Decision testing
Create and regression-test conversational decisions powered by Jev, with an emphasis on checking behavior over time.
Jev State
Jev State helps developers build and regression-test Jev-powered conversational decisions, inspect multi-turn conversations, and export runnable TypeScript for apps.
Conversational decision testing and code export
Jev State is a development tool for building and regression-testing conversational decisions powered by Jev. It focuses on turning defined conversational behavior into something that can be examined through conversations and checked as it changes.
The homepage presents a workflow that moves from an editable example or defined behavior to conversation inspection and downloadable runnable TypeScript. This makes the product relevant to teams working on multi-turn support, onboarding, or lead-qualification flows, although the available site content does not detail setup, integrations, or deployment requirements.
Features
Behavior definition
Set the intended behavior for a conversational decision before using it in an application.
Conversation inspection
Review conversations to examine how a decision behaves across turns and identify issues in the interaction.
TypeScript export
Download runnable TypeScript so the tested decision can be brought into an app as code.
Editable examples
Start from editable examples covering support, onboarding, and qualification workflows rather than beginning with a blank scenario.
Use cases
Support conversation flows
Model a support interaction that routes an issue, works through the conversation across multiple turns, and confirms resolution.
Product onboarding
Guide a user from an initial product question through the steps needed to complete setup, using the onboarding example as a starting point.
Lead qualification
Collect a prospect’s intent and direct qualified prospects to the appropriate next step in a lead-qualification flow.
Behavior regression checks
Review an existing conversational decision after changes and use regression testing to check whether its behavior still matches the intended flow.
Pros and Cons
Pros
- Combines conversational decision design with regression testing in one workflow.
- Includes conversation inspection for reviewing multi-turn behavior.
- Exports runnable TypeScript for application use.
- Provides editable starting examples for support, onboarding, and lead qualification scenarios.
Cons
- The available public content does not explain pricing, integrations, supported frameworks, setup steps, or deployment requirements.
- The site presents example workflows but provides limited detail about testing controls, collaboration features, and runtime behavior.
FAQ
What is Jev State used for?
Jev State is presented as a tool for building and regression-testing conversational decisions powered by Jev. The site does not provide detailed setup instructions in the available content.
What does the workflow produce?
The homepage describes a workflow for defining conversational behavior, inspecting conversations, and downloading runnable TypeScript for use in an app.
Which integrations or runtimes does Jev State support?
The available site content identifies runnable TypeScript as an output, but does not specify supported frameworks, integrations, or deployment requirements.
What kinds of conversational decisions can be modeled?
The homepage provides editable examples for support conversations, product onboarding, and lead qualification. These examples can be used as starting points for the corresponding decision flows.
Quick Facts
- Category
- Developer Tool
- Primary focus
- Conversational decision testing
- Workflow
- Define behavior, inspect conversations, and export code
- Output
- Runnable TypeScript
- Example scenarios
- Support, product onboarding, and lead qualification
- Website
- jev-state.vercel.app
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