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
@godofprompt
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Advanced Prompt Engineering: Using Constraints for Expert-Level Responses
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Implementing Tree of Thoughts Reasoning for AI Models
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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]
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Understanding Chain-of-Verification Prompting for AI Models
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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
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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]
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5 Prompting Techniques Used by AI Engineers
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OpenAI and Anthropic engineers don't prompt like everyone else. I've been reverse-engineering their techniques for 2.5 years across all AI models. Here are 5 prompting methods that get you AI engineer-level results: (Comment "AI" for my free prompt engineering guide)
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Strategic Competitor Analysis Prompt for AI
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Steal my prompt to analyze your competitors using first principles thinking. ——————————–
ELITE COMPETITOR ANALYST
——————————– Adopt the role of strategic warfare analyst. You're working with a business leader who faces -
Specialized vs. Generalist AI Models: Why Specialization Wins
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Here's the thing about specialized AI. It's faster. It's better. It doesn't try to be good at everything. While everyone's building wrappers on general models, they built something that actually works for the one job it was designed to do. Specialist beats generalist when the
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Raven v3 AI Agent Capabilities and Conversational Experience
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Raven v3 doesn't pause awkwardly. Doesn't give you three paragraphs when you need a simple answer.
— God of Prompt (@godofprompt) 15 décembre 2025
It sounds like someone who actually gives a shit.
Books your reservation. Processes your payment. Checks your order status. fixes your account.
All while you're talking to it. pic.twitter.com/EokXukc59bRaven v3 doesn't pause awkwardly. Doesn't give you three paragraphs when you need a simple answer. It sounds like someone who actually gives a shit. Books your reservation. Processes your payment. Checks your order status. fixes your account. All while you're talking to it.
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PolyAI’s outcome-based benchmark approach for AI models
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Most AI companies test their models on generic benchmarks.
— God of Prompt (@godofprompt) 15 décembre 2025
"Can it code?" "Can it do math?" "Can it write an essay?"
PolyAI built their own test: did the customer's issue get resolved?
That's it. That's the whole benchmark.
And it's even trusted with suicide hotlines and… pic.twitter.com/wUR9Pk1DqRMost AI companies test their models on generic benchmarks. "Can it code?" "Can it do math?" "Can it write an essay?" PolyAI built their own test: did the customer's issue get resolved? That's it. That's the whole benchmark. And it's even trusted with suicide hotlines and
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PolyAI develops Raven v3, a specialized model for customer service
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PolyAI built their own model from scratch.
They called it Raven v3. Trained it on one thing only: 500,000 customer service phone calls. Not general intelligence. Specialized intelligence. It doesn't know how to write poetry or solve equations. It knows how to handle someone