Structured Decision Flows for Teams with JevModel
JevModel is a LLM Engineering service that turns text or state into typed Choice, Score and Noul answers. Support teams use JevModel to classify incoming tickets and flag cases for human review. JevModel handles structured classification well, while open-ended generation still needs a general-purpose model.
What JevModel Does
JevModel converts a state plus focused questions into typed, application-ready answers in a single request.
Developers send text or JSON through the Playground, API or batch uploader, and JevModel returns Choice (pick one option), Score (assign a discrete level) or Noul answers that code can check directly, without parsing free-form model output. Decision Flows chain these answers on a canvas, so a single request can run a spam check, intent detection, routing and urgency scoring, with only the branches actually reached counted toward usage. JevModel keeps the Playground, batch tool and API on one shared token balance, which removes separate billing setup with a model provider.
Main Features
Choice
Choice selects one option from a list you supply, such as a support queue name or a moderation label. JevModel returns the selected value as a typed field rather than a sentence, so application code can route on it directly without string matching or a separate parsing step added to every integration.
Score
Score assigns a discrete level from a scale you define, for example lead priority from one to five. JevModel returns this as a typed number alongside the original input text, which lets sales or support systems sort, threshold or alert on records immediately after the call completes, with no extra conversion step.
Decision Flows
Decision Flows chain Choice and Score questions on a visual canvas, where each answer leads to the next question or to a final outcome. One API request runs the whole flow, and JevModel bills only the branches each item actually reaches, so a four-question flow that resolves in two steps is charged for two.
Batch Processing
Batch Processing uploads a file of texts and runs a template or custom question across every row, returning structured answers for review before a threshold goes to production. Free accounts cap uploads at 50 rows; any purchase raises the limit to 1,000 rows per upload, run in the browser while the page stays open.
Use Cases
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Route customer support requests
Support teams feed incoming tickets into JevModel’s Choice function to classify each one and flag cases that need human review. This keeps ticket triage consistent across agents and reduces manual sorting at the queue entry point.
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Check answers against evidence
Operations teams run AI-generated answers through JevModel against defined quality rubrics using Score or Choice questions. Structured results let teams spot rubric failures before an automated response reaches a customer.
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Prioritize leads
Sales teams send lead notes and customer feedback through JevModel’s Score function to rank priority on a defined scale. Typed scores let a CRM sort leads automatically instead of relying on manual review of free-text notes.
Best For / Not For
JevModel is built for teams that need typed, checkable decisions out of unstructured text rather than open-ended writing.
Support teams classifying ticket volume, operations teams auditing AI output against rubrics, and sales teams scoring leads are the named audiences. Each gets typed Choice or Score fields their existing code can act on without a parsing layer.
JevModel is not built for open-ended content generation or complex multi-step reasoning tasks, and its browser-based batch tool caps uploads at 2MB and 1,000 rows, which rules it out for large offline processing jobs.
Pricing
JevModel’s free plan gives 100,000 tokens once with 3 daily live runs, and the first paid tier, Icebreaker, costs $4.9 one-time for 8M tokens.
| Plan | Price | Included |
|---|---|---|
| Free | Free | 100,000 tokens once, 3 live runs a day, 1 saved Decision Flow, batch uploads of up to 50 rows |
| Icebreaker | $4.9 / one-time | 8M tokens, unlimited Decision Flows, 1,000-row batches |
| Starter | $9.9 / one-time | 20M tokens, unlimited Decision Flows, 1,000-row batches |
| Builder | $19.9 / one-time | 50M tokens, unlimited Decision Flows, 1,000-row batches |
| Pro | $49 / one-time | 180M tokens, unlimited Decision Flows, 1,000-row batches |
| Scale | $99 / one-time | 450M tokens, unlimited Decision Flows, 1,000-row batches |
Tokens never expire, failed requests are refunded automatically, and any purchase permanently lifts the free account’s flow and row limits.
Pricing checked 2026-10-29.
Quick Comparison
Langchain is JevModel’s main alternative for building custom decision and routing pipelines from scratch. Langchain offers a broader orchestration framework with chains, agents and connectors across many model providers. JevModel wins on typed Choice and Score outputs plus Decision Flows that bill only executed branches. Choose Langchain if a team needs a flexible framework to build bespoke multi-tool agent pipelines. Choose JevModel if the job is narrower: classify, score or route text with typed, checkable answers.
Verdict
JevModel processes typed Choice and Score decisions for support, operations and sales teams starting at $4.9 for 8M tokens on the Icebreaker pack. Decision Flows bill only executed branches, which keeps multi-step classification affordable for narrow structured-decision workloads rather than open-ended generation.
