Choose the risk
Tell ReproScout which workflow would be expensive to get wrong. A complete specification is optional.
Autonomous AI QA agent
Find bugs.
Reproduce them.
Prove them.
Choose one workflow that would be expensive to get wrong. ReproScout turns it into 3–5 focused checks, explores it with autonomous AI agents, and delivers only independently verified findings.
One workflow · 3–5 planned checks · AI-generated report · no subscription required.
EXPLORATORY RUN
CompletedRun #42
5/5planned checks
2verified findings
78actions performed
Confirmed findingsReproduction
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›Users can edit another organization’s project
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›Archived project remains visible in the active list
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›Save button creates duplicate records after double-click
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›Console error after changing the dashboard filter
Built for SaaS teams that ship faster than they can test.
Startup foundersEngineering teamsQA engineersAI-generated applications
A small, clear first step
One risky workflow. One exact price.
A Scout Mission is not an unlimited product audit. You approve a concrete test plan before anything runs, so the scope and price never expand silently.
€49+ VAT · one Scout Mission
3–5 checks shown before the mission starts
Start a Scout Mission One AI-verified Scout Mission30–45 MIN AGENT BUDGET
- 01A concrete coverage planOne workflow, role, environment, and browser profile. Usually 3–5 focused checks, confirmed before the run.
- 02Parallel AI explorationA planner assigns focused checks to isolated explorer agents without expanding your approved scope.
- 03Independent clean-session verificationA separate verifier replays potential bugs in fresh browser sessions before they can be confirmed.
- 04An automatic developer-ready reportAI produces coverage, steps, screenshots, traces, console output, and network evidence without hidden human review.
Technical-failure guarantee: A mission that fails because ReproScout cannot produce a usable report is not charged as completed.
How it works
From one risky workflow to verified evidence
Start with one exact mission. If you select the whole product, ReproScout first estimates the workflows and missions required instead of pretending everything fits into one run.
Approve the plan
Review 3–5 proposed checks, the role, environment, browser profile, exclusions, and the fixed €49 + VAT price.
Agents explore and verify
Isolated explorers test the plan. A separate verifier clean-replays every candidate before it can become a confirmed bug.
AI delivers the evidence
Receive an automatic report with passed, blocked, and skipped checks plus reproducible findings and technical proof.
Capabilities
Exploratory testing powered by reusable QA skills
ReproScout does not randomly click around. It applies specialized testing strategies based on your application and specification.
Authentication and session testingQA-01
Form validation and boundary valuesQA-02
CRUD consistency and persistenceQA-03
Roles and authorizationQA-04
Navigation, refresh, and deep linksQA-05
Duplicate submissions and race conditionsQA-06
Console and network errorsQA-07
Responsive layout checksQA-08
Data integrity and business rulesQA-09
Adversarial user behaviorQA-10
Example report
A bug report your developers can act on
User can edit another organization’s project
CriticalConfidence 98%Reproduction 3 of 3 attempts
Violated rule
Reproduction stepsA user may only modify projects belonging to their organization.
- Sign in as test-user-a.
- Open the direct edit URL for a project owned by organization B.
- Change the project name.
- Click Save.
The difference
More than an AI browser agent
Specification-aware
ReproScout understands expected product behavior, roles, restrictions, and business rules before testing.
Evidence-first
Potential issues are independently reproduced and documented before they are reported.
Built from QA expertise
Reusable testing skills encode the strategies an experienced exploratory tester would apply.
| Capability | Basic browser agent | ReproScout |
|---|---|---|
| Navigates the application | Yes | Yes |
| Reads the product specification | Limited | Yes |
| Applies specialized QA strategies | No | Yes |
| Independently reproduces findings | No | Yes |
| Produces developer-ready evidence | Limited | Yes |
| Tracks explored areas | No | Yes |
Use cases
Designed for fast-moving software teams
Before a release
Let ReproScout explore high-risk areas before a new version reaches production.
After an AI-generated change
Check whether code produced by Codex, Claude Code, Cursor, or another coding agent introduced unexpected behavior.
Continuous bug hunting
Run recurring exploratory sessions against staging and surface new verified findings.
QA support for small teams
Give teams without a dedicated QA department an additional autonomous testing layer.
Start without a subscription
Test the workflow you worry about for €49 + VAT.
Approve 3–5 focused checks, let autonomous agents explore and verify them, and receive an AI-generated evidence report. If you want broader coverage, add only the missions your product actually needs.
Start a Scout Mission One focused workflow. Fixed scope. No subscription. No complete specification required.
FAQ
Questions, answered
What exactly is included in a €49 + VAT Scout Mission?
One focused workflow, one user role, one staging environment, one browser profile, and usually 3–5 planned checks. The agents share a 30–45 minute mission budget and the result is an automatic coverage and evidence report.
Can I select the whole product?
Yes, but “whole product” is a request for an estimate, not one unlimited mission. ReproScout maps the relevant workflows, proposes checks, and shows how many €49 missions are needed. A very small product may fit into one; a larger product will be split transparently.
What if no bugs are found?
You still receive a clear record of the checks that passed, what was blocked or skipped, candidates that could not be reproduced, and where product rules are missing. You are buying evidence about a risky workflow, not a promised bug count.
Is the report reviewed by a person?
No. The report is generated automatically by AI from structured test results and redacted evidence. Explorer agents cannot confirm their own candidates: a separate verifier must reproduce them, and an automatic publication gate blocks unsupported claims.
What if we do not have a reliable specification?
That is common. ReproScout maps the selected workflow, infers possible expectations, and separates confirmed technical failures from product risks and questions that need clarification. Missing rules are never presented as confirmed bugs.
Does ReproScout replace a QA engineer?
No. It adds an autonomous exploratory layer for focused execution and evidence gathering. Product judgment, release decisions, and broad quality strategy remain the team’s responsibility.
Does it need access to the source code?
No. ReproScout can test using the application URL, available documentation, and dedicated test credentials. Source context can be added later for deeper analysis.
Can it test production?
The initial product is designed for staging, preview, or dedicated test environments where it is safe to create, modify, and clean up test data.
How does it reduce false positives?
A separate verifier replays every candidate in clean browser sessions. Findings that cannot be reproduced or lack a confirmed rule or objective invariant are reported as risks or questions, not confirmed bugs.
What evidence is included?
A finding can include reproduction steps, screenshots, video, browser traces, console output, failed network requests, relevant redacted response data, severity, and confidence.
What kinds of applications are supported?
The initial focus is authenticated web SaaS applications with standard browser-based workflows.