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Practical AI Track 5 · Building with AI
0/75 lessons read
BUILDING WITH AI · LESSON 8

The big picture

Ask Acme started as a short script. Now it is a full system. Your goal: follow one question from Maya through it.

MayabrowserBackendPromptsRetrievalPatternAgent harnessOutput guardkey stays herehistory · retriestemplates in gitschema · evalshybrid searchcited chunksroute, then chainagent for the restnarrow toolsbudgets · approvalsescape · no remoteimages · quotasRunning it: traces · p95 latency · cost per task · online evals · canary releasesanswer, streamed back to Maya
Figure — The model is one box. The feature is all of them. Each lesson built one step. The bar below lets you watch every step after launch.
Key points
  • The model is the smallest part. Most fixes are in your own code.
  • Everything the model reads or writes is untrusted. Put the limits outside the model.
  • Measure before and after every change.
  • Use the least freedom that works. Each extra step adds cost, delay and errors.

One question, start to finish

Maya types: "I paid twice by UPI for order 6021. Can you fix it?" Her browser sends only that message.

  • Your first AI feature: the backend checks that she is signed in and under her quota. It adds the key and the saved chat.
  • Prompts as code: each prompt is a file in git, with a version, a schema and an eval.
  • Agent design patterns: a small model sends the message to the billing path. Only unusual cases go to Kai, the agent.
  • Build retrieval that works: search finds the double-charge policy. The answer must cite the parts it used.
  • Build an agent: no money moves before Maya says "yes". Kai gets her identity from the session. His runs have a step limit and a budget.
  • Ship safely: an output guard cleans the reply and blocks outside images. The chat says it is AI and offers a person.
  • Run AI in production: every step lands in a trace. A new model version goes to a few users first.
Go deeper: where these ideas go next

Much of this rests on identity. Who is the user? What may the agent do for them? The Identity & API Security program covers this:

In this program, look again at Prompt injection before a launch. Also read AI rules at work.

Go deeper: free courses to keep learning

These free courses were good next steps as of October 2026:

  • Claude Academy: courses from Anthropic on how AI works and how to build with Claude.
  • Elements of AI: a free intro for non-experts, from the University of Helsinki and MinnaLearn. It needs no programming.
  • Hugging Face LLM Course: how the models work, in code, with open models.

Ready? The cheat sheet & pop quiz is next.