Press Space to continue
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Press Space to continue
Press Space to continue
The research came back in five minutes. The interesting part is what the PM did next. Pavneet ran a feature research skill live on the episode, pulling from the support platform, the project tracker, and internal docs at once. Nineteen tickets filed in two months on a single request. Asked how long it would have taken by hand, he says half his day, easily, if not more. But watch how he actually reads the output. He does not treat it as an answer. He treats it as a filter. It tells him the…
Together AI just raised $800M at an $8.3B valuation. I got their product team to open up the actual repo they run on: 0:00 - Slop is the new party foul 1:44 - Why individual output backfired 3:26 - Inside the shared product repo 8:57 - Who owns the context files 10:41 - Team skills vs personal skills 11:57 - Picking a harness and a model 15:17 - Feature research running live 16:57 - What stays human in the loop 19:56 - The PRD skill that interviews you 23:09 - Half a day of research in 5 min 24:25 - Their customer insights MCP 27:31 - What a good PRD looks like now 32:02 - Reading the finished PRD 35:07 - Every repo in one place 40:24 - Context is a hierarchy, not a pool 41:20 - Build your own orchestrator 44:19 - Agent evals on shipped features 49:41 - Design validated every few hours 52:26 - Where PM ends, engineer begins 55:10 - What it actually cost them