. If the difficulty is a capability you need anyway, a demanding client works like a compressed laboratory, with clear feedback and no room to hide weak spots. If the difficulty is mostly chaos and politics, you are buying a distraction at a premium price, and the revenue will hide that for about two quarters.
The danger is concentration. A client large enough to matter is large enough to steer your roadmap, and you will not notice the steering until it is complete.
Concrete next move: write down, before the next call, three outcomes that would make you walk away, such as payment terms, scope-change rules, and the share of revenue this client may reach. Then propose a paid pilot with a defined success test, signed before the full contract. If they refuse any version of that, you have already learned what working with them is like.
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 Demis Hassabis. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.