Every note in the archive that names Model Context Protocol: summaries, key takeaways and links to the original essays, episodes and posts. Ask a question below to get a cited answer from just these notes’ authors.
Tal and Aman argue that the fastest way to build intuition for AI products is to use coding agents like Cursor for non-technical product work rather than consumer chat tools. The post walks readers through setup, model…
A glossary explaining 20+ common AI terms in simple language, from models and LLMs to transformers, training, RLHF, RAG, evals, agents, and hallucinations. It aims to help readers follow AI conversations in meetings and…
Colin Matthews explains that ChatGPT apps let third-party tools surface interactive widgets inside conversations, creating a potentially major distribution channel. The post covers how users discover apps contextually…
“Listen to this episode on: Spotify | Apple Podcasts What happens when you hand your opportunity solution tree to an AI? Vistaly rebuilt its entire product to find out—and the agents were the easy part. In this episode of Just Now Possible, Teresa Torres talks with Matt O'”
Teresa Torres interviews four members of Medable, a clinical trial platform company, about building Agent Studio, a no-code/low-code platform for configuring and deploying AI agents across the clinical trial lifecycle…
Teresa Torres and Petra Wille discuss how they use AI as strategic thought partners across writing, coding, and product work rather than as ghostwriters. Petra describes a voice-first, bilingual transcription workflow…
Cagan argues that the build-versus-buy question, long familiar in IT and product teams, is being reshaped by generative AI and user-programming tools like Lovable and Bolt. Despite hype that everyone will build and SaaS…
Lenny Rachitsky, introducing a guest post by Colin on AI leverage for product managers, argues that PM work is shifting from coordination toward hands-on building with AI. The post lays out three ladders of leverage…