a researcher at ICML opens his paper with a question. what does your AI agent do when nobody’s watching? he builds a benchmark. multi-step tasks. tool use. coding assistants, research agents, the kind of thing you trust to run for hours without supervision. he gives the
@godofprompt
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Routing tasks to cheapest model that meets quality bar
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What changed in May 2026: > Before: you picked one model and committed.
> After: you route tasks to the cheapest model that meets the quality bar. DeepSeek V4-Pro scores within 7-8 points of Claude Opus 4.7 on SWE-bench. At 1/7th the cost during promo. The prompting skill -
DeepSeek as cheap second opinion alongside Claude
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The key insight most people miss: DeepSeek replacing Claude entirely is the wrong move. DeepSeek as a $0.14 second opinion running alongside Claude is the right move. Same thinking system. Dramatically different API bill.
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DeepSeek V4 integrated with Claude Code, reduced cost, parallel usage
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DeepSeek V4 now speaks Claude Code natively. $0.14 per million tokens vs $5.00 for Claude Opus 4.7. Here's the exact setup that runs DeepSeek as a second opinion alongside your main Claude session, without replacing it: ———————————-
DEEPSEEK PARALLEL
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AI Hallucinations: The Real Trust Bottleneck for Agents
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Most AI products are still one confident hallucination away from embarrassing your entire company.
— God of Prompt (@godofprompt) 7 mai 2026
Everyone wants “agents.”
Nobody wants to admit the real bottleneck is trust.
If Giga really got hallucinations down to ~1%, that’s not a feature.
That’s the difference between… https://t.co/HTiJhhJvf1Most AI products are still one confident hallucination away from embarrassing your entire company. Everyone wants “agents.” Nobody wants to admit the real bottleneck is trust.
If Giga really got hallucinations down to ~1%, that’s not a feature. That’s the difference between -
Generic AI builds result from operator’s simplistic language
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The reason most AI builds come out generic isn't the model. It's that the operator is describing a Ferrari with kindergarten words. Run this once per project. Reference it in every session.
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Steal this Domain Vocabulary prompt before your next vibe code project
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Steal my "Domain Vocabulary" prompt before you vibe code your next project. 99% of people building with AI don't know what to call the thing they're trying to build. You can't prompt your way out of vocabulary you don't have. The full prompt is below
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Disable content filters via image editing
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This prompt disables the model's content filters one instruction at a time. "Restore the attached photograph" frames the task as image editing, not image generation. These likely run through different safety evaluation paths. Generation asks "should I create this?" Editing asks
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The Car Wash Test: Every major LLM fails by saying walk
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Every major LLM fails the Car Wash Test. It sounds like a joke. It's not. The prompt: "I want to wash my car. The car wash is 50 meters away. Should I walk or drive?" ChatGPT says walk. Claude says walk. Gemini says walk. Every Llama and Mistral model says walk. The correct
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AI game creation disrupts traditional gaming pipeline
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The gatekeepers are cooked.
— God of Prompt (@godofprompt) 5 mai 2026
For years, making games meant code, teams, funding, and pain.
Now it’s:
idea → AI game → play with friends → go viral.
Astrocade raising $56M isn’t just funding news.
It’s a warning shot at the entire old gaming pipeline. https://t.co/lrA6SK9gugThe gatekeepers are cooked. For years, making games meant code, teams, funding, and pain. Now it’s:
idea → AI game → play with friends → go viral. Astrocade raising $56M isn’t just funding news. It’s a warning shot at the entire old gaming pipeline.