BotGauge
Freemium
Startups and fast-moving engineering teams
Before Users Do
PaidAgentic
AI coding agents ship code fast — QA doesn't keep up, and bugs land in production because no one ran the preview URL against anything but a quick eyeball check. Before Users Do sits in that gap, running an AI agent against your preview deployment and surfacing console errors, broken states, and user friction before the PR merges.
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Summary
The tool connects to MCP-compatible clients like Cursor or Claude Desktop, so the QA loop runs inside the same environment where the code was written. An AI agent tests the preview URL against expected behavior, capturing network failures and broken UI states, while human testers can layer in notes, screenshots, and recordings for confusion or stuck points that automation misses. The output is a fix-ready report with full repro steps and context — structured so an AI agent can act on it directly. Where it strains: there is no API and no self-hosted option, so teams with strict data residency requirements or those who need to embed QA checks into a custom CI pipeline hit a wall fast.
Bottom line: Pick this when your team ships from Cursor or Claude Desktop and needs QA that doesn't require a separate tool context switch — but plan a different approach when your pipeline is fully custom or your infrastructure can't send preview traffic to a hosted service.
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AxonQA
Freemium
QA engineers and teams shipping software
Pros
- MCP-native integration with Cursor and Claude Desktop, so QA runs inside the agent workflow where the code was written — no separate tool context switch, no copy-pasting results between systems.
- AI agent checks the preview URL against expected behavior automatically, catching console errors and network failures that a human eyeball review on a tight deadline routinely misses.
- Human tester review layer lets teams flag confusion and stuck points that purely behavioral checks skip, so friction that doesn't throw an error still gets surfaced before release.
- Fix-ready report format includes repro steps, screenshots, and recordings structured for AI agent consumption, which means the gap between 'bug found' and 'fix started' shrinks to a single handoff rather than a manual translation step.
- Captures broken states and UI bugs at the preview stage, so regressions get caught before merge rather than after a user files a ticket.
Cons
- No API means the QA check cannot be embedded directly into a custom CI/CD pipeline — teams whose deployment flow doesn't run through an MCP-compatible client have no integration path and end up running QA as a manual side step, which defeats the automation benefit.
- No self-hosted option is a hard block for any team under data residency, HIPAA, SOC 2, or internal security policies that prohibit routing preview traffic through an external hosted service — those teams abandon this for self-hosted alternatives or open-source test runners they can deploy inside their own infrastructure.
- The paid-only model with no free tier means teams cannot run a low-stakes pilot before committing budget — evaluation requires a purchasing decision upfront, which adds friction for teams at larger organizations where tool spend requires approval.
About
- Platforms
- Web, MCP clients
- API Available
- No
- Self-Hosted
- No
- Last Updated
- September 8, 2026
Best For
Who it's for
- AI coding workflows needing built-in QA
- Teams using MCP-compatible clients like Cursor or Claude Desktop
- Catching UI bugs, console errors, and user friction before release
- Creating fix-ready reports with full context for AI agents
What it does well
- AI agent QA of preview URLs against expected behavior
- Generating clean handoffs with repro steps and context
- Capturing console errors, network failures, and broken states
- Human tester review for confusion or stuck points
- Attaching notes, screenshots, and recordings to features
Integrations
Frequently Asked Questions
- Is Before Users Do free?
- Before Users Do is a paid tool. No permanent free tier is offered.
- When was Before Users Do released?
- Before Users Do was first released in 2026.
- What platforms does Before Users Do support?
- Before Users Do is available on: Web, MCP clients.
Before Users Do runs an AI agent against a preview URL, checking behavior against what you defined as expected, and reports back with console errors, network failures, broken states, and the full context needed to reproduce and fix each issue. The workflow is built around MCP-compatible clients — Cursor and Claude Desktop are the named integrations — which means the QA check lives inside the same agent loop where the code was written, rather than requiring a context switch to a separate dashboard or test runner.
The differentiating feature is the handoff format. Instead of a list of failures, the vendor describes the output as a clean repro package: steps, screenshots, recordings, and enough context that an AI coding agent can pick up the report and act on it without a human translating the findings first. Human testers can attach their own notes and flag confusion or friction points that the AI agent’s behavioral check wouldn’t surface on its own.
This fits tightly into AI-assisted coding workflows where speed is the constraint and QA is the bottleneck that breaks the loop. Teams using Cursor or Claude Desktop to generate code get a QA step that speaks the same language as their coding agent. Where it breaks: there is no API, so embedding this check into an existing CI/CD pipeline requires the MCP client layer — teams with custom pipelines or non-MCP toolchains get no native integration path. There is also no self-hosted option, which is a hard stop for teams with data residency requirements or security policies that prohibit sending preview traffic to an external hosted service. At that point, teams typically fall back to manual QA or purpose-built self-hosted test runners.
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