Understands page context
The agent uses visible interface structure and labels to propose checks that fit the surface it is testing.
AI for quality teams
An AI QA agent for web applications
Recus adds an AI testing agent to your QA workflow. It studies a web interface, drafts useful browser checks, runs them, and organizes the results into a report your team can inspect rather than a black-box score.
What Recus does
From an open browser to a report your team can act on.
Generates and executes tests
Recus moves from test ideas to browser actions, keeping the plan and execution in one workflow.
Explains the outcome
Reports connect verdicts to the actions and evidence behind them, making AI output easier to audit.
How it works
A first pass in three moves.
- 01 / 03
Share the target
Start with the URL and any access the browser session needs.
- 02 / 03
Let the agent build context
Recus examines the page, identifies likely user actions, and creates a first pass of coverage.
- 03 / 03
Review with your existing process
Use the resulting report in triage, release review, or as input for durable regression tests.
Why teams use it
More breadth. Better evidence. Human judgment stays in charge.
- 01Less time spent translating every idea into test code
- 02Readable results for QA, engineering, and product
- 03Coverage that can adapt as pages reveal new states
- 04A practical first pass before deeper specialist testing
Useful for
Where this workflow earns its keep.
Lean product teams
Add structured QA feedback when no one can manually inspect every release.
QA leads
Use the agent for breadth while the team concentrates on high-risk scenarios.
Engineering teams
Get browser-level evidence during release validation and bug triage.
Agencies
Create a consistent review artifact for client sites and handoffs.
Practical guidance
AI QA should stay inspectable
A useful AI QA system should show its work. Recus pairs each result with the browser actions and available visual evidence so reviewers can distinguish a real product issue from an ambiguous expectation.
That human-in-the-loop design is especially important for exploratory checks, where business intent cannot always be inferred from the DOM alone.
FAQ
Questions, answered.
What does an AI QA agent do?+
It interprets a web interface, proposes relevant checks, operates the browser, and summarizes findings. Recus also preserves evidence so a person can review how each result was reached.
Do I need to write test code first?+
No. Recus can create a first pass from a reachable URL. Teams can still keep scripted tests for critical, deterministic regressions.
Is AI QA only for teams without testers?+
No. It can give solo teams a safety net and give established QA teams more exploratory breadth while specialists focus on risk, domain rules, and final judgment.
Can product managers read the results?+
Recus reports are designed around findings, actions, and visual evidence rather than raw automation logs alone, making them useful across QA, engineering, and product.
Ready for a first pass?