Your AI agent works.
But is it working for users?
Greenflashhelps product teams understand every AI conversation: where users get stuck, what the product is missing, and what to improve next.
Evals cover the plan. Greenflash surfaces what users actually experience.
Logs and traces show what happened. Evals test known paths. Greenflash fills the missing product management layer, turning real conversations into clear priorities and what to ship next.
Your current stack
Product management
Missing
Evals
Test what you expected
Logs + traces
See what happened
what users actually experience
Greenflash
The product layer for AI agents.
Turn real conversations into clear product direction.
- 01
Find the signal
See the patterns hiding across thousands of AI conversations
- 02
Understand the impact
Know who is affected, what is breaking, and why it matters
- 03
Ship what matters
Prioritize meaningful product, prompt, and workflow changes
See what changes when
your team catches the real problem.
Greenflash finds the product issue behind repeated AI conversations, shows the evidence, and recommends the change that moves the experience forward.
Without Greenflash
Sale lostThe agent answers the question and misses the upgrade moment.
With Greenflash
Sale closedThe agent sees the usage limit and offers the right plan.
Greenflash found the pattern
Document limits were a buying moment, not a support issue.
124 Starter users hit the cap this week. The agent kept explaining limits instead of recognizing upgrade intent.
Recommended change
When users are near the cap, show their current usage, name Team as the next plan, and offer the upgrade link.
After shipped
+12%
Starter → Team upgrade rate
Measured across users who hit the document cap in the week after the recommendation shipped.
Turn every AI conversation into a product decision.
Greenflash turns production AI interactions into evidence your team can trust: where users get stuck, which patterns are repeating, and what improvement should come next.
i.Interactions
Greenflash reads the whole conversation, including messages, events, tool calls, and agent traces, so your team can see what the user needed and how the agent actually responded.
ii.Patterns
Each interaction becomes structured product signal: where the user got stuck, whether intent was met, what caused friction, and which moments point to a larger product gap.
iii.Product decisions
Across conversations, Greenflash turns recurring patterns into product-level findings: what’s breaking, who it affects, why it matters, and what your team should improve next.
Turn conversations into user understanding
“Love the product. Using it all the time. Helps us understand our users and what their needs are. Indispensable.”
Dave Ingram
CEO · Querri
Enterprise-ready controls for customer data isolation, auditability, and privacy-sensitive AI workflows.
Visit our trust center ↗Start reading real conversations in ten minutes.
Install through Claude Code, any Skills-compatible agent, or a few lines of TypeScript or Python. Greenflash connects next to your existing AI calls and starts surfacing product findings from live conversations.
Ten minutes from install to your first product finding.
Choose your setup
Install with Claude Code
Claude Code installs Greenflash, adds the SDK, and wires conversation logging into your AI calls.
Your users are already showing you what to ship.Greenflash turns every conversation into product direction.
Your first two weeks
- Day 01See where users are getting stuck.
- Day 03Find the segments, accounts, and moments that need attention.
- Week 01Ship your first improvement with conversation-level evidence.
- Week 02Prioritize the roadmap from real usage, not anecdotes.
Free to start · no credit card · 1M tokens included
01
What is Greenflash?
Greenflash is product management for AI agents. We read every real user conversation, score it against your definition of quality, and tell you what to fix or ship next. Chat, voice, agentic workflows. All of it.
02
How is Greenflash different from AI observability or evals?
Observability watches your stack. Evals quiz your prompts. Greenflash reads the conversations your users are actually having in production, then ties what is broken to what to do about it.
03
What is the Product Quality Index (PQI)?
PQI is your quality philosophy, enforced. You weight four categories (User Satisfaction, Growth & Intent, Friction & Reliability, and Safety & Fairness) and every conversation, prompt, and product is ranked against that definition. Change the weights once. Greenflash applies them everywhere else.
04
What does Greenflash integrate with?
SDKs for Python and TypeScript/Node. A Claude Code plugin. A Skills CLI for any Skills-compatible agent. A public REST API for everything else. Pipe in business events from Stripe, PostHog, or your warehouse to tie conversations to actual revenue.
05
Does Greenflash work with voice agents?
Yes, and audio never touches our servers. We work from the transcript. Five analyzers run automatically on any call with per-turn timing: latency (TTFA), interruptions, silences, call-end, and prosody. Vapi, Retell, ElevenLabs, Bland, Synthflow, LiveKit, Pipecat, and OpenAI Realtime work out of the box.
06
How long does it take to set up Greenflash?
Roughly ten minutes. Faster if you live in Claude Code or any Skills-compatible agent: run `/greenflash-onboard` and we install the SDK, set up the client, and wire up conversation logging in your codebase ourselves.
07
Is Greenflash secure and compliant?
SOC 2 Type II. HIPAA-ready, with a BAA on Enterprise. Row-level tenant isolation, automatic PII redaction, and full audit logs on Enterprise. Your data stays yours.
08
Is there a free tier?
Yes. 1M tokens, no credit card. Enough to instrument a real product and see real findings before you commit to anything.
Proof your changes worked
“It’s the only tool we have that connects what we changed to what users actually did.
For an AI agent responsible for revenue, that’s not a nice-to-have. It’s how we ship.”