2. Small tasks, not mega-prompts. The most common pattern in every complaint thread: someone pastes a massive, vague prompt and expects a finished product in one shot. The engineers getting clean output break work into small, well-defined, isolated units. One function. One
@godofprompt
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Treating AI-Generated Code with Human Standards in the Enterprise
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1. You generate it, you own it. This was the engineer's core rule at his Fortune 500 company. Every line of AI-generated code is treated the same as human-written code. It has bugs? Your bug. It breaks prod? Your incident. The moment you stop treating AI output as "the AI's
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Improving AI interaction through better prompting and workflow habits
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"Every complaint about Claude is secretly a workflow confession." A FAANG engineer posted this on Reddit. 1,100 upvotes. 211 comments. And the replies confirmed it. The pattern in every "Claude is broken" thread is the same: vague prompts, no review, no isolation, no ownership.
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Optimizing AI Infrastructure via Intelligent Model Routing
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Most AI apps are still burning money by sending every prompt to the most expensive model.
— God of Prompt (@godofprompt) 12 mai 2026
That won’t last.
The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break.
This is the infra layer everyone… https://t.co/mpM5L6tuwwMost AI apps are still burning money by sending every prompt to the most expensive model. That won’t last. The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break. This is the infra layer everyone
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Optimizing AI Application Performance via Intelligent Model Routing
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0% markup + automatic model routing is the part people should pay attention to. The winner won’t be the app using the biggest model for everything.
It’ll be the one that knows when not to. -
The reality of AI-assisted ‘vibe coding’
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Every vibe coder after scanning their codebase https://t.co/YvLUjWeIPm pic.twitter.com/jgia76GSAH
— God of Prompt (@godofprompt) 12 mai 2026Every vibe coder after scanning their codebase
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Google to replace Veo with new Gemini Omni video model
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🚨 Veo isn't getting an upgrade. It's getting replaced.
— God of Prompt (@godofprompt) 12 mai 2026
A "Gemini Omni" announcement card just surfaced inside the Gemini app ahead of Google I/O 2026.
Google's own copy: "Meet our new video model."
"Edit video directly in chat" tells you where this is heading. Video… pic.twitter.com/eXxaMqqi2nVeo isn't getting an upgrade. It's getting replaced. A "Gemini Omni" announcement card just surfaced inside the Gemini app ahead of Google I/O 2026. Google's own copy: "Meet our new video model." "Edit video directly in chat" tells you where this is heading.
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Optimizing AI Prompts for Marketing Copywriting
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Two ways to get the most out of this: First, answer the Phase 1 questions with uncomfortable honesty. The prompt pushes back on vague answers for a reason. "I like marketing" gives you nothing. "I like writing landing pages that convert for info-product creators" gives you a
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Using AI Prompting to Identify Your Ikigai
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Steal my prompt to find your Ikigai. Ikigai is the Japanese framework for finding purpose at the intersection of four things: what you love, what you're good at, what the world needs, and what you can be paid for. Most people treat it as a nice diagram to look at. This prompt
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Gemini API Update Adds Structured Timelines for Model Reasoning
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The old Gemini API worked like a vending machine. Prompt in, answer out, no visibility into what happened between. This update gives you a structured timeline of every step the model took: thinking, searching, tool calls, final output. Each one labeled and separated. You can now