Microlearning

Eval Academy

Fifteen short lessons on grading agent work. Learn · See · Do · Quiz. Then the boss.

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Chapter 1

Grading AI work

The core mental model

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Lesson 1

What's an eval?

The whole idea in one question

Learn · See · Do · Quiz

Lesson 2

Tasks

Small jobs you can actually check

Lesson 3

Verifiers

Binary checks, and agents that cheat

Lesson 4

Environments

Where the agent works during a test

Chapter 2

Working with evidence

Traces, failures, and trust

Lesson 5

Traces & the loop

Receipts, clusters, and the loop

Lesson 6

Error discovery

Read the data before any metric

Lesson 7

Trust & noise

Who checks the judge?

Chapter 3

Models & token economics

How the machine actually bills you

Lesson 8

Tokens & the meter

What you're actually paying for

Lesson 9

The KV cache trap

Why routing can backfire

Lesson 10

Model characteristics

How models actually differ

Lesson 11

Tools eat context

The hidden tax on every turn

Lesson 12

Suites & tradeoffs

The score never decides alone

Chapter 4

The optimizer's job

Doing this for real at Lovable

Lesson 13

How Lovable does it

The actual stack, end to end

Lesson 14

Lovable insider

Trajectories, replays, and entry points

Lesson 15

Fix the right layer

Diagnosis beats guessing

Final

Boss Quiz

21 questions · 70% to pass

Finish all 15 lessons to unlock

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