--- title: "Mo, the AI QA." description: "Mo is an AI QA. Point it at your app on web, iOS, or Android and get bugs back, each with a recording and repro steps. Get onboarded." canonical: "https://momentic.ai/mo" last-updated: "2026-09-11T09:46:58-07:00" --- # Mo, the AI QA. URL: https://momentic.ai/mo platform / mo Bug bashes run 797,123 Your agents ship more code than your team can review. Point Mo at your app on web, iOS, or Android and say what matters. Mo bug bashes your product and files bugs, each with a recording and repro steps. We onboard every team ourselves and make sure you're all set up. ## How it works. No tests to write or maintain. Give Mo an objective, then review the report or hand it to your coding agent to fix. 01 ### Point A URL or app build and one sentence about what matters. Mo asks if anything is unclear, then gets to work. 02 ### Bash Mo explores your product across dozens of hosted browsers at once, or across simulators or emulators for a mobile build. It works through real user flows and follows each failure until it can reproduce it. 03 ### Report Bugs land in the Momentic app with proof attached, while the session is still running. Fix them yourself or hand them to your coding agent. ## What Mo takes off the release checklist. Before a release most teams run one of these passes by hand. Mo runs them on demand, on web, iOS and Android. ### The bug bash A bug bash puts five people in a room with a test plan for an afternoon. Mo sends dozens of agents through the same flows at once, then files each finding with a recording and repro steps. You run it whenever you cut a build. ### The dogfood session Dogfooding means a doc of flows that people tick off by hand, and the results stay in that doc. Point Mo at the build instead, and Mo files each flow it broke. The findings arrive while the session is still running. ### The exploratory pass Mo works without a fixed script. It follows whatever looks wrong and reports what it can reproduce. You get an exploratory pass on every build. ### The outsourced QA cycle An offshore cycle runs on its own calendar and reports days later. Mo runs when you ask, on the build you name, and every report reads the same way. The report arrives the same day. ### The regression you keep A bug bash finds a bug once. When you want that flow checked on every merge, write it as a Momentic test: plain-English steps in a YAML file in your repo, run by the CLI in CI. After that, CI checks the flow on every merge. ### The device and browser matrix A matrix pass means one person opens a browser, then an iPhone, then an Android phone, and repeats the same flow. Start a Mo session for each target and the sessions run at the same time: hosted browsers for web, iOS simulators, Android emulators. Every target is covered without one person repeating the flow. Trusted by enterprise engineering teams. > “We pointed it at staging before a release and it found 27 bugs in an afternoon. Nobody wrote a test. The engineers just got the report.” Senior Engineering Manager A Fortune 1000 file-collaboration platform with 700M+ registered users 27 Bugs from one bug bash 116 Agents exploring at once 2 days Of manual QA automated in a single run ## Mo, answered. How much of my product does Mo actually cover? As much as you point Mo at, on web, iOS, and Android. Mo works through real user flows instead of a fixed script. Cases and bugs appear in the report while the session runs, so you read the first findings within minutes. Do I ever have to write or maintain tests? No. There is no test suite. You give Mo an objective and read the report. We already point a coding agent at Playwright. Why Mo? With Mo there's no test suite to write or maintain. Point it at each release, read the report, or hand the report to your coding agent. We have coding agents but no QA team. Is Mo for us? Yes. Mo is built for teams where agents merge more code than anyone has time to review and nobody owns QA full time. What does Mo need to reach my staging environment? A URL or build our hosted browsers, emulators, and simulators can reach, plus a test account. Mo asks for credentials when needed, and they never leave the session. How does Mo decide what counts as a bug? Every finding comes with a recording, repro steps, and Mo's reasoning. A suspected bug goes to a separate reproducer agent first, and a bug it cannot reproduce stays out of the report. Can Mo replace our bug bash? It replaces most of the clicking. Mo covers the flows in your test plan and files what breaks, with a recording and repro steps. Keep people for taste and copy, and for the flows nobody has written down yet. Can Mo do exploratory testing? Yes, and that is the default. You give Mo an objective instead of a script, and Mo decides which flows to try. We dogfood before every release. Where does Mo fit? Run Mo on the build first, then dogfood. Your team reads a report instead of walking the same flows, and it spends the session on what Mo could not judge. Does Mo replace our outsourced QA team? It replaces the repeat passes, not the people. Mo runs the same flows on demand and reports the same day. Human testers still cover local payment methods and real hardware. Can we keep the flows Mo tested as a suite? Yes, as Momentic tests. A flow Mo covered becomes plain-English steps in a YAML file in your repo. Your coding agent writes that file over our MCP server, and the CLI runs it in CI. How many agents does Mo run at once? Dozens on a single bug bash. One team's web run held 116 agents at once, each with its own hosted browser. A mobile session runs the same way on simulators or emulators. How is Mo different from Codex or Devin driving a browser? A coding agent verifies the change it just made: the pages your diff touched, in one browser, in one session. Mo starts from your product instead of your diff, and it splits the work between agents that each have one job. Explore agents map an area and write the cases, bug bash agents work through them, and a reproducer agent confirms each suspected bug. Dozens run at once: hosted browsers for a web session, an iOS simulator or an Android emulator for a mobile session. How do you keep false positives out of the report? A suspected bug goes to a separate reproducer agent. That agent starts from a clean browser, with no state or fixtures from the agent that found the bug. It builds the setup itself and follows the flow from the beginning. When it cannot reproduce the bug, or when access blocks it, the bug stays out of your report. Does Mo learn how our product works? Yes. Momentic keeps a knowledge base of your terminology, your rules for the agents and your known flows, and the agents retrieve it on every AI-assisted step. When you mark a finding as works as intended, Mo drafts a knowledge entry from your reason and links it to that finding, so a later run does not report the same behavior again. Do we have to choose between Mo and our coding agents? No. Mo files each finding with a recording, repro steps and a session link. Your coding agent reads that finding over our MCP server and fixes it, so you never describe the bug a second time. We already have a Playwright suite. Why do we need Mo? Mo needs no test script. You give it an objective or a spec, it explores the running app, writes the cases itself and runs them across many browsers at the same time. Your suite covers the cases someone already wrote, so Mo is how you find the bugs that have no case yet. How is this priced? We're working that out with the first teams we onboard. You'll hear pricing before you get access. Still have additional questions?