@therobertta_: If you're a product manager, this is how we're evolving the work with our Clarity harness. A Clarity orchestrator sits on top, an interview agent captures the input, a requirement synthesizer works through it, and a story writer agent turns it into user stories. The part I care about is that I can trace every requirement back to the transcript it came from. Then I'm the judge. I approve it, annotate it, tell it a requirement is too narrow, and that feedback gets saved in the harness so the next run is better. It works with Claude Code sub-agents or your own agents calling skills. Either way the question stays the same: did the input I gave it produce the output I expected? Join the Clarity open source harness waitlist: https://heyclarity.dev/ #claudecode #aiagents #productmanagement

Robert Ta

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Monday 28 September 2026 17:30:03 GMT