See every user issue.
Reproduce it automatically. Close the loop.
Ponty records every session, uses AI to detect friction and auto-tag issues, then deploys AI agents to reproduce bugs in a real browser. Tests are self-healing — when your UI changes, they adapt. From first session to verified fix, fully automated.
Free tier included. No credit card required.
The loop is broken
Your users encounter issues you can't see, can't reproduce, and can't verify you've fixed.
Users hit problems you never hear about
Most friction goes unreported. Users churn silently. By the time you notice, the damage is done.
"It works on my machine"
A bug report arrives with no context. Engineers spend hours guessing. The fix takes 20 minutes — finding it takes a week.
Fix one thing, break another
You ship a fix but have no way to verify it actually solved the user's problem. The same issues keep coming back.
Four steps to close the loop
Record & understand
Drop in our SDK. Ponty records every user session with full DOM replay, then AI analyzes each one — summarizing what happened, detecting friction, and flagging issues automatically.
Auto-detect & tag issues
AI watches every session for rage clicks, dead ends, slow loads, and broken flows. Issues are created automatically with affected user counts, severity, and linked session replays.
AI agents reproduce & test
An AI agent opens a real browser and reproduces the issue — or runs your QA tests. Describe flows in plain English. The agent clicks, types, and asserts like a human would.
Self-heal & run in CI
Tests adapt when your UI changes — no selectors to maintain. Run on every PR via CLI or GitHub Actions. After you ship a fix, the agent re-verifies automatically.
AI agents run your QA. Tests heal themselves.
Describe what to test in plain English. An AI agent opens a real browser and executes every step — clicking, typing, asserting — just like a human. When your UI changes, the agent adapts. No brittle selectors. No flaky tests.
tests:
- name: checkout-flow
url: https://your-app.com
prompt: >
Add the first product to cart,
complete checkout, and verify
the order confirmation page.“Add the first product to cart, complete checkout, and verify the order confirmation page.”
Starting at the product listing page to begin checkout flow
Selecting the first product to add to cart
Adding product to cart before checkout
Moving to cart to verify item and proceed
Proceeding to checkout flow
Entering required shipping and payment details
Submitting the order to complete checkout
AI agent, not a script
The agent sees your page like a human — it understands buttons, forms, and flows. No CSS selectors or XPaths that break on every deploy.
Self-healing tests
Renamed a button? Moved a form field? The agent adapts automatically. Tests stay green through UI changes without anyone touching them.
Grounded in real sessions
47 users got stuck on checkout. Click "reproduce" and the agent proves the bug exists in 30 seconds — generated from the real user session.
From user frustration to verified fix
The full lifecycle: detect, reproduce, verify — so nothing falls through the cracks.
Session Recording
Full DOM replay of every user session. See exactly what they saw — every click, scroll, and error. Privacy masking on by default.
AI Friction Detection
AI watches every session and flags where users get stuck — rage clicks, dead ends, slow loads, failed flows. No manual tagging.
Agentic QA Testing
AI agents drive a real browser to test your app. Describe flows in plain English — the agent clicks, types, and asserts like a human. No selectors to maintain.
Self-Healing Tests
Tests adapt when your UI changes. The AI agent understands intent, not selectors — so a renamed button or moved form field won't break your test suite.
Semantic Search
"Show me users who got stuck on checkout." Natural language search over your entire session history.
Integrations
Issues push to GitHub, Jira, Linear, or Slack with replay links and repro steps.
One loop, every team
Engineers reproduce and verify. Support sees what happened. QA catches regressions.
Reproduce any bug in seconds
Every issue comes with a session replay and an AI-generated Playwright test. No more guessing. No more 'steps to reproduce?'
- Session replay attached to every issue
- One-click automated reproduction
- Verified fix — the loop closes itself
See what the user saw
Pull up any user's session instantly. Watch the replay, understand the problem, and escalate with full context — no back-and-forth.
- Search sessions by user or email
- AI summary so you don't watch the whole thing
- Share replay links with engineering
Tests grounded in reality
Agent tests are generated from real user sessions, not hypothetical scenarios. Run them on every PR.
- Tests from real friction sessions
- Run from dashboard, CLI, or GitHub Actions
- Full browser replay of every test run
The layer your stack is missing
You probably already use some of these. Ponty fills the gaps between them.
Product analytics + session replay
Shows what happened. Doesn't tell you why users struggled or help you reproduce it.
Error monitoring + basic replay
Catches crashes. Misses all the UX friction that doesn't throw an error.
Support tickets + customer comms
Knows the user complained. Doesn't know what they experienced.
| Capability | Ponty | PostHog | Sentry | Zendesk |
|---|---|---|---|---|
| Full session replay | Basic | |||
| AI friction detection | ||||
| Agentic QA testing | ||||
| Self-healing tests | ||||
| Automated reproduction | ||||
| Verified fix loop | ||||
| Auto issue filing | ||||
| Semantic search |
Integrates with your stack
Works with everything you already use
Issues push to your tracker with replay links. Errors link back to sessions. Integrations are free on every plan.
GitHub Issues
Issue TrackingPush issues with replay links and repro steps. Receive status updates via webhooks.
Jira
Issue TrackingCreate tickets in any project. OAuth 2.0 with auto token refresh. Cloud & Server.
Linear
Issue TrackingPush issues via GraphQL API. OAuth with team auto-detection.
Slack
NotificationsRich notifications with session replay links. OAuth bot or incoming webhook.
Sentry
Error MonitoringAuto-detected by the SDK. Captures error IDs and injects session context. See the user journey behind every error.
PostHog
Session SourcesAuto-detected by the SDK. Captures distinct IDs and feature flags. Know which variant the user saw.
Update status in Jira, it updates in Ponty. Close in Ponty, it closes in GitHub.
Real-time updates via signed webhooks. HMAC-SHA256 verified.
All OAuth tokens stored with AES-256-GCM. Automatic token refresh.
Works where your users are
Web today. iOS and Android coming soon. Same AI analysis across all platforms.
Web
Full DOM recording. Works with any framework. Sub-30KB, privacy masking on by default.
iOS
Native Swift SDK. View hierarchy snapshots, touch tracking, and crash capture.
Android
React Native bridge or native. Screenshot-based replay and touch capture.
All user inputs masked by default. You choose what to capture.
Asynchronous capture with batched uploads. Users never notice.
Import, init with your project key, done.
Simple pricing. All features on every plan.
Credits power everything. One session = 1 credit. One AI analysis = 2. One reproduction = 10. No feature locks — ever.
Pro
50,000 credits
- Unlimited projects
- 90-day retention
- All integrations
- Priority support
What do credits cover?
| Action | Credits |
|---|---|
| Record a session | 1 |
| AI analysis + friction detection | 2 |
| Semantic search query | 1 |
| Automated reproduction | 10 |
| AI chat message | 3 |
| Integration sync | Free |
5,000 free credits = ~2,500 sessions with AI analysis, or 500 reproductions, or any mix.
Stop guessing. Start closing the loop.
Set up in under five minutes. Find issues, reproduce them, and verify fixes — automatically.
Or get notified when we launch