Build decision workflows with Jev API, powered by TypeSafe AI's first System One model. Classify incoming requests, evaluate content, and select the next step using typed answers. Jev API connects contextual judgment with the rules you control in code. Give your application focused questions, inspect uncertainty, and decide when to automate or request review. Start with one practical decision and expand as your evaluation results support it.
Explore Jev API for focused decisions across support, content operations, and agent workflows. Begin with a measurable task and examples that represent real traffic.
Use Jev API where software needs a clear decision: a category, a rating, or a yes/no probability. Design the available outcomes around your application.
Jev API returns typed results for defined questions. Route a ticket to a supported department or map a product to an existing category. Your application receives a bounded answer that fits the decision you specified.
Ask about intent, urgency, and sentiment together through Jev API. Questions run independently and in parallel against the same state. This structure lets you collect several decision signals without constructing a separate conversation for each one.
Jev API exposes probabilities, with additional confidence values for Choice and Score. Set review thresholds in code, examine ambiguous cases, and adjust your workflow based on observed performance. A confidence estimate is a signal, not proof of correctness.
Use Jev API to select a handler while your existing services carry out the work. Keep generation with a language model and calculations in code. This separation makes it easier to test each decision and understand where improvements are needed.
Plan a Jev API workflow around four steps: define the decision, prepare relevant context, submit typed questions, and evaluate the results.
Choose one focused task for Jev API, such as identifying a support category. Define valid outcomes and write down how you will judge success. Use Choice for categories, Score for ordered levels, or Noul for a yes/no question.
Give Jev API the relevant text or structured record as state. Keep useful context together and remove unrelated material. Describe category boundaries explicitly so the question matches the decision your application actually needs.
For direct TypeSafe access, call POST https://api.typesafe.ai/v1/systemone with Bearer authentication and the model, state, and questions fields. The official Jev API quickstart uses jev-latest. Keep your key on the server and follow your chosen provider’s configuration.
Read Jev API answers under the question IDs you supplied. Test clear, ambiguous, and exceptional inputs. Set routing thresholds, handle failed requests, and log the returned model version before expanding the workflow to more traffic.
Fictional testimonial-style examples for Jev API use cases. These names, roles, and statements are illustrative placeholders, not verified customer endorsements.
For my integration, I would use Jev API to map incoming requests to supported handlers. Explicit categories would let me keep the routing logic readable and test each branch independently.
I would evaluate Jev API on our historical tickets before changing assignment rules. My priority would be identifying ambiguous requests and keeping those cases visible to the support team.
Jev API would fit a review queue where relevance and completeness need separate scores. I would define the rubric with editors, compare judgments, and tune the combined ranking in code.
I would place Jev API at a specific decision point, such as selecting the next specialist. The agent would still need its own tools, execution logic, and checks around each action.
I would test Jev API for assigning product descriptions to our existing catalog categories. Clear definitions and a review route for unusual items would matter more to me than adding more labels.
My first Jev API project would target one repetitive classification task. I would measure decision quality, review volume, and operating cost before expanding to additional workflows.
Find answers about Jev API capabilities, integration, pricing, and practical limits.
Jev API is an interface to Jev, TypeSafe AI’s System One model for structured decisions. Supply application context and typed questions to receive choices, scores, or yes/no probabilities that your software can use.
Start with a task your team can measure. Define the outcomes, test realistic examples, and connect the results to your application. Explore Jev API for classification, routing, and scoring, then grow your automation around evidence from your own workflow.
