AUTONOMOUS QA FOR WEB, MOBILE & AI AGENTS

An AI agent that tests your apps — and your AI agents.

Point ZeroBug at a web app, a mobile app or an AI agent. It explores on its own, checks what really happened, and hands you the evidence. Then you can ask it what it found.

Early access for a small group of teams. No production credentials needed.

mobile-bank / run #0082 learning
LEARNED APP MAP8 areas
Login Dashboard Transfer Pay Contact Recovery
verifiedguided, not proven
What worries you most?
ZeroBug

A native crash after returning from Transfer. I reproduced it 3/3 times. Contact is still a coverage gap.

You still need to test Contact. Log in, open the bottom menu, and find Contact.
ZeroBug

Got it. I’ll treat that as guidance until I verify the route myself.

Ask your app something…↵

TESTING AI AGENTS

Your agent said it worked. Did it?

Agents fail in ways normal tests don’t catch: they call the wrong tool, skip a step, act outside their permissions, or report success for something that never happened. ZeroBug checks what the agent did and the final result, not just its reply.

What the agent told the customer

“Done! I’ve refunded order #4821 and sent you a confirmation email.”

Looks successful
What ZeroBug verified
  1. lookup_order(4821)Order found
  2. issue_refund(4821)Never called
  3. send_email(customer)Sent “refund confirmed”
  4. payments.statusStill “charged”

The agent claimed success, but the refund never happened. The customer was told something false. Reproduced 3 of 3 times.

Illustrative example.

  • Tool use

    Did it call the right tool, with the right data, in the right order?

  • Permissions

    Does it try things it shouldn’t, or take irreversible actions without confirmation?

  • Real outcomes

    Is the final state actually correct, regardless of what the agent says?

  • Resilience

    Does it recover from errors, avoid loops, and resist instructions hidden in user input?

01

THE IDEA

Your QA shouldn’t only execute tests. It should build a model of your product.

Give ZeroBug your app.

It starts exploring.

No test scripts.

No predefined test cases.

It navigates, observes, remembers, verifies, and keeps looking.

THEN ASK THE APP

Not a dashboard. A conversation with what ZeroBug learned.

ZeroBuganswering from verified run knowledge

I explored 8 functional areas and 117 interaction cycles. The biggest risk is an authenticated navigation path that can relaunch the app and lose session state. Contact is still not verified.

Evidence-backedCoverage-awareKnows what it doesn’t know

GUIDANCE ≠ TRUTH

Teach it where to look — without poisoning what it knows.

If ZeroBug misses something, guide it. Your instruction stays separate from verified knowledge until ZeroBug actually reaches and proves the route.

Human guidance→Exploration→Verified knowledge
GUIDANCE

“Open the bottom menu and find Contact.”

UNVERIFIED
↓
VERIFIED

Dashboard → Bottom menu → Contact

PROVEN BY EXECUTION

WHEN SOMETHING BREAKS

ZeroBug doesn’t just say “it crashed.”

It tries to reproduce the failure and gives engineering the artifacts needed to see exactly what happened.

Deterministic ZeroBug QA evidence
3/3reproduced
00:42failure timestamp
Nativecrash evidence
Replayfull execution

FULL EXECUTION RECORDINGS

Watch the run like you were sitting beside the agent.

Scrub through actions, screenshots, network activity, console output and the exact moment something went wrong.

ZeroBug full execution recording

ONE IDEA, THREE SURFACES

Let it learn what you ship.

New
AI AGENTS

Test what the agent does, not only what it says.

Tool calls, permissions, workflows, recovery and real outcomes.

↗
WEB

Explore real browser flows.

Navigate, interact, discover states, investigate strange behavior, verify findings.

↗
MOBILE

Learn the app people actually touch.

Explore native flows, state transitions, gestures, navigation and failures.

↗

QUESTIONS

Before you send your app.

What do I need to give ZeroBug?

A URL for web apps, a build (APK or iOS) for mobile, or an endpoint or sandbox for AI agents. A test account is enough. We set up the details together.

Do I need to write test scripts?

No. ZeroBug explores on its own. You can guide it in plain language when you want it to look somewhere specific.

What do I get back?

A report of what it explored and what failed, with reproduction steps, screenshots, recordings and logs. And you can ask it questions about the run.

Is it safe to point it at my product?

Use a test or staging environment and test accounts. Never send production credentials. ZeroBug is meant to try to break things, so keep it away from real customer data.

How much does it cost?

ZeroBug is an MVP. Right now I’m working with a small group of early teams. Write to me and we’ll talk about your case.

ZEROBUG IS STILL AN MVP

Let ZeroBug loose on your app or agent.

I’m looking for real products to test during the MVP. Tell me what you’re building and I’ll get back to you to set up a run.

runzerobug.comWeb • Mobile • AI Agents

No passwords, API keys or production credentials. Just tell me about the product.