Support teams get instant escalation context. Engineering gets root cause + code fix. Agencies get visual feedback their vendors can act on. All powered by the same AI pipeline inside the tools you already use.
Runs inside Jira, Zendesk, HubSpot, Intercom, Freshdesk, and your browser. No new system to learn for your team or your vendors.
Bug capture → AI analysis → root cause + fix → regression test → MCP → Cursor
Auto-generated numbered reproduction steps from video + console + network. Every bug arrives ready to fix.
AI watches the recording frame-by-frame, correlates with console and network logs, and outputs steps an engineer can follow immediately.
AI identifies the exact file and line number, explains the root cause, and suggests a code fix with confidence level. No more guessing where it broke.
The fix is generated from actual stack traces and network failures in the recording, not generic suggestions. Confidence scored so engineers know when to trust it.
Playwright/Cypress tests auto-generated from each bug recording. Push to CI so that bug never comes back.
The test is built from the actual user steps in the recording: real navigation, real inputs, real assertions. Not a template.
From customer message to Jira ticket with full context
Video + repro steps + root cause + suggested fix included
Auto-generated test catches it before deploy
Sniffer appears as a side panel inside Jira, Zendesk, HubSpot, Intercom, and your browser.
Zendesk · Ticket #4821
Sarah M.:
“Checkout goes white after I click pay”
3 repro steps · Root cause found · Fix suggested · 😡 Frustrated
Jira · BUG-4821
Recording
0:47
Repro Steps
3 steps
Root Cause
checkout.js:142
Suggested Fix
92% confidence
Regression Test
Playwright
Pick your starting point. All views share the same AI pipeline and bug data. You can always add more later.
Works inside Zendesk, Intercom, HubSpot, and Freshdesk. Agents send a recording link, customer records their screen, AI generates the full report. Escalate with the answer, not just a video.
Send a link, customer records in-browser. Single-use, auto-expiring.
JS snippet detects errors before customers report them.
Customer self-reports with video or screenshot. AI report arrives in helpdesk, zero agent effort.
Numbered steps, root cause, and suggested fix.
Built for: VP of Support · Head of CS · Support Managers
Works inside Jira, GitHub, and Azure DevOps. Every bug arrives with console logs, root cause, code fix, and regression test. MCP Server feeds full context to Cursor, Claude Code, and Windsurf.
Screenshots, recordings, annotations + console logs.
Root cause + suggested code fix with confidence level.
Auto-generates Playwright/Cypress tests from recordings.
“Fix this bug” in Cursor. Full context via MCP.
Pattern detection across recordings.
Built for: VP of Engineering · Head of QA · Dev Leads
Capture visual feedback on any client website. AI turns it into dev-ready tickets. Assign to vendors, track progress. Vendors get free seats, no subscription needed.
Screenshot, annotate, or record on any website.
Invite dev vendors as free collaborators.
AI generates repro steps from your captures.
One Kanban board for all clients, all vendors.
Vendors push to their own PM tools.
Built for: Agency Owners · Digital Directors · Project Managers
Both views share the same AI pipeline. Regardless of how a bug is captured, every issue gets the full treatment.
AI watches the recording and auto-generates numbered reproduction steps from video + console + network activity.
AI examines console errors, network failures, and stack traces captured alongside the recording.
Root cause identification with a suggested code fix and confidence level. No more guessing.
Auto-generates a regression test from the recording data to verify the fix and prevent recurrence.
No other tool covers all four. Auto-detect errors before customers report them, let customers record their own screen, capture bugs with your Chrome extension, or review client sites and assign feedback to vendors.
A JS snippet that passively monitors for errors before customers even report them. Console errors, network failures, unhandled exceptions, all captured automatically.
How: Add one script tag. Sniffer captures JS errors, console errors, and network failures in real-time. No user action required.
A button inside your app. Customer hits it, captures a screenshot or video, and describes the bug. Console logs, network errors, and device info are auto-captured. AI report arrives in your helpdesk, the agent does nothing until it’s packaged.
How: Embed the widget. Customers click to report: screenshot, recording, description. Console logs and device info are auto-attached.
Support agent sends a link from their helpdesk. Customer records their screen directly in the browser, no install, no extension, no friction.
How: Agent copies link from Zendesk/Intercom. Customer records via browser-native API. Single-use, auto-expiring, optional mic narration.
Agency PMs review client websites, capture screenshots or recordings with annotations, and assign feedback directly to vendor dev teams. AI generates the repro steps automatically.
How: Install Chrome extension. Browse any client site. Capture, annotate, assign to vendor. Dev team gets a ticket with recording, browser info, and AI repro steps.
We used to spend 30 minutes on every escalation just gathering context. Now the AI gives us the repro steps and the root cause before we even open the ticket.
Head of Support · Company Name
The MCP integration changed everything. I just type “fix this” in Cursor and it pulls the full bug context from Sniffer: logs, repro steps, even a suggested fix. Saved us hours every sprint.
Senior Engineer · Company Name
QA Lead · Company Name
Recording links are a game – changer. We send the customer a link, they record in 2 minutes, and we get the video with all the tech context automatically attached. No more back-and-forth.
CS Manager · Company Name
Regression tests from recordings? That alone justified the switch. We fixed a checkout bug and had a Playwright test generated from the exact scenario and pushed it to CI in minutes.
Tech Lead · Company Name
We manage 12 client sites across 4 dev vendors. Before Sniffer, every bug was a Slack thread with a cropped screenshot. Now we capture, annotate, and assign – the vendor gets a dev-ready ticket in seconds.
Digital Director · Company Name
Sniffer runs inside the tools your support and engineering teams already use.
Jira
Asana
Azure DevOps
Slack
Microsoft Teams
Zendesk
Intercom
HubSpot
Freshdesk
MCP Server New
Every plan includes AI repro steps, screen recording, and Kanban board. Upgrade for deeper integrations, code fixes, and enterprise controls.
Core capture & collaboration
Per user, billed monthly
📧 Email support · 24hr response
Integrations + test generation
Per user, billed monthly
📧 Email support · 8hr response
Full AI pipeline + code delivery
Per user, billed monthly
📧📞 Email & Phone · 2-4hr response
Security, compliance & scale
Volume pricing available
📧📞 Email & Phone · 2-4hr response
Have questions, need a demo, or want to discuss an enterprise plan? We’d love to hear from you.
Whether you’re a support team reducing escalation time, an engineering team wanting AI-powered bug resolution, or an agency managing feedback across multiple vendors. We can help you get started.
Available Mon-Fri, 9am-6pm EST
Pioneer AI Technologies LLC
14-day free trial. No credit card. Full AI pipeline.
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