Bug reports that
actually make sense
A Chrome extension that lives on any web app. Your testers screenshot a bug, chat with an AI that knows your product inside out, and a perfectly-formed issue lands in Linear, Jira, or Asana. 60 seconds, zero follow-up.
We're launching soon. Join the waitlist for early access.
JAXYour team loses 10+ hours
a sprint to bad bug reports
Developers spend 30-50% of debugging time just understanding what was reported. The bug itself is a 5-minute fix. The context gap is the bottleneck.
20 minutes per bug report
Switching tabs, writing repro steps, cropping screenshots, guessing at priority. For every. single. bug.
3-5 duplicate tickets per real bug
You file it. Your coworker files it. The client files it. None of them have enough context. All need triage.
2-day Slack ping-pong to reproduce
Developer sees the ticket. “Can you reproduce this?” Two days of async back-and-forth before any code changes.
From “that looks broken” to an
engineering task in 60 seconds
Why teams switch to JAX
An AI that actually knows your product
Upload your product docs and connect your Git repo. JAX understands intended behavior, so it can tell bugs from features and ask the right follow-up questions — not generic ones.
When a tester says “I expected X to happen,” the AI can confirm whether that expectation is correct based on your documentation, or flag it as a genuine bug.
“The chart shows $0 for September. That can't be right.”
“Confirmed — the revenue endpoint returns null for September when the 90-day aggregation window is active. This contradicts the spec in docs/analytics.md. Creating a bug report.”
Semantic duplicate detection
“Export button broken,” “can't download report,” and “CSV generation fails” are the same bug. JAX catches that — using meaning, not keywords.
Before creating any new issue, the AI searches your existing tracker. If a match exists, it links to the original or enriches it with the new context.
Duplicate check results
Different module — creating new issue instead of linking.
Rich context, automatically
Screenshot, console errors, HAR files, browser info, and page URL. Captured in one click.
Integrates where you work
Linear, Jira, Asana. Issues created with the right labels, priority, and assignee.
Your team, your rules
Register web apps, invite testers, control permissions. Full admin panel.
Built for non-technical reporters
Stakeholders describe the problem. The AI translates it into engineering language.
Works with React, Next.js, Angular, Vue, and any web app
Start free. Scale when ready.
No credit card required. Get your team reporting smarter in minutes.
Starter
For small teams getting started
- 1 registered web app
- Up to 3 reporters
- 50 conversations / month
- 10 MB documentation
- Screenshot + HAR capture
- Linear integration
Pro
For growing teams
- Unlimited web apps
- Unlimited reporters
- 500 conversations / month
- 100 MB documentation
- Screenshot + HAR + console capture
- All integrations
- Duplicate detection
- Custom AI knowledge base
- Pay-as-you-go top-ups
Enterprise
For organizations at scale
- Everything in Pro
- Unlimited conversations
- Unlimited documentation
- SSO / SAML
- Priority support
- Custom integrations
- SLA & dedicated onboarding
Frequently asked questions
How does JAX understand my product?
You upload your product documentation and optionally connect your Git repository through the admin panel. JAX indexes this knowledge so the AI agent can understand your product’s intended behavior, features, and technical architecture.
Which task management tools does JAX integrate with?
JAX currently supports Linear, Jira, and Asana. We’re adding more integrations regularly — if you need a specific tool, reach out.
How does duplicate detection work?
Before creating any new issue, JAX searches your existing issues using a combination of semantic similarity (understanding meaning, not just keywords) and keyword matching. If it finds a potential duplicate, it’ll ask you before creating a new ticket or link to the existing one.
Do my testers need to be technical?
Not at all. That’s the whole point. Testers, stakeholders, and clients just describe what went wrong in plain language. The AI handles translating that into a properly structured engineering task with all the technical context.
What data does the Chrome extension capture?
When you trigger a report, JAX captures: a screenshot of the visible page, browser console errors, network requests (as a HAR file), the page URL, and browser metadata. All of this is attached to the issue automatically.
Is my data secure?
Yes. Screenshots and data are processed server-side and only stored for the duration needed to create the report. We don’t train on your data. Your product documentation and codebase knowledge stays within your organization’s account.
Your testers deserve better
than Jira forms
Start turning screenshots into actionable tickets in under 5 minutes. Join the waitlist for early access.