True, I mean VLMs to manipulate the scene graphs effectively. In my input example on the left – it took a lot more prompting and iterating with Claude to construct and animate the scene I wanted in threejs. Still, faster than doing it by hand.
PROMPT ENGINEERING
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Expert users skip basic explanations
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7/ DON'T assume I'm a beginner
— God of Prompt (@godofprompt) 2 février 2026
"Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations."
When asking Claude about RAG systems, I don't need it to explain what embeddings are.
This unlocks the AI's full technical depth. pic.twitter.com/a6Vha11SOe7/ DON'T assume I'm a beginner "Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations." When asking Claude about RAG systems, I don't need it to explain what embeddings are. This unlocks the AI's full technical depth.
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Avoid options, demand best single idea
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4/ DON'T give me options Instead of: "Give me 5 ideas" Use: "Give me your single best idea. Don't give me options. Make the decision." Forcing the AI to commit instead of hedging = 10x better recommendations. No more analysis paralysis.
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8 Anti-Prompts to Improve AI Output
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The best prompt I ever wrote was telling the AI what NOT to do. After 2 years using ChatGPT, Claude, and Gemini professionally, I've learned: Constraints > Instructions Here are 8 "anti-prompts" that tripled my output quality:
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Practical Tips for Tuning AI Agent Behavior and Workflows
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some recommendations on making it tuned towards how you drive it: 1. use /init to create an agents md file
2. everytime codex does something wrong ask it to update its agents md to do/ not do X
3. use plan mode to plan and write the plan in a plans md file
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Using AI Responsibly: Balance Assistance with Personal Ownership
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You can take help from AI. Not fully outsource any task. So both scenarios are wrong.
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AI Prompt for Knowledge Extraction and Analysis
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The solution:
One prompt that: > Extracts atomic knowledge units (not summaries – actual knowledge)
> Builds a knowledge graph of people, projects, concepts
> Creates a decision log with rationale
> Saves your best prompts to a library
> Analyzes your AI collaboration patterns -
Convert ChatGPT/Claude chats into a searchable knowledge base
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I built a prompt that turns years of ChatGPT/Claude conversations into a searchable knowledge base for your @openclaw bot. Upload your ZIP exports → Get atomic notes, knowledge graph, decision log, prompt library, and pattern analysis. Steal it
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Contextual Indexing: Adding Document Context to Chunks Before Embedding
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Contextual Indexing is another good technique. Essentially, before embedding a chunk, prepend a short description of where it sits in the document…something like "This chunk is from Section 3 of a whitepaper on authentication methods." This helps because chunks often lose
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Claude Self-Improving Through Instruction Updates: AGI Implications
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This! Getting Claude to self improve by updating its own instructions is the alpha