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)
@godofprompt
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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 -
Enterprise-focused AI model for customer call automation
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Everyone's prompting ChatGPT
— God of Prompt (@godofprompt) 15 décembre 2025
Meanwhile, there's an AI trained on 500,000 real customer calls. Not Reddit. Not Wikipedia.
It solves your problem in 45+ languages
Marriott, Caesars, FedEx all use it
Watch it switch languages 👇 pic.twitter.com/xFbyHgWanUEveryone's prompting ChatGPT Meanwhile, there's an AI trained on 500,000 real customer calls. Not Reddit. Not Wikipedia. It solves your problem in 45+ languages Marriott, Caesars, FedEx all use it Watch it switch languages
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New Research on Bounding Hallucinations in RAG Systems
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This paper explains why RAG works in demos and breaks in production. The paper is “Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin–Arthur Protocols.” And it attacks the hallucination problem from a direction almost nobody in applied AI is
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Macaron focuses on smarter training over benchmark chasing
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Most AI companies chase benchmarks nobody cares about. Macaron chases real intelligence that learns from actual experience. Research that ships: https://
macaron.im/mindlab
Product that works: https://
macaron.im Bigger models won't save you. Smarter training will. -
RL Efficiency Gains in Production Apps
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Mini-apps went from 20 minutes to 2 minutes. That's not optimization. That's demolition. The RL efficiency isn't hiding in benchmarks. It's crushing it in production. Stop reading papers. Start using products that actually ship the research.