Model the decision
Separate state, question, judgment and application action.
JEV · AI DECISION SYSTEMS
Use Jev as a fast decision layer inside software and agents.
Master Choice, Score, Noul, confidence thresholds, batching and production patterns for typed AI judgments.
₹399.00one-time purchase
✓Choice
✓Score
✓Noul
✓Confidence
✓Agent routing
Secure Razorpay checkout•Digital access after successful payment•No recurring course subscription
8structured modules
Self-pacedwork through it on your schedule
2026current AdRunbook edition
One-timeno recurring course subscription
WHAT YOU WILL BUILD
Designed around outcomes, not hours watched.
Each section exists to move you toward a clearer decision, stronger asset or more repeatable workflow.
Pick the primitive
Use Choice, Score or Noul based on the next line of code.
Use uncertainty
Route low-confidence cases instead of forcing automation.
Ship safely
Evaluate, log, gate and production-harden decision workflows.
WHO IT IS FOR
Built for people who want to execute.
This course is a practical fit when your goal looks like one of these situations.
AI builders and agent developers
Use the course as a structured operating guide, then adapt the workflow to your own market, offer and tools.
Automation freelancers using n8n or custom code
Use the course as a structured operating guide, then adapt the workflow to your own market, offer and tools.
Founders building AI-enabled products
Use the course as a structured operating guide, then adapt the workflow to your own market, offer and tools.
Developers who need fast bounded model judgments
Use the course as a structured operating guide, then adapt the workflow to your own market, offer and tools.
COURSE INDEX
See the full learning path before you buy.
Every module is structured around a real decision or workflow. Expand any module below to preview the subtopics included inside.
01
The Jev Mental ModelThink in state → question → judgment → code action.
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Think in state → question → judgment → code action.
When Jev fitsWhen ordinary code fitsWhen an LLM fits better
02
Setup and First RequestMove from Playground testing to a server-side API call.
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Move from Playground testing to a server-side API call.
Playground workflowAPI key safetyMinimal request shape
03
Design Decision-Ready StateGive Jev only the evidence needed for the judgment.
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Give Jev only the evidence needed for the judgment.
Structured stateRelevant context onlyReferencing fields
04
Master Choice, Score and NoulPick the primitive that maps directly to the next action.
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Pick the primitive that maps directly to the next action.
Choice for routingScore for ordered levelsNoul for yes/no probability
05
Use Confidence ProfessionallyTreat uncertainty as a workflow signal.
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Treat uncertainty as a workflow signal.
High / medium / low confidence lanesRisk-based thresholdsHuman review paths
06
Batch Independent QuestionsAsk multiple judgments against one state when they do not depend on each other.
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Ask multiple judgments against one state when they do not depend on each other.
Parallel decision designLatency reductionAvoiding unnecessary chains
07
Pair Jev With LLMs and AgentsSeparate bounded decisions from open-ended generation.
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Separate bounded decisions from open-ended generation.
Tool routingVerification gatesModel routing
08
Production HardeningEvaluate, log, gate and monitor the workflow before scaling it.
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Evaluate, log, gate and monitor the workflow before scaling it.
Evaluation setFallbacksLogging and authorization boundaries
SAMPLE COURSE EXPERIENCE
What a lesson inside AdRunbook looks like.
MODULE 01
The Jev Mental Model
Think in state → question → judgment → code action.
- When Jev fits
- When ordinary code fits
- When an LLM fits better
Action step
Apply the lesson to your own situation, make one decision, and save the result before moving to the next module.
WHAT YOU GET
A course designed to stay useful while you work.
The goal is to give you a repeatable operating reference — not a long video library you forget after watching.
Structured modules
A clear order so you know what to learn first and what depends on what.
Action steps
Each module points toward a concrete decision, output or workflow to complete.
Practical checklists
Use concise checkpoints to avoid missing important setup, review or quality steps.
Implementation path
Turn the ideas into a working system instead of stopping at theory.
FAQ
Before you buy.
Clear answers about access, format and expectations.
How do I access this course?
After successful payment, use the AdRunbook account associated with your purchase to access the course.
Is this a subscription?
No. The price shown on this page is a one-time purchase for the current edition offered at checkout.
Is the course video-based?
The course is designed as a structured practical learning system with written modules, action steps, checklists and implementation guidance.
Does buying the course guarantee results?
No. The course is educational. Results depend on your market, skill, offer, budget, implementation and other factors outside AdRunbook's control.
CLEAR EXPECTATIONS
Practical education, not a guaranteed outcome.
AdRunbook courses are educational products. Results depend on your market, skill, offer, budget, implementation and other factors outside the course. Platform features, pricing and requirements can also change over time.