Natural-language behavior definition
Describe the decisions an agent should make in natural language before testing the workflow.
Jev State
Freemium
Jev State is a workspace for defining, testing, and regression-checking conversational decisions powered by Jev. It helps teams inspect why an agent takes a step and export runnable TypeScript and tests for an application.
What is Jev State?
Jev State is a workspace for defining and regression-testing conversational decisions powered by Jev. It lets users describe intended agent behavior, reproduce conversations, inspect the choice and criteria behind a next step, and save conversations as tests.
The workflow runs from definition to implementation: create or copy a project, try decisions, check changes against saved conversations, and leave with runnable TypeScript and tests for an application. The workspace is saved on the device and can be exported for backup or transfer.
Live usage requires a connected TypeSafe account and is billed by the provider. Optional simulation is available for checking wiring without a key. The site does not provide evidence of specific pricing rates, plan limits, integrations beyond the TypeSafe connection, team workspaces, or generated-code runtime assumptions.
What can Jev State do?
Conversation inspection
Reproduce a conversation and inspect the selected next step, the criteria used, and the reported confidence.
Regression tests from conversations
Save a conversation as a regression test so a later change can be checked against an existing decision path.
Runnable TypeScript and tests
Take a completed workflow out of the workspace as runnable TypeScript and tests for use in an app.
Editable workflow examples
Start from sample projects for support conversations, product onboarding, or lead qualification, then customize the selected example.
Workspace backup and restore
Keep projects saved on the device and export the workspace to move or back up project data.
Use Cases
“Support routing”
Model a support conversation that routes an issue, works through multiple turns, and confirms resolution.
“Product onboarding”
Design an onboarding flow that guides a user from an initial question through a completed setup.
“Lead qualification”
Capture a prospect’s intent in conversation and send a qualified lead to the appropriate next step.
“Decision-change regression testing”
Reproduce a conversation after changing agent behavior, compare the resulting decision with the expected path, and preserve the interaction as a test.
Frequently Asked Questions
What does Jev State help test?
It helps test conversational decisions: users define desired agent behavior, run or reproduce conversations, inspect the next-step choice and criteria, and check changes against saved regression tests.
What can I export from Jev State?
The site says completed workflows can produce runnable TypeScript and tests for an app. It also provides workspace export for moving or backing up projects.
Is a provider account required?
Live Jev usage requires connecting a TypeSafe account, and live usage is billed by the provider. The site also describes optional simulation that does not need a key.
Can I start without creating a workflow from scratch?
Yes. Jev State provides editable sample workflows for support conversations, product onboarding, and lead qualification. These are starting templates, not the user’s projects.
Where is workspace data saved?
The site describes the workspace as saved on the device and provides export and restore actions for backup or moving projects. It does not specify broader team or cloud-collaboration behavior.
Quick Facts
- Product type
- Conversational decision testing workspace
- Primary workflow
- Define behavior → try decisions → test regressions → get code
- Live connection
- TypeSafe account
- Simulation
- Optional; no key required
- Workspace storage
- Saved on the device
- Source domain
- jev-state.vercel.app
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