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Greenflash

Product management layer for AI agents — reads production conversations and turns them into prioritized, evidence-backed product changes

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freemiumDR 7Free $0/mo: 1M tokens/month, unlimited products and members, 1 custom analysis, 1 Slack channel, community support, no card. Growth $299/mo: 10M tokens/month then $5 per 1M up to 250M, 3 custom analyses, agent skill for Claude and Copilot, 3 Slack channels, 5 webhooks, Linear integration, spend limits, Slack and email support. Enterprise custom: volume pricing, 10 custom analyses, 10 Slack channels, SSO, audit trail, SOC 2, HIPAA with BAA, dedicated support and SLA. Message content counts in full, system prompts and product context at 25%; tool calls, agentic steps, and reasoning traces are free.View full pricing →

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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Key Features

Pattern detection across thousands of production AI conversations
Impact analysis — who is affected, what is breaking, and why it matters
Prioritized product, prompt, and workflow change recommendations
Before/after measurement tying a shipped change to user behavior
Agent skill usable from Claude, Copilot, Cursor, and Skills-compatible agents
Slack channels, webhooks, and Linear integration for workflow automation
Token-based pricing with monthly spend caps that pause before overrun
Unlimited products and team members on every plan

Greenflash Pros & Cons

Pros

  • +No per-seat pricing — unlimited members even on free
  • +Generous token accounting: tool calls and reasoning traces are not billed
  • +Closes the loop from insight to shipped change to measured outcome
  • +Spend caps pause usage instead of surprising you with a bill

⚠️ Cons

  • $299/mo is a steep step up from the free tier
  • Only useful once you have real conversation volume in production
  • Reading every user conversation raises privacy questions you must handle
  • SOC 2 and HIPAA sit behind Enterprise

Who Is Greenflash Best For?

👤Product teams shipping a conversational AI agent to real users
👤Teams whose evals pass but whose users still get stuck
👤Companies where the agent is responsible for revenue or support outcomes

Tags

ai analyticsconversation analyticsllm observabilityproduct managementagent evaluationuser research
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