Banti · Audit + Agent QA
Backed by Afore CapitalStop watching session replays.Start merging fixes.
Audit your product, send agents through real user flows, and turn friction into evidence-backed tickets and draft PRs. Built for seed–Series A teams shipping faster than they can watch.
Evidence Banti surfaced from one onboarding flow, last 14 days
BANTI-0148 · onboarding / step 3High confidence
“Connect data source” CTA appears active but is disabled — users cannot proceed without OAuth scope.
Evidence
18rage-clicks on disabled CTAPostHog07support tickets, all same wordingIntercom05Sentry events: TypeError on submitSentry02interview quotes, similar phrasingGong01agent run reproduced the broken stateBanti
Proposed fix
banti-bot wants to merge into main+12 −4
fix(onboarding): gate CTA on scope, add validation copy
components/ConnectStep.tsx- <Button disabled={!ready}>Connect</Button>+ <Button disabled={!ready} aria-describedby="connect-hint">+ {ready ? "Connect" : "Grant write scope first"}+ </Button>
linked: LIN-204 · drafted by banti-botAwaiting human approval ↗
Humans always approve before merge.
§ 01 · How it works
From rage-click to merged fix, in one loop.
01 / Audit
Read what users already told you.
Connects to your analytics, errors, support, interviews, and codebase. No new instrumentation.
- PostHog · FullStory · Amplitude
- Sentry · LogRocket
- Intercom · Zendesk · Gong
- GitHub · Linear · Jira
02 / Test
Send agents through the flows that matter.
Maps your activation path, then sends agents through it like real users — edge cases included.
- signup → first action paths
- browser & state edge cases
- broken loading & error states
- reproduces breakpoints on demand
03 / Fix
Open the PR with the evidence attached.
Each issue ships with repro steps, suspected files, a success metric, and — when safe — a draft PR. You approve every merge.
- frontend · copy · validation fixes
- linked tickets in Linear / Jira
- post-merge activation tracking
- human approval, always
§ 02 · Integrations
Twelve sources, one verdict per breakpoint.
Behavior
PostHog
Funnels, rage clicks, dead-end clicks.
Behavior
FullStory
Session replay tagged to breakpoints.
Behavior
Amplitude
Activation cohorts and drop-off.
Errors
Sentry
Stack traces correlated with sessions.
Errors
LogRocket
Frontend errors and replay.
Support
Intercom
Tickets parsed, clustered by issue.
Support
Zendesk
Repeated complaints surfaced.
Voice of user
Gong
Quotes pulled from churn calls.
Voice of user
Zoom
Transcript search across interviews.
Code
GitHub
Suspected files, diff, draft PRs.
Tickets
Linear
Issues with evidence attached.
Tickets
Jira
Drafts ranked by blast radius.
SOC 2 in progress · scoped, read-only access by default+ uploaded interviews, churn notes, custom CSVs
§ 03 · Why a new tool
Your stack already watches.
Nothing in it fixes.
Category
What it does
What Banti does
Analytics (PostHog, Amplitude)
Tells you something dropped.
Tells you what broke, why, who it hit, and ships the fix.
Replay (FullStory, LogRocket)
Hours of footage, no synthesis.
Replays clustered into one ticket per root cause.
Support (Intercom, Zendesk)
Captures complaints after they happen.
Catches the same issue before five more users open tickets.
Errors (Sentry)
Surfaces crashes, not UX dead-ends.
Connects errors to behavior, copy, and code.
QA agents (Browserbase, etc.)
Runs scripted paths you already wrote.
Tests paths shaped by how your real users move.
§ 04 · Who it’s for
Built for the people who own the number.
Founder
You hear “users keep getting stuck” in every call. You’ve never had time to watch the sessions.
the receipts, ranked, with a fix attached.
Product lead
Activation is your KPI. The drop-off graph isn’t the diagnosis — it’s the symptom.
to walk into the next review with breakpoints, not vibes.
Engineering lead
The same five small bugs keep generating tickets. Nobody has time to chase them between sprints.
scoped PRs that ship in an afternoon, not a quarter.