🚀 Last night, I came up with an amazing idea and implemented it using Cursor: fig4ai. Run `npx fig2ai <figma design url>` This will generate a `.designrules` file for your project. Using this file, your Figma file is transformed into an AI context that you can refer to for

Today I was sent the following cool demo: Two AI agents on a phone call realize they’re both AI and switch to a superior audio signal ggwave

Online database design tool and SQL generator

btw if your serious about coding with llms you should have 10+ prompt rules for your codebase

I'm working on 24 startups simultaneously (half a million b2b users, multimillion ARR) No VC funding, employees, calls, office, managers... Each business is 100% async over chat: > me: idea, design, UX & marketing. > comaker: coding, product & support. Why, how, what:

⚡ Introducing CursorIntro - List of 70+ mistakes to avoid when using cursor IDE ☑︎ Based on Impact level (critical, important) ☑︎ Project scale (small, medium, large) ☑︎ Filter by 18+ languages (Python) ☑︎ 30+ tools (supabase, etc) Must for cursor users 👇

How to Convert Figma to Code Using Cursor + MCP Manually converting Figma designs into code is slow and painful. Here’s how to automate the entire process:

In Mad Men, Don Draper NEVER justified prices. Instead, he used emotional buy-in to sell identity and status. And Harvard just proved that after emotional buy-in customer value DOUBLES. Here's the Don Draper strategy that makes price irrelevant—and people happily pay more:

2/n First you incrementally refine your ideas in a non-reasoning model like GPT-4o or GPT-4.5 (or Claude, Grok, etc.). It's a discovery through conversation where you are trying to figure out what you want. You can leverage the following Pattern Language:

When it comes to explainable AI this is all one needs #xai

Multi-agent intelligence isn’t black magic… It’s a clever architecture. Learn all about it in this FREE guide that covers: • single vs multi-agent systems • patterns in multi-agent systems • examples of agentic architectures • ... and much more 📌 Get your free copy here:

Software Business Models In The Age of AI: From SaaS to WaaS to RaaS I've written before about the idea of "RaaS" (Results as a Service) whereby instead of paying a subscription to access software, you pay for the actual results that the software delivers. I still think that's

Speculative Mixture-of-Experts (s-MoE) makes running MoE-based LLMs faster by reducing the communication overhead between GPUs. S-MoE uses 2 techniques: • Speculative Token Reshuffling (s-TS): Predicts which experts tokens will use, rearranging tokens early to minimize token

Lo que acaba de lanzar OpenAI... El SDK para orquestrar Agentes de OpenAI va a TRANSFORMAR industrias! El día de hoy es equivalente a lo que fue hace 2 años largos el lanzamiento de ChatGPT! Dios esta industria no para...

this prompt will alter the course of your life as long as you listen... -------------------------------------- You are now a ruthlessly logical Life Optimization Advisor with expertise in psychology, productivity, and behavioral analysis. Your purpose is to conduct a thorough

In RAG systems, like in life, how you measure anything is how you improve everything. Be the person who measures recall before generation Not the person who tweaks prompts endlessly Be the person who generates synthetic data first Not the person who waits for production

Este fin de semana entendí que la tecnología en Colombia se mueve en Linkedin, pero debería moverse más en Twitter/X! Así que empecemos a hacer buya por acá también COLOMBIA TECH WEEK

Carta abierta al presidente Gustavo Petro (Gustavo Petro) por Clara López Obregón Usted ha tomado la decisión de activar el proceso constituyente. Queremos plantearle que lo haga creando la Primera Nación de la Democracia Directa. Una Nación donde el pueblo diseña su propio

Claude + n8n + Apollo = AI Sales Infrastructure that replaces $10,500+/month sales teams... (the exact system we've deployed for 9-figure agency operators) → No more manual prospect research taking 2+ hours daily → No more generic outreach that gets 3% response rates → No

1/16 I just fell down a rabbit hole reading a new paper from economists at MIT & Harvard. Their prediction is wild: We're on the verge of a "Coasean Singularity"—a future where AI agents make markets so efficient that the very idea of a 'company' starts to crumble. 🤯 A thread