Press Space to continue
Press Space to continue
Together AI's product team had never actually compared how they work. Necoline Hubner describes the moment they sat down and did it. They had been swapping AI tips in the hallway for months without ever auditing the day to day. What they found is the reason the shared repo exists. Some workflows were genuinely unique to a person's area. Diagnosing a node failure. Working a specific support queue. But the rest of what everyone did was the same thing over and over. Researching customer needs.…
Aakash Gupta@aakashgupta1d ago
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
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