The technique is absurdly simple but nobody's talking about it. After the AI generates its initial response, you immediately hit it with: "Now argue against everything you just said. Find the weakest points in your logic." That's it. No complex prompt engineering. No
@godofprompt
-
Analyzing the limitations of LLM reasoning and self-correction
By
–
Here's what actually happens when you ask ChatGPT a complex question.
The model generates an answer. Sounds confident. Ships it to you. Done. But here's the problem: that first answer is almost always incomplete. The model doesn't naturally challenge its own logic. It doesn't -
Google DeepMind Researchers Detail Role Reversal Prompting Technique
By
–
Google DeepMind researchers just exposed a prompting technique that destroys everything you thought you knew about AI reasoning. It's called "role reversal" and it boosts logical accuracy by 40%. Here's the technique they don't want you to know:
-
Comparative Test of AI Image Generation Prompts
By
–
I tried 10 viral AI image generation prompts in both Nano Banana Pro and ChatGPT Images to see which one is better. Here are the results: Nano Banana Pro ChatGPT Images 1. Selfie
-
OpenAI Updates ChatGPT Images with Intent-Based Editing Capabilities
By
–
OpenAI just dropped a Gemini Nano Banana 2 killer.
— God of Prompt (@godofprompt) 16 décembre 2025
The new ChatGPT Images can now edit photos the way a human designer would.
Here’s what actually changed.
1) It finally understands intent
You say “change this one thing” and it changes only that.
Faces stay the same.… pic.twitter.com/SUkS6udGPeOpenAI just dropped a Gemini Nano Banana 2 killer. The new ChatGPT Images can now edit photos the way a human designer would. Here’s what actually changed. 1) It finally understands intent You say “change this one thing” and it changes only that. Faces stay the same.
-
Recursive Prompting Techniques for Iterative Model Refinement
By
–
5. Recursive Prompting One prompt = one answer. Recursive prompts = systems that think in loops. The output becomes the next input. Each iteration refines the previous result. Template: Iteration 1: [Generate initial solution] Iteration 2: Review the solution from Iteration
-
Advanced Prompt Engineering: Using Constraints for Expert-Level Responses
By
–
4. Role-Based Prompting with Constraints "Act as an expert" is amateur hour. Engineers define expertise with measurable constraints. Template: You are a [role] with [specific expertise]. Constraints:
– Must include [requirement 1]
– Cannot exceed [limit]
– Optimize for -
Implementing Tree of Thoughts Reasoning for AI Models
By
–
3. Tree of Thoughts (ToT)
— God of Prompt (@godofprompt) 16 décembre 2025
Linear thinking gets linear results. ToT explores multiple reasoning paths simultaneously.
Instead of A→B→C, the model explores A→B→C, A→D→E, and A→F→G, then picks the best path.
Template:
Explore 3 different approaches to solve: [problem]… pic.twitter.com/oVbP6OECvk3. Tree of Thoughts (ToT) Linear thinking gets linear results. ToT explores multiple reasoning paths simultaneously. Instead of A→B→C, the model explores A→B→C, A→D→E, and A→F→G, then picks the best path. Template: Explore 3 different approaches to solve: [problem]
-
Understanding Chain-of-Verification Prompting for AI Models
By
–
2. Chain-of-Verification (CoVe)
— God of Prompt (@godofprompt) 16 décembre 2025
Standard prompts get one answer. CoVe prompts get self-corrected answers.
The model generates a response, creates verification questions, answers them, then produces a final corrected output.
Template:
1. Answer this: [question]
2. Generate 3… pic.twitter.com/j0jY4qr6Ye2. Chain-of-Verification (CoVe) Standard prompts get one answer. CoVe prompts get self-corrected answers. The model generates a response, creates verification questions, answers them, then produces a final corrected output. Template: 1. Answer this: [question]
2. Generate 3 -
Explaining Constitutional AI and Prompting Templates
By
–
1. Constitutional AI Prompting
— God of Prompt (@godofprompt) 16 décembre 2025
Most people tell AI what to do. Engineers tell it how to think.
Constitutional AI adds principles before instructions. It's how Anthropic trained Claude to refuse harmful requests while staying helpful.
Template:
<principles>
[Your guidelines]… pic.twitter.com/nbfUPe1J8g1. Constitutional AI Prompting Most people tell AI what to do. Engineers tell it how to think. Constitutional AI adds principles before instructions. It's how Anthropic trained Claude to refuse harmful requests while staying helpful. Template: [Your guidelines]