❌ INSTRUCTION PROMPT: "Write a value proposition for my AI analytics tool" ✅ SOCRATIC PROMPT: "What makes a value proposition compelling to B2B buyers? What emotional and logical triggers should it hit? Now apply that framework to an AI analytics tool." The AI thinks first,

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Patrick Collison (Stripe ceo) on How to Move Fast:

Imma just leave this here. Happy Sunday, friends.

Teaching people what’s possible with AI will be the critical linchpin

One of the cooler full circle moments of my career.... August 28, 2024, I first DM'd with Anton Osika – eu/acc, CEO of Lovable. At the time, he had just launched gptengineer (Lovable's first product) on Product Hunt and ranked #2 for the day. I was struck by Anton's vision of making

Lovable has named tenex as its first official service partner. So pumped to be partnering with you and the team Alex Lieberman

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Arman Hezarkhani OK I tried it and I take it all back. This is mind-blowing.

For all health AI founders out there

Prediction: In the AI age, taste will become even more important. When anyone can make anything, the big differentiator is what you choose to make. paulgraham.com/taste.html

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Think AI will reduce demand for doctors? Consider this: Claude writes 100% of its own code, yet Anthropic's engineering team is exploding. We aren't looking at the end of the physicians, but the birth of Medical Orchestrators. When asked why Anthropic is still aggressively

I just really love this. It’s rare

Introducing Cross-Project Referencing. Lovable can now pull in context from across your workspace (files, components, even chat history) so new projects don’t start from scratch. This means you don't have to rebuild the same components, rewrite the same context, or re-explain

Some new research on how agents are being deployed in the wild! Most agents are being deployed for software engineering use cases, but we're seeing a rise across industries. We can also track how the level of autonomy and risk of deployments is changing over time. Read the

The founders who scale learn to listen for what comes before the noise. 🎧

Most medical AI companies rent their intelligence. We train ours. Today Baseten published a case study on how we do it: why we build domain-specific models on peer-reviewed literature instead of using general-purpose AI off the shelf, and what that means for the doctors who