Break your agents here, not in prod.
A simulated company built from stateful twins of the tools your agent works in. Everything production has, except the consequences. Run a task twenty times from the same starting state and get a graded report on every run.
Testing a mobile app instead? Drizz runs it on real devices →
Trusted by AI and mobile teams at
- Glean
- Sarvam
- Flexprice
- Von
- Tata 1mg
- Porter
- Dashverse
- DriveU
Your agent passed once. That isn’t the same as working.
Agents now write to real CRMs, inboxes and ticket queues. One lucky run proves nothing, and production is the only place most teams can find out.
Same task, different result
A run that passes today fails tomorrow on the same input. Single pass/fail tests turn flaky, and teams quietly switch them off.
Nowhere safe to practise
Live tools send real emails and change real deals. Mocks are too clean, and vendor sandboxes are empty, capped and slow to reset.
“Done” isn’t proof
The agent says the deal is renewed. Did the amount change? Only the state left behind in the tools can tell you.
The problem isn’t your agent. It’s that it only ever gets one run, and that run is in production.
See how twins fix this →The tools your agent already uses, rebuilt for testing.
A twin keeps the real tool’s API, MCP tools, sign-in and rules, and runs on its own data. Together they form one company: the same people, deals and history in every tool.
Each twin has its own page, and the twins page explains how they work together.
Five steps, in one straight line, ending in a report.
Point your agent at the twins, say what success means, and let it run. Every run is graded on what actually changed, not on what the agent said.
Point your agent at the twins
Swap the live tool’s address for the twin’s. Your agent runs unchanged.
Describe the conditions
The problem, the company it happens in, and what counts as success.
Your agent runs
It works through the task in the twins, as many times as you set.
Graded on what changed
Each run is checked against your conditions, from the state left in the twins.
Get the report
The pass rate across every run, with every call, response and change.
The report is yours. Fix the agent, compare models, share it with a customer’s security team, or use the runs to train.
Twins vs mocks vs sandboxes
Three ways to give an agent something to work in. Only one behaves like the real tool and resets like a test.
| Area | MocksStubs you write by hand | Vendor sandboxesThe vendor’s own dev org | Drizz twinsA stateful copy of the tool |
|---|---|---|---|
| Keeps state across steps | No | Yes | Yes |
| Real errors and rules | Only what you code | Yes | Yes |
| Connected across tools | No | No | One company, every twin |
| Reset between runs | Nothing to reset | Slow or manual | One call |
| Licences and limits | None | Paid org per tool, shared limits | None per tool, private |
| Graded report per run | No | No | Yes |
Testing a mobile app? Drizz does that too.
Describe a flow in plain English. Drizz writes the test, runs it on real iPhones and Androids, and fixes it when your UI changes. Every step shown, every change yours to approve.
- Author tests in minutesConnect your app, write tests in plain English.
- Self-healing automationBroken steps fix themselves when the UI changes.
- Real devices in your pipelineCI/CD on real iPhones and Androids, zero flaky failures.
- One platformApps, suites and runs together, with history across teams.
No production data. No real consequences.
Twins run on their own seeded data, so customer records never enter a test and nothing an agent does reaches a real account. Built for financial services, healthcare and other regulated teams.
- Private twins per team, reset to a known state in one call
- Synthetic, seeded data, with no connection to your production tenants
- Full history of every run, ready for a security review
- SOC 2Type II
- GDPRCompliant
- HIPAAReady
- PCI DSSCompliant
17 of 20 runs passed. 3 broke a rule.