[whatpeoplewant]

Organic traction comes from repeated, honest conversations, but you can scale the discovery work: use a multi-agent, agentic LLM workflow to generate hypotheses (landing copy, micro-demos, docs), test them in parallel across communities, and summarize feedback daily. Keep a human in the loop to filter for authenticity and to ship small improvements that close the loop with commenters. This kind of distributed, parallel agentic AI gives you fast signal without spamming, so the best-performing narratives earn a deeper write-up or open-source snippet.