AgentTwin
DashboardRead the docsTry AgentTwin

Test production conditions.
Find what breaks before you ship.

Give your application or AI agent a safe replica.
Run the workflow, introduce failures, and inspect the result.

Explore the demo Book a call
AgentTwin workspace showing connected services, synthetic data, and safe replica settings
Payment services +
Communication tools +
Databases and state +
One connected test world

Real production conditions.
A safe place to get it wrong.

Reproduce the environment your code depends on. Test the next change, follow every side effect, and learn before your users do.

Explore the demo

Interactive prototype. Synthetic data. No live systems connected.

01

Replicate the environment

Relevant services, configuration, and state in one disposable test world.

02

Run the real workflow

The product goal: exercise your application or agent against repeatable conditions.

03

Make failure happen

Explore timeouts, duplicate events, changed permissions, and partial writes.

04

Inspect, fix, and rerun

See what changed. Restore the baseline. Keep the failure as a regression.

Built for the change you’re about to trust.
One repeatable testing workflow.

Create a replica

Your environment, made explicit. Map the services, state, and configuration your workflow needs.

  • Review the relevant dependencies
  • Start from synthetic records
  • Keep production untouched
See the fidelity contract
AgentTwin replica setup with Slack, HubSpot, Stripe, Linear, Gmail, and isolated test settings
Current browser prototype

Run your workflow

The same change. A safer world. Explore a function, release, or agent against a repeatable starting state.

  • Choose the workflow to exercise
  • Define the expected outcome
  • Follow the calls and state changes
Walk through a run
AgentTwin workflow run screen showing the test input and expected outcome
Scripted run with synthetic data

Introduce failures

Make the edge case show up. Lose a response after a write, delay an event, or expire a permission.

  • Test beyond happy-path responses
  • Choose when the failure happens
  • Check whether retries are safe
Explore failure conditions
AgentTwin failure controls for timeouts, duplicate events, and permissions
Illustrative failure controls

Inspect and rerun

See the cause. Keep the lesson. Follow the failed assertion and state difference, then rerun the same scenario.

  • Inspect the final world state
  • Understand the causal timeline
  • Reset to the same baseline
Try the complete journey
AgentTwin diagnosis screen with the failed assertion, state differences, and recovery preview
Scripted diagnosis and recovery preview

The prototype demonstrates this journey with scripted outcomes. Live discovery, provider twins, and customer-code execution are planned.

Your production. A safe replica.
The whole workflow, in one place.

AgentTwin workspace showing a synthetic Pylon environment and replica settings

Shared context. Connected services represent one world.

Controlled failures. Exercise the condition you need.

Visible outcomes. Inspect what actually changed.

Repeatable runs. Restore the starting state.

A successful response is only half the story.
Test the state your workflow leaves behind.

Illustrative refund scenario

Refund createdProvider commits the write

200

Response receivedWorker records the result

OK

One refund existsExpected final state

Retries with consequences. A write can succeed even when its response never arrives.

Webhook delayedPayment state has already changed

Event delivered twiceThe same action, a second time

Permission expiredAccess changes during the run

Conditions that change. Delayed events, duplicate delivery, and permissions that expire at the wrong moment.

Read the first scenario
Replica coverage

Configuration captured

Behavior modeled

Unknowns visible

Proposed fidelity contract

Limits made explicit. Every replica should say what is supported, verified, and still unknown.

Read the fidelity contract

Failure families describe the product direction. Current outcomes are scripted; provider fidelity is not yet verified.

The services your application depends on.
Room to test how they fail together.

Explore the roadmap
StripeSlackGitHubPostgreSQLAWSHubSpotNotionShopifyLinearOpenAISupabaseDatadog

Potential integrations, not live connectors or customer endorsements.

Illustrative worlds

Any of these companies could subscribe.
If one did, this is the environment we’d replicate for them.

Pylon

B2B support agent
Illustrative

Explore a B2B support workflow with a synthetic environment.

Explore the world in the prototype

Example dependencies

    Workflows to exercise

      These companies are potential customer examples, not customers or partners. Stacks, records, and incidents are invented for demonstration.

      For the change you’re about to trust.
      Applications, agents, and the next release.

      Ship the integration.

      Exercise the path from a request to the database, provider, and notification. Catch partial completion across services.

      A billing change that retries safely.

      Test the action.

      Inspect what an agent changed. Did it create the right record, respect the policy, and stop at the right time?

      A support agent that refunds once.

      Keep the lesson.

      Turn an incident into a repeatable scenario with the starting state, injected fault, and expected outcome.

      A regression test for the next release.

      Start with the failure
      you need to catch.

      Proposed pricing direction.
      No checkout or paid product today.

      Free core

      For individual exploration

      $0proposed
      Try the browser demo
      • Local scenario authoring
      • Synthetic fixtures
      • Basic failure replay
      Pricing hypothesis

      Pro

      For developers testing integrations

      $29/ developer / month
      See the roadmap
      • Everything in Free core
      • Managed provider twins
      • Verified fault scenarios
      • Run history and state diffs
      • Saved regression evidence

      Team

      For shared testing workflows

      Let’s talkpricing to be determined
      Book a call
      • Shared scenario library
      • Team controls
      • CI integration

      These tiers are hypotheses, not plans for sale. Listed capabilities are planned. Read the pricing direction ↗

      Questions, answered

      A few things, up front.
      Start with what’s real today.

      Can I connect my production environment today?

      Not yet. The prototype demonstrates the complete journey with synthetic data. Real discovery connectors, isolated execution, and provider twins are planned.

      Does AgentTwin copy an entire production system?

      The goal is to reproduce the relevant slice of an environment for a workflow. A replica must declare its supported behavior and unknowns. It cannot guarantee that every production condition is reproduced.

      How is this different from mocks or staging?

      Mocks can model failures, and staging can reproduce infrastructure. AgentTwin’s hypothesis is that packaging configuration, stateful service behavior, fault injection, and repeatable evidence together makes this easier to maintain. That advantage still needs validation.

      What happens to credentials and customer data?

      The browser demo never asks for credentials or sends provider requests. The planned product uses sanitized fixtures and separate test credentials. Data handling and execution isolation must be verified before real connections are enabled.

      Who is the first version for?

      Developers and small teams building API integrations. The first proposed implementation focuses on a Stripe write that succeeds before its response times out, so retries can be tested against the final state.

      StripeSlackGitHubPostgreSQLAgentTwinHubSpotLinearNotionAWS

      Give your agent a test world
      before it touches the real one.

      Book a call Explore the demo