AI Engineering, Explained by Magic

AI Engineering, Explained by Magic is a free interactive infographic that maps the seven stages of AI engineering - from a first LLM call to system design - onto seven spells, so the progression is easy to hold in your head.

The gap between calling an API and engineering an AI system is seven distinct skills, not one. This walkthrough names each of them and shows where they sit relative to each other.

Open AI Engineering, Explained by Magic on Testing Titbits Playground · 3-5 min · AI · Free, no sign-up

How to read it

1. Start at the first spell - a plain LLM call.
2. Follow the map through prompting, context, tools and evaluation.
3. Each spell adds one capability and one new failure mode.
4. Finish at system design, where the earlier seven combine.

What you will learn

• The seven layers of AI engineering and their order.
• Which failure modes appear at which layer.
• Where testing fits into each stage.
• A shared vocabulary for talking about AI systems with engineers.

Frequently asked questions

What is AI engineering?

AI engineering is the practice of building reliable systems on top of models you did not train: prompting, context assembly, tool use, retrieval, evaluation, guardrails and the system design that holds them together.

Who is this infographic for?

Testers, engineers and anyone who has made a few LLM calls and wants the map of what comes next.

How long does it take?

Three to five minutes to walk through.

More free games and infographics for testers

• Context Handoff
• Deep Context
• The Number
• Context Matters
• Guard Rails
• Bug Hunter
• Testing Emoji Charades
• AI Readiness Test
• Bug Maze
• Break the Field
• Exploratory Testing Dice
• The Tech Divide
• Context Travel
• The Context Paradox
• Tokens, Explained
• How GenAI Works
• Loops at Work
• All games on Testing Titbits Playground
• Global leaderboard

Created by Rahul Parwal · TestingTitbits.com