Blog

Stop burning tokens on dead ends

What Evals Are, and Where They Fall Short

Guide

LLM Evals: The Complete Guide to What They Measure (and What They Miss)

2,183 words
Article

Eval Drift: Why Yesterday's Passing Score Fails Today

1,330 words
Article

How Often Should You Re-Run Evals on a Production Agent?

1,266 words
Article

The Limits of Static Benchmarks for Production Agents

1,179 words
Article

What Is an LLM Eval, Really?

1,529 words
Article

Why a 95% Eval Score Doesn't Mean 95% Reliability

1,373 words

Classifiers for Model Behavior

Guide

Classifiers for Model Behavior: A Practical Guide

700 words
Article

Build vs. Buy: Should You Train Your Own Run Classifier?

1,564 words
Article

Early-Stopping Signals for Long-Running Agents

1,525 words
Article

How to Predict a Model Run's Outcome From Its First 50 Tokens

1,589 words
Article

Logprob, Entropy, Margin: The Signals a Classifier Actually Reads

1,392 words
Article

Why Model Confidence Scores Alone Aren't Enough to Trust

1,222 words

Routers / Model Routing

Guide

Cost-Aware Model Routing, Explained

1,960 words
Article

Model Routing vs. Model Selection: What's the Difference?

1,369 words
Article

Multi-Model Fallback Strategies for Production AI

1,464 words
Article

Routing by Task Difficulty Instead of Task Type

1,528 words
Article

The Latency Cost of Routing Decisions (and How to Hide It)

1,476 words
Article

When to Route Down to a Cheaper Model Mid-Run

1,457 words

Controllers / Agent Harnesses

Guide

What an Agent Harness Actually Controls

2,207 words
Article

Agent Harness vs. Orchestration Framework: Where's the Line?

1,286 words
Article

Kill Switches for Runaway Agent Loops

1,488 words
Article

Setting Per-Run Budget Caps Without Breaking the Task

1,334 words
Article

What to Log at the Controller Layer (and What's Noise)

1,534 words
Article

When a Kill Decision Should Go to a Human, Not the Controller

1,459 words

Token Economics / AI Spend

Guide

Where Enterprise AI Budgets Actually Go

2,028 words
Article

How to Actually Measure ROI on Agent API Spend

1,517 words
Article

The Cost of Letting a Dead-End Run Finish

1,586 words
Article

The Hidden Cost of Agent Retries Nobody Budgets For

1,346 words
Article

Token Spend per Employee: What's Normal in 2026?

1,594 words
Article

Why Top-Tier AI Spenders Waste the Same 67% as Everyone Else

1,554 words

X vs. Evals

Guide

Static Benchmarks vs. Live Classification: A Head-to-Head

1,870 words
Article

Guardrails vs. Classifiers: Different Jobs, Often Confused

1,347 words
Article

Manual QA vs. Automated Run Classification

1,643 words
Article

Prompt Engineering vs. Model Routing for Cost Control

1,494 words
Article

Response Caching vs. Model Routing: Which Cuts Cost Faster?

1,564 words
Article

Single-Model vs. Multi-Model Stacks: Choosing for Cost and Reliability

1,571 words

Glossary

Guide

The Melmac AI Glossary: Evals, Classifiers, Routers, and Agent Harnesses Defined

1,546 words
Article

What Is a "Dead-End Run" in an AI Agent?

1,182 words
Article

What Is an Agent Harness?

1,469 words
Article

What Is an LLM Classifier?

1,231 words
Article

What Is Early Stopping in AI Agents?

1,230 words
Article

What Is Model Routing?

1,379 words
Article

What Is Token Economics?

1,614 words