Self-driving mode // Agent edition

Self-driving mode for AI agents

Greenflash reads every conversation your agent has, finds where it breaks, and drafts the fix as a PR. You review, you merge, your agent gets better.

Yes, this page exists because of PostHog's self-driving launch. Yes, we're fans. Keep scrolling.

We like PostHog. This site runs it.

Seriously, view source. PostHog handles the pageviews and funnels for greenflash.ai, and it handles them well. Self-driving products are the right idea, and they do it well for web apps.

But their loop reads your agent's transcripts the way infrastructure does: traces, latency, cost. It can't tell whether the answer actually helped. When your product is a chatbot or a copilot, failure doesn't look like an error or a rage click. It looks like a polite hallucination in message fourteen, or a user who types "never mind" and churns three weeks later.

Clickstream tools were never built to read that. Greenflash was built to read nothing else.

Agents fail differently.

i.Signals

Your telemetry is language. Transcripts, tool calls, sentiment, whether the user actually got what they came for.

ii.Failure modes

Hallucinations, refusal loops, prompt drift. There's no stack trace for "the model got weird."

iii.The fix surface

The fix rarely lives in your UI. It lives in your system prompt, your tool definitions, your agent logic.

An unbounded failure space needs analytics that can read.

The loop, agent edition.

01Read

Every conversation gets scored across quality pillars the moment it lands.

02Flag

Hallucinations, frustrated users, and failed tasks reach your Inbox already prioritized.

03Diagnose

Root cause gets traced to the exact prompt component or tool call that broke.

04Fix

Greenflash drafts the prompt or agent change, you review the PR.

05Measure

The next thousand conversations tell you whether it worked.

The honest comparison.

Short version: plenty of teams run both. We do.

Improves

PostHog self-driving

Your web or mobile app

Greenflash

Your AI agent, chatbot, or assistant

Primary signal

PostHog self-driving

Events, errors, replays, tickets, LLM traces

Greenflash

Full transcripts and tool calls, read for meaning

Catches

PostHog self-driving

Broken flows, crashes, funnel drop-off

Greenflash

Hallucinations, refusal loops, failed tasks, frustrated users

The fix lands in

PostHog self-driving

Your app code

Greenflash

Your system prompt and agent code

Measures impact with

PostHog self-driving

Product metrics and experiments

Greenflash

15+ quality tests on every conversation, plus custom analyses you define

Pricing

PostHog self-driving

$15 per PR opened, first 3 free each month (as of July 2026)

Greenflash

Free tier with 1M tokens included; plans scale with usage

Use both?

PostHog self-driving

Yes. Genuinely.

Greenflash

Yes. We do.

When PostHog is the right call

If your product is a regular SaaS app or uses AI sparingly, use PostHog self-driving and don't look back. We mean that.

If the conversation is your product, the signals that matter never touch a clickstream. That's the case Greenflash was built for: agents, chatbots, copilots, voice.

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

Start

Hands off the wheel.Eyes on every conversation.

About ten minutes to wire up. Scored conversations the same day. SOC 2 Type II, and your transcripts stay yours.

Free to start · no credit card · 1M tokens included · Trust center →

See it live

Want to watch the loop run on your own agent's traffic?

Book a demo →

On your data, not a canned deck.

P.S. Hi PostHog. Loved the launch. We kept our pageviews with you. The conversations are ours.