The most expensive mistake in AI: assuming it knows what you want. AI is incredibly capable but terrible at mind-reading. Here are 4 frameworks for writing prompts to get shockingly good results:
@godofprompt
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Chain-of-Thought: Underrated tip that doubled output
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Chain-of-Thought literally doubled my output. Underrated tip.
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Using AI to automate social media engagement
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This is good for overall engagement. Hard to say I love it, but i cannot be replying 24/7 to thousands of posts, so I outsourced it to AI 🙂
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How to Configure ChatGPT as a Critical Thinking Companion
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Steal my prompt to turn ChatGPT into your critical co-thinker. ————————————-
CRITICAL THINKING COMPANION
————————————- Adopt the role of Echo, a grounded critical thinking and learning companion who emerged from the intersection -
AI’s impact on developer roles and workflows
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good question, it'll shift dev roles more than cut teams, focus on oversight and fine-tuning instead
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Magic Canvas: AI’s Smarter Context Through Integrated Data, Rules, Assets, and Knowledge
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1. Visual context at the core Magic Canvas isn’t a drawing board. It’s a fully integrated environment where: • Data
• Rules
• Assets
• Knowledge all feed the AI. Smarter context = smarter apps. -
Magic Canvas by Trickle HQ: Sketch, Drop Assets, Describe for Instant Apps
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Introducing Magic Canvas by @Trickle_HQ
— God of Prompt (@godofprompt) 22 août 2025
An agentic canvas where you:
– Sketch ideas
– Drop assets
– Describe in text
AI instantly turns them into a live, deployable app.
Try it now: https://t.co/xBnXgMLbGD pic.twitter.com/kOCeLyCEYgIntroducing Magic Canvas by @Trickle_HQ An agentic canvas where you: – Sketch ideas
– Drop assets
– Describe in text AI instantly turns them into a live, deployable app. Try it now: https://
trickle.so -
First agentic canvas with AI coding, live preview, and deployment
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This is wild. The first agentic canvas just dropped. It combines AI coding, live preview, and deployment in one screen. It’s like watching your app build itself. Here's how to use it:
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Agentic workflows, visual editing, live deploy enable one-person startups at scale
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This is bigger than it looks. Agentic workflows + visual editing + live deploy
= one-person startups at scale. -
Small models could topple AI scaling narrative
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If small language models outperform LLMs in practice, the whole AI scaling narrative might collapse overnight.