Everyone's bragging about 200k, 1M, even 10M token context windows in 2026. Nobody's talking about what actually happens inside them. I just fell down this rabbit hole and I can't stop thinking about it: A new paper published January 2026 tested hundreds of thousands of data
@godofprompt
-
Multi-agent system builds from YouTube tutorials autonomously
By
–
This guy literally built a multi-agent orchestration system with Opus 4.6 to watch YouTube tutorials and execute them autonomously 😳 pic.twitter.com/hZYy1QkruD
— God of Prompt (@godofprompt) 24 février 2026This guy literally built a multi-agent orchestration system with Opus 4.6 to watch YouTube tutorials and execute them autonomously
-
Critique of AI-generated ad copy targeting
By
–
You prompt Claude with "write ad copy for my target audience." Based on what? Recycled marketing blogs. Vibes. Zero real humans consulted. And "synthetic personas" are worse. You're paying for AI to pretend to be your customers. Studies show they miss emotion, intuition, and
-

Context Stacking vs Role-Playing in Prompts
By
–
"Act as an expert" gives you a costume. Context Stacking gives you a thinking partner. I've used this across landing page copy, debugging, strategy decks, and cold outreach. Same model. Completely different results. Save this. Your prompts will never look the same.
-

AI mimics devs but lacks real expertise
By
–
When you say "act as a senior developer" the model doesn't think like one. It writes like one. Big difference. It pattern-matches to how developers sound in training data. Not how they actually solve problems. You get confident-sounding output. Not expert-level thinking.
-

Context Stacking for Better AI Results
By
–
I finally understand why "act as an expert" prompts are destroying your results. After 200+ tests across Claude, ChatGPT, and Gemini I found what actually works. It's called "Context Stacking" and it doesn't ask the AI to pretend anything. Here's the technique ↓
-
Context matters in agent vs chatbot
By
–
Context engineering in agents is so important. If the agent remembers what you said and perform the task, its really an agent.. otherwise, its a chatbot that hallucinates.
-
Anthropic accuses rivals of AI data theft
By
–
BREAKING: Anthropic just caught DeepSeek, Moonshot AI, and MiniMax running industrial-scale theft on Claude. 24,000 fake accounts. 16 million exchanges. Systematic capability extraction to train their own models. This isn't distillation. This is espionage with an API key.
-
Boosting Prompt Efficiency with Voice
By
–
Here's what it looks like in real time:
— God of Prompt (@godofprompt) 23 février 2026
→ Switching between Claude and ChatGPT
→ Complex prompts spoken naturally
→ Building on previous outputs by voice
→ Iterating 10x faster
This is how I went from 5 prompts a day to 50. pic.twitter.com/HddBPkFZneHere's what it looks like in real time: → Switching between Claude and ChatGPT
→ Complex prompts spoken naturally
→ Building on previous outputs by voice
→ Iterating 10x faster This is how I went from 5 prompts a day to 50. -
Seamless AI Conversation with Natural Language
By
–
So I started just… talking to Claude and ChatGPT.
— God of Prompt (@godofprompt) 23 février 2026
Like I'm explaining my idea to a smart colleague.
→ Open ChatGPT
→ Hit Wispr Flow
→ Just describe what I want in natural language
→ All the context, all the nuance, everything
Zero friction between thought and prompt. pic.twitter.com/bh7uiCMR6lSo I started just… talking to Claude and ChatGPT. Like I'm explaining my idea to a smart colleague. → Open ChatGPT
→ Hit Wispr Flow
→ Just describe what I want in natural language
→ All the context, all the nuance, everything Zero friction between thought and prompt.
