Separate participant browsers
Add a development URL and assign separate test accounts so each participant operates in an isolated browser session.
Jango
Jango is a macOS developer tool that uses AI participants in separate browser sessions to exercise multi-user web app workflows. It helps developers test chat, social, marketplace, order-book, and collaborative interactions with their own development accounts.
AI participants for multi-user web app testing
Jango is a macOS developer tool for testing web applications that require more than one account. It gives AI participants separate test accounts, browser sessions, and goals, allowing them to navigate pages, fill forms, post messages, place test orders, or update shared tasks while the developer observes the workflow.
The product is designed for development-time exploration of multi-user behavior in social apps, chat systems, marketplaces, order books, and collaborative workspaces. Developers can join a run with their own account, inspect what each participant sees, pause or redirect activity, and save a cast for a later pass after changing the app.
Capabilities for multi-user app testing
Goal-directed scenarios
Give participants roles, constraints, and goals such as posting, replying, placing an order, updating a task, or reviewing a shared state.
Live observation and control
Watch participant screens, join the app with your own account, issue new directions, pause activity, and investigate a broken interaction while it happens.
Saved casts and app memory
Save casts, login state, checkpoints, observed controls, and participant memory so recurring situations can be resumed after an app change.
Run evidence
Runs can leave activity records, observable checks, comparisons, and evidence such as whether an expected message appeared or a navigation action was completed.
Dashboard, CLI, and MCP access
Use the dashboard, launch sessions from the terminal, or connect a coding assistant through MCP while keeping the cast and its memory together.
Where Jango can be used
Chat and group messaging checks
Create a private room with separate sender and recipient accounts, then compare message delivery, replies, ordering, attribution, unread indicators, and the view available to a participant who joins late.
Social communities and feeds
Assign host, member, moderator, or newcomer roles to inspect invitations, membership states, posts, replies, private conversations, and changes in what each account can see.
Collaborative workspaces
Use owner, editor, and viewer accounts to follow invitations, task assignments, comments, role changes, and handoffs while checking whether shared state is understandable from each role’s view.
Marketplaces and sandbox order books
Run buyers and sellers through a sandbox order book or marketplace. Participants can navigate listings or order screens, submit test orders, and inspect the resulting shared state from separate accounts.
Pros and Cons
Pros
- Exercises interactions that are difficult to inspect with a single signed-in account, including invitations, replies, role changes, and shared state.
- Uses separate browser sessions for participants and lets the developer join the same workflow with a personal test account.
- Supports live inspection, manual direction, pausing, saved casts, login state, checkpoints, and run evidence.
- Runs browsers locally on the developer’s Mac and bundles Node.js and Chromium, avoiding a separate Node or Playwright installation.
Cons
- AI actions are not deterministic, so a saved scenario is a repeatable starting point rather than an exact test replay.
- It is intended to complement, not replace, deterministic assertions, load testing, API-level authorization checks, controlled concurrency testing, or real-user research.
- Support depends on the app’s browser controls; canvas-only apps, popup sign-in flows, and CAPTCHA may require a different integration.
FAQ
How do you set up a Jango test?
Jango is a macOS application for testing web apps with multiple AI participants. Add a development URL and test accounts, assign each participant a role or goal, and let them operate the app in separate browser sessions while you observe or join the run.
What can AI participants do inside an app?
Each participant can navigate pages, click controls, fill forms, select options, upload supplied images, and take actions that are available through the controls Jango can observe. Specific results depend on the app and its browser interface.
Can I participate in the same workflow as the AI participants?
Yes. You can log into the app with your own account while participants use their assigned accounts. Jango also supports directing participants, pausing activity, and inspecting their browser views.
What kinds of testing does Jango not establish?
Jango is intended for development-time exploration of multi-user workflows, not as a replacement for deterministic automated assertions, load tests, authorization tests, or research with real users. AI actions are not deterministic, and participants may miss controls or fail to follow directions.
What platform and local setup does Jango require?
Jango currently runs on macOS with Apple silicon or Intel processors. Browsers run locally on the computer, while projects, evidence, and browser checkpoints are stored in the account. Node.js and Chromium are bundled, so separate Node or Playwright installation is not required.
Quick Facts
- Category
- Developer tool for AI-assisted multi-user app testing
- Platform
- macOS on Apple silicon or Intel
- Primary users
- Developers testing web apps with multiple accounts
- App categories
- Social apps, chat apps, marketplaces, order books, and collaborative apps
- Browser execution
- Browsers run locally on the user’s computer
- Plans listed on the homepage
- Free, Pro, and Enterprise options; managed AI credits and bring-your-own-key options are described
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