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Teresa Torres
Product Discovery Coach at Product Talk
Make better product decisions: Learn a structured and sustainable approach to continuous discovery. Read my blog at http://producttalk.org
Highlights
We have two cohorts of our flagship course Product Discovery Fundamentals starting in March and April.
This six-week program introduces you to a structured and sustainable approach to continuous discovery. It's designed to get you hands-on practice with the discovery habits.
As the cost to delivery approaches zero, product teams will be spending more of their time on discovery. Learn how to make that time effective.
Come join us. You can find the course description and upcoming schedule here: https://t.co/krbySA2xsl
One recent graduate said, "It was an incredible deep dive into the habits that help product teams stay aligned with customer needs while driving business outcomes."
"When I started using Claude Code, I thought I was just building personal productivity tools. I didn't realize I was also learning context engineering—the same skills that product teams use to build production AI products."
Ever wondered how your daily AI habits connect to building actual AI products? In this article, I break down how the context management skills you're already developing directly translate to production context engineering.
Learn how product teams are solving the same problems you face:
🔧 Breaking big tasks into smaller, focused prompts (just like keeping https://t.co/kC4CfyiPJ6 files compact)
💾 Building external memory systems to store context outside the window
✂️ Curating what goes into each conversational turn to prevent bloat
🔄 Repeating critical information so it's fresh when decisions are made
🤖 Using multiple agents to multiply available context windows
The article shows real examples from companies like https://t.co/XFxSPz3hkr, Rest, Trainline, and others who've learned these patterns through trial and error. "If you'd break it down for a human, break it down for the LLM" - solid advice that applies whether you're coding or building products.
Check out the article: https://t.co/gk4gGLrhg5
🤔 Which context management trick from your daily AI use do you think would be most valuable in a production AI product? Share your thoughts in the comments below.

