Greenflash

About Greenflash

Greenflash reads every conversation your AI agent has with users and turns them into product direction. Its framing is a three-tier stack: logs and traces show what happened, evals test the paths you already anticipated, and the missing third tier is product management — understanding what users actually experienced, where they got stuck, what the product was missing, and what to build next. Greenflash occupies that tier. It surfaces patterns across thousands of conversations, identifies who is affected and why it matters, and recommends specific product, prompt, and workflow changes with conversation-level evidence attached. The worked example on their site is a support agent that keeps explaining a document cap to users hitting it, when 124 Starter users hitting that cap in a week is a buying signal rather than a support issue — Greenflash surfaces the pattern, recommends showing current usage and offering the upgrade link, and then measures the result, in their example a 12% lift in Starter-to-Team upgrade rate among users who hit the cap. That closing of the loop, connecting a shipped change to what users then did, is what their quoted customer singles out. Billing is by tokens read rather than per seat, with unlimited products and team members on every plan, and it works inside the app as well as through Claude, Copilot, Cursor, and any Skills-compatible agent.

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