Duku AI is now Antidote
Build fast.
Breathe easy.
Autonomous testing for the flows your business depends on.
Trusted by teams at
Someone is on the other side of every click.
Your product keeps changing. Checking that your journeys still work takes time your team can’t afford to lose.
Built to verify the outcomes that matter
Learn your context
Antidote learns the context around your business.
Signs in as each kind of user
Give Antidote a test login for each kind of user, and it explores your app as each of them.
Generate multi-user interaction
Antidote generates the interactions and flows between them.
Why teams use Antidote
Results from individual customer teams.
2×
68
<24h
How it works
Discovery
Antidote discovers your platform: the surfaces, roles and context that shape how people actually use it.
Map flows
From that context it maps the core business flows worth verifying.
Always on
As those flows change, Antidote keeps working on them. New releases and new paths stay in scope instead of falling off a one-off pass.
We do all of this without looking at your code.
Wherever you work
Learns from
Real user behaviour, so it knows where to look.
- PostHog
Sends issues to
Findings land where your team already works.
- Linear
- GitHub
- Slack
- Webhooks
Runs on
Your pipeline and your agents.
- GitHub Actions
- GitLab
- Bitbucket
- CircleCI
- Jenkins
- Buildkite
- Vercel
- Claude
- Codex
- MCP
- GraphQL
Antidote takes context from the tools your team already uses.
Questions
What does Antidote do?
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Does it work out the journeys on its own?
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Do you need access to our code?
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What evidence comes with an issue?
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How does this fit with our existing tests?
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Who sets it up, and what do you need from us?
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How is this different from Playwright or Cypress?
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Should it run on staging or production?
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How do we know a finding is real?
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Bring a journey worth checking
Start with the flow that hurts most when it breaks.
Which journey should we check first?