Decision Models
20 guides tagged “Decision Models”.
- How to Run Laya Locally: Install, First Decision, CLI, HTTP, and MCP Install Laya, run a first typed decision, use the CLI and presets, serve it over HTTP, and connect it to a coding agent over MCP.
- How to Set Up Jev in Your App (API Key, SDK, and First Decision) A step-by-step Jev setup: create a key, install the SDK, send typed questions, read confidence, and add a fallback before it touches users.
- How to Write Decision Questions for Jev and Laya A practical guide to choice, score, and noul questions: instructions, criteria, atomicity, thresholds, and the tests that catch ambiguous labels.
- Jev AI: The Complete Guide to TypeSafe's Decision Model Jev AI explained: what it is, what it returns, pricing, latency, use cases, setup, limitations, and how it compares with Laya, Clef, and OpenAI.
- Jev Images and Box Questions: What the Preview Can Do How to send images to Jev, enable the danger-zone header, use Box questions for image localization, and decide when a preview is not production-ready.
- Jev vs Laya vs Clef: Which Decision Model Should You Use? A practical comparison of Jev, Laya, Clef, and OpenAI's Decisions API: hosting, license, modality, price, latency, and when each one wins.
- Jev vs an LLM Classifier: Cost, Latency, and When to Switch A practical comparison of a decision model and an LLM classifier: contract, latency, token math, accuracy, calibration, and the hybrid pattern that works.
- Laya AI: The Complete Guide to the Open-Source Decision Model Laya AI explained: checkpoints, router, local setup, speed, cost, fine-tuning, security, and how it compares with Jev and other decision models.
- What Is a Decision Model? Jev, Laya, and Typed Answers Instead of Parsed Prose A decision model returns a typed choice, score, or yes/no probability instead of generated text. How Jev, Laya, and Clef work, and when to use one.
- Can Prompt Injection Manipulate a Decision Model? Decision models return typed labels, not text, but their state is untrusted input. How injection can steer a choice and how to defend the layer.
- How to Add a Decision Model to a Vibecoded App A practical integration pattern: choose one branch, write atomic questions, gate on confidence, keep actions in code, and roll out in shadow mode.
- How to Use Jev as an LLM Guardrail Screen LLM inputs and outputs with Jev: define hazard questions, batch them into one call, map probabilities to pass, review, block, or support.
- Jev Pricing: What a Decision Actually Costs Jev costs $0.042 per million input tokens with free output. Here is the arithmetic per decision, what makes it expensive, and how it compares with alternatives.
- Jev Use Cases: 15 Decisions Worth Replacing an LLM Call For Fifteen practical Jev use cases, grouped by workflow, with the question shape and the reason a typed decision beats an LLM call.
- How to Fine-Tune Laya on Your Own Decision Data A practical Laya fine-tuning loop: prepare CSV or JSONL, dry-run the job, train, calibrate confidence, evaluate, and serve the checkpoint.
- How to Connect Laya to a Coding Agent Over MCP Install Laya's MCP server, configure a coding agent, verify the tools, and use typed decisions for routing, triage, and guardrails.
- Laya Security: Pin Checkpoints, Verify Digests, and Protect laya-serve Secure a local Laya deployment: pin checkpoint revisions, verify SHA-256 digests, authenticate laya-serve, and treat model answers as recommendations.
- What Is Jev? TypeSafe's Decision-Only Model Explained Jev takes a state and typed questions and returns choices, scores, and yes/no probabilities. What it is good at, what it is not, and how it is priced.
- What Is Laya? The Open-Source Jev Alternative You Can Run Locally Laya is an Apache-2.0 decision engine you run on your own hardware. What its checkpoints do, how the router works, and where it trails hosted models.
- How to Evaluate a Decision Model Before You Ship It Build a labeled set, measure accuracy and calibration, choose a confidence threshold, and run shadow mode before a decision model takes action.