Windsurf got a new mode where Claude Sonnet 4.5 would do all the planning and faster SWE-1.5 model will be applying changes to the code. AI pair programming
GENERATIVE AI
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Optimized Prompt for AI-Powered Web Design
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Some of you complaining the prompt is too long.
— God of Prompt (@godofprompt) 22 novembre 2025
So I made a shorter version:
Prompt:
You're a design prodigy who builds 2025-quality websites balancing aesthetics with conversion. You understand image AI needs frameworks (Tailwind, Shadcn, glassmorphism), depth backgrounds… https://t.co/satdzGz31bSome of you complaining the prompt is too long. So I made a shorter version: Prompt:
You're a design prodigy who builds 2025-quality websites balancing aesthetics with conversion. You understand image AI needs frameworks (Tailwind, Shadcn, glassmorphism), depth backgrounds -
Using AI prompts to automate web design workflows
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Try it for yourself reason it’s nothing special is because i didnt bother to share as much info about me or my desired design i was focused on making the prompt for USER CONVENIENCE Guiding them through each step like a web design agency I’m pushing the boundaries of what’s
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Design Considerations for AI Chatbot Interfaces and Token Efficiency
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I can one shot the same result But the phases are interactive and it’s made for USER CONVENIENCE burning “agent tokens” is true, but this is not a prompt for any agent lol it’s for the chatbot interface for which users pay subscription and this will not exceed the limits
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Creating mini-app workflows through advanced prompt engineering
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You dont have to create prompts like this I’m not teaching anyone to I’m making it for you to use them Because I control each step of esvh phase And all you do is write “continue” These prompts are like mini-apps with their own flow
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Interactive prompt-based AI workflow strategy
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I gave u a prompt that is interactive and just gets input from you in phases for your own convenience You dont have to write sh*t
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Defining Sloppiness: LLM Limitations in Detecting Quality
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Hard to define or attach metrics to sloppiness, but we intuitively know when we see it. LLMs can judge it in generated texts to some degree, but this too I have noticed they are looking for keywords(delve, meticulously,…), too much perfection and not so much on actual
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Comparative Performance Analysis of Gemini 3.0 Pro and Claude 4.5 Sonnet
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So who actually won? Final score across 10 brutal tasks: Gemini 3.0 Pro: 6 wins
Claude 4.5 Sonnet: 3 wins
Ties: 1 (both were solid) Gemini crushed the hard reasoning, system debugging, and multi-step planning. Claude shined on storytelling, cultural nuance, and softer human -
Prompt Engineering: Testing AI Cultural Intelligence
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9. High-Context Cultural Intelligence Test
— God of Prompt (@godofprompt) 22 novembre 2025
Prompt:
Explain why a CEO saying “Let’s circle back later” has different meanings in the US, Japan, Germany, Pakistan, and France. Include subtext, tone interpretation, power dynamics, and how the phrase would be perceived in… pic.twitter.com/l6Evjs95xK9. High-Context Cultural Intelligence Test Prompt: Explain why a CEO saying “Let’s circle back later” has different meanings in the US, Japan, Germany, Pakistan, and France. Include subtext, tone interpretation, power dynamics, and how the phrase would be perceived in
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Using Prompt Engineering to Explain Computational Irreducibility
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8. Compression to Essence
— God of Prompt (@godofprompt) 22 novembre 2025
Prompt:
Compress the concept “computational irreducibility in complex systems” into one paragraph, then expand it into a short classroom lesson with examples, then compress it again into a single-sentence analogy suitable for a beginner. Both… pic.twitter.com/dQDCFBD8ke8. Compression to Essence Prompt: Compress the concept “computational irreducibility in complex systems” into one paragraph, then expand it into a short classroom lesson with examples, then compress it again into a single-sentence analogy suitable for a beginner. Both