it's actualyl quite high also if you're working in parallel the speed is less of a thing e.g. ask it to do something and move one whil eit works
PROMPT ENGINEERING
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Three Steps to Double AI Session Output Quality
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How to start today: 1. Write a one-page IDENTITY file for your project (who, what, voice, constraints)
2. Keep a running DECISIONS log (what you chose, what you tried, why)
3. Load both at the start of every AI session Output quality doubles. The data is clear. -
Optimize thinking architecture before optimizing prompts
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The shift most people haven't made yet: Stop optimizing the prompt. Optimize the thinking architecture before the prompt. A prompt is a tool. A thinking system is reusable infrastructure. This is what "LLMs don't think, you do" means in practice.
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AI operators shift from writing prompts to building thinking systems
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For operators using AI daily, this changes the workflow: Before: write a great prompt, get a great output, lose the context. After: build a thinking system once, every prompt inherits it. The professionals who shifted first compound. Everyone else starts from zero every
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Prompt drift in parallel terminals fixed by hand-built markdown system
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Translation: prompt quality without persistent context produces drift. A solo operator running parallel Claude Code terminals put it best: "Each terminal has no idea what decisions I made in the other." Their workaround? A markdown file system they built by hand.
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Builders admit LLMs can’t think, manually write thinking architecture files
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Hundreds of builders just admitted LLMs don't think. Their fix: manually writing thinking architecture files (PROGRESS.md, DECISIONS.md, IDENTITY.md) for every project. Most AI advice still chases better prompts. The real work moved up a layer. Here's what changed and what it
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Self-reflection and prompts improve AI output quality
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Well yes, if you lie to yourself and to your AI, then the output will indeed be low quality. It’s a product of self-reflection. And relatedly, the prompt you give Claude if you want it to interview you to build it. If folks don’t want to write their own, I created prompts
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Open-source tool extracts website style into DESIGN.md for AI workflows
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Ahora puedes replicar el estilo de cualquier web en segundos
— Nico (@nicos_ai) 28 avril 2026
Esta herramienta extrae su diseño y lo convierte en un DESIGN(.)md con colores, tipografías y componentes bien definidos
Compatible con Codex, Claude Design, Google Stich, etc.
Open source y 100% gratuito.
Enlace… pic.twitter.com/SU6ZkSXuPRNow you can replicate the style of any website in seconds This tool extracts its design and converts it into a DESIGN.md with well-defined colors, fonts, and components Compatible with Codex, Claude Design, Google Stitch, etc. Open source and 100% free. Link below
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GPT Vision for Iris Reading: DIY Health Analysis at Home
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Try this at your own risk IRIS reading (Iridology) with GPT Image 2, yeah it’s very doable. Super accurate. No need to spend hundreds of dollars when you can get this done at home. full prompt below
