Tal Raviv
Product manager; the first PM at Riverside in 2024, earlier an early PM at Patreon, AppsFlyer and Wix; writes the newsletter Build AI product sense.
Tal Raviv did not write this page.
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Our reading
AI builders should keep capability evals: tests that keep failing until the models can do the task.
Their wordsFounders and PMs at the forefront of AI make bets on what’s going to emerge in 6-12 months and build for the future. To be first to know when AI starts crushing a task, they create “capability evals,” or tests that keep failing… until they don’t.
- 5 months earlier
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Our reading
The agents people run on their own computers are exactly the same as those running in the cloud.
Their wordsBy a delightful fluke of history, the “agents” we run on our computers (e.g. inside Claude Cowork or Codex) are exactly the same as those running in the cloud (say, Notion AI, Zapier’s Shared Brain, Harvey, Spiral, or this Trello clone).
- 2 weeks earlier
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Our reading
Like data teams before them, roles that AI takes busywork from remain needed, for better reasons.
Their wordsThat’s what happened to data teams. Before, they were up to their noses in data requests and maintaining dashboards. Now they were hired to think strategically and see the big picture across teams. Data roles are still very much needed, now for better reasons.
- 5 weeks earlier
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Their wordsLong before AI, the best version of my job was to sit next to experts and builders, connect them to as much context as possible (customer and company) and get out of the way.