Use cases
For QA & testers

Reproduce the bug. Find the cause. Verify the fix.

Work from a real browser reproduction to a fix in your existing codebase. Keep screenshots, the diagnosis, regression tests, and the verified result in one thread.

Gentlybot handles the project setup. Each thread gets its own isolated environment and running preview, so you can work without local installs or waiting for a shared environment to be fixed.

Request access See features
Capture the failing behavior in the running app.
Trace the cause in your existing codebase.
Request a fix, add regression coverage, and verify the result.

Crosstown is delivery software connected to Gentlybot. Roger, the QA tester, captures a broken order filter, traces the cause, and asks for a fix with regression coverage. The live preview verifies ten orders become three, then ten again.

Crosstown is a fictional delivery app. These are real Gentlybot interactions, with AI-edited voice and video.

The request and the working result

Verify both the filtered state and the way back.

QA tester prompts

Verify both the filtered state and the way back.

Task prompt

Fix it. Add regression coverage, then verify in the browser that only the three problem orders remain and switching back restores all ten.

Result: Two regression tests pass. The browser confirms ten orders become three problem orders, then restores all ten.

The problems-only filter still includes clean orders.

QA tester prompts

The problems-only filter still includes clean orders.

Task prompt

The Show problems only filter still shows clean orders. Reproduce this in the browser and explain why it happens. Capture the evidence before changing anything.

Result: The browser capture preserves the incorrect state before the fix.

Trace the visible behavior to the condition in the existing code.

QA tester prompts

Trace the visible behavior to the condition in the existing code.

Task prompt

The Show problems only filter still shows clean orders. Reproduce this in the browser and explain why it happens. Capture the evidence before changing anything.

Result: The filter tests the problems array itself. An empty array passes that condition, so clean orders remain.
Where momentum gets lost

Keep the questions, decisions, and working result together so the team can move forward.

  1. Setting up an environment on the right branch to repro is slow and flaky.

  2. Test plans live in a doc; nobody executes them consistently.

  3. Manual smoke tests don’t run on every PR, so regressions slip through.

What you can do

Generate test plans

A plan built from the real feature — happy path plus the edge cases.

Execute on the real app

Run the plan on a live sandbox and capture screenshots + video of failures.

Bug or expected?

Settle it from the real code instead of escalating to engineering.

PR test gate

Every PR runs the plan; failing tests are fed back and fixed automatically.

Test plans Live sandbox Browser capture Test gate Auto-fix CI
Gentlybot for every team
Product managers
From a clear outcome to a working preview, with the decisions in the same thread.
Designers
Wireframes, annotations, and a working preview in one shared thread.
Engineering
Implement to a verified PR, then auto-fix CI and address review comments.
Operations
Jira/cron triggers, auto-triage, and internal scripts as PRs.

Start with questions. Grow into plans, previews, tests, and pull requests when your team is ready.

Request access