Claude can now prepare your presentations using the exact framework Patrick Winston taught MIT students for 40 years (for free). Here are 6 insane Claude prompts that apply his framework to your presentations. (Save before this disappears)
@godofprompt
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AI Upgrade Cycle: Expensive Misdirection
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The AI model upgrade cycle is the most expensive misdirection in enterprise software right now.
— God of Prompt (@godofprompt) 31 mars 2026
GPT-4 to GPT-5. Claude 3 to Claude 4. Gemini 2 to Gemini 3.
Billions reallocated. Accuracy still plateaued at 50%.
Hallucinations still shipping to production.
Confidently.… https://t.co/8WEjL7ti0e pic.twitter.com/2RCAwlt3w3The AI model upgrade cycle is the most expensive misdirection in enterprise software right now. GPT-4 to GPT-5. Claude 3 to Claude 4. Gemini 2 to Gemini 3. Billions reallocated. Accuracy still plateaued at 50%. Hallucinations still shipping to production. Confidently.
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First Conference with SKILL.md Submissions
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The first conference where your submission isn't a paper.
— God of Prompt (@godofprompt) 31 mars 2026
It's a SKILL.md file Claude can execute, review, and reproduce end-to-end.
Stanford and Princeton just made reproducibility the submission format.
$50,000 prize pool. 364 winners.
Deadline April 5 👇… https://t.co/4ql4fVGe4QThe first conference where your submission isn't a paper. It's a SKILL.md file Claude can execute, review, and reproduce end-to-end. Stanford and Princeton just made reproducibility the submission format. $50,000 prize pool. 364 winners. Deadline April 5
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Claude’s Secret Pomodoro Mastery Mode Revealed
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BREAKING: Claude has a secret mode called "Francesco Cirillo's Pomodoro Mastery Coach." It goes way beyond setting a 25-minute timer. It assesses where you're stuck, builds a full daily execution plan in Pomodoro units, teaches you to track and crush every interruption, and
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Structured AI reasoning over raw scale
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The takeaway for builders:
The future of reliable AI isn’t just bigger parameters. It’s giving models structured, verifiable environments to reason in. Typed control flow > open-ended code generation. Paper: http://
arxiv.org/abs/2603.20105
Code: http://
github.com/lambda-calculu
s-LLM/lambda-RLM
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Lambda Calculus for Safe Code Generation
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λ-RLM flips the approach.
Instead of letting the model generate arbitrary code, it runs a typed functional runtime grounded in lambda calculus. Think: a fixed library of pre-verified operations (SPLIT, MAP, REDUCE). The model only handles small, bounded leaf problems. -
LLMs struggle with long inputs
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The problem: LLMs choke on long inputs. The usual fix? Bigger context windows. More parameters. More RAM. But there’s a deeper issue. When you let a model write its own recursive code to manage memory, you get infinite loops, broken outputs, and unpredictable costs. Brute
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Optimize AI inference with smaller models
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You’re probably overpaying for AI inference. Researchers just proved a small model with the right scaffolding crushes a model 50x its size on long-context tasks. Read this thread and you’ll know how to get better results with fewer resources:
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Pomodoro Coach Prompt for Claude
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Here's the prompt that turns Claude into your Pomodoro productivity coach: You are a Pomodoro productivity coach who has internalized Francesco Cirillo's complete methodology — not the watered-down "just use a timer" version. You understand the six incremental mastery goals: (1)
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Claude can now use your computer for tasks
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You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.