Jev implementation
Give your agent a structured decision layer.
Integrate TypeSafe AI’s Jev into routing, classification and evaluation. The result feeds a defined branch in your application or agent harness.
Jev Decision Integration
A tested Jev integration for a specific decision in your system.
For teams choosing a model, classifying requests, reviewing agent output or deciding when a workflow needs escalation.
Show us where your system makes a repeated decision and what should happen next.
What you receive
- A defined decision schema and representative test examples
- Jev API or supported LangChain integration in the application or harness
- Thresholds, routing branches and fallback behavior
- Evaluation results and documentation for maintaining the integration
We agree the deliverables, timeline and project price in writing before work begins.
Your context
Jev decision
Threshold check
Route or review
Where it fits.
Model and task routing
Classify an incoming task and use the result to select the next model, worker or workflow branch.
Classification and prioritization
Turn context into typed decisions your software can act on, such as request category, priority or whether a review is needed.
Agent evaluation
Apply defined criteria to agent output or traces. Compare the decisions with reviewed examples before using the results to control a workflow.
Thresholds and fallback
Define how confidence affects the next action and what happens when the result is uncertain or the provider is unavailable.
Technology background: LangChain’s guide to Jev and Jev agent evaluation. These explain the technology; they are not endorsements of Fortitudo.
Built, connected and checked.
01
Choose the decision and define the possible results.
02
Prepare examples and review the expected decisions.
03
Connect Jev and implement thresholds and fallback paths.
04
Evaluate the integration and document the operating tradeoffs.
The handover has to demonstrate
- Responses are parsed into the agreed decision schema.
- Reviewed examples exercise each route and uncertainty path.
- Provider errors and low-confidence outcomes reach the defined fallback.
What determines the scope
Number of decisions. Harness or application integration. Test data and evaluation depth.
Jev returns structured decisions rather than generated text or media. We measure suitability on your examples; vendor speed and cost claims are not a project guarantee.
Take the scope with you.
Representative inputs, expected decisions, application access and a TypeSafe AI account with the required access.
Read the service pitch →Before we begin.
Scope, price, ownership and what happens after launch.
No. TypeSafe AI’s Jev returns typed decisions and probabilities. It complements the models handling open-ended reasoning or generation.
Bring us the task.
We will define the implementation and give you a written proposal.