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
@godofprompt
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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.
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Google’s AI debates itself without training
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HOLY SHIT… Google just proved that reasoning models aren't thinking, they're arguing. > DeepSeek-R1 spontaneously generates internal multi-agent debates inside its own chain of thought. Nobody trained it to do this. Reinforcement learning for accuracy produced it
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AI Coding Benchmarks Measure Wrong Metrics
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BREAKING: Wisconsin and MIT just proved that every AI coding benchmark is measuring the wrong thing. > Pass rate stays high. The code becomes unmaintainable. They tested 11 models including Claude Opus 4.6 and GPT 5.4 on iterative tasks. Zero models solved a single problem
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AI Rewrites Its Own Research Algorithm
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Holy shit… Two independent researchers just built an AI that rewrites its own research algorithm mid-run. > Every autoresearch system ever built was improved by a human who read the code and rewrote it. Karpathy. AutoResearchClaw. EvoScientist. All of them. > They replaced
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3-Phase Analysis Method
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1/ Run the full prompt in ChatGPT, Claude, or Grok. 2/ Answer the 4 discovery questions in Phase 1. 3/ Type "continue" after each phase to go deeper. Works for startup strategy, organizational culture issues, market positioning, supply chain breakdowns, product-market fit, and team challenges.
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Claude’s Secret Leverage Point Deconstructor Mode
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BREAKING: Claude has a secret mode called "Donella Meadows Leverage Point Deconstructor." It maps any complex problem as interconnected feedback loops, finds the single point where a tiny change produces massive results, and rebuilds your entire strategy from the structure
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8 AI Tools for Clear Data Visualization
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8 Data Visualization AI Tools That Make Complex Information Actionable They turn complex data into clear insights • Select the right tool • Visualize your data • Enhance decision-making Click below to read more: https://
godofprompt.ai/blog/8-data-vi
sualization-ai-tools-that-make-complex-information-actionable
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