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Building AI agents for your business

One agent, one real recurring task, under control: tools, a human approval step, logs, cost limits and a test set. Built with the OpenAI Responses API or the Claude API, in plain code.

€149one-time payment
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Read the first lesson

You can read and run short JavaScript (Node.js 20 or newer) and use a terminal. You need an API account with OpenAI or Anthropic and a payment method. A task you do at least weekly, with example cases, makes the course concrete.

Self-study course: slides, hands-on tasks and templates, at your own pace. No graded tests, no individual tutoring.

For whom

Founders, operations people and developers who want an agent to take over a real recurring task, such as sorting an inbox and drafting replies or preparing quotes, without losing control over what it does.

Where you end up

At the end one agent does a real task of yours: with defined tools, read-only access where possible, a human approval before anything leaves the house, a log of every step, a hard cost limit per run and a test set you rerun before each change.

Contents

  1. 01 · Agent or workflow?
  2. 02 · Foundations
    • Messages, structured outputs and store: false14 min
    • Tool calling and the agent loop16 min
  3. 03 · Tools and data
    • Defining tools: read-only first13 min
    • Retrieval over your own documents14 min
  4. 04 · Safety
    • Prompt injection and untrusted input13 min
    • Human approval: the agent proposes, you decide14 min
  5. 05 · Measure and run
    • Evals: a test set for your agent15 min
    • Logs, cost limits, versions and monitoring14 min
  6. 06 · Law
    • GDPR, processing agreements and the EU AI Act12 min

Material

  • Agent spec template (DE + EN)
  • Tool definition example (OpenAI and Claude format)
  • Agent loop with approval, log and cost limit (Node.js)
  • Eval test-case sheet (CSV)
  • Eval runner script (Node.js)

Fabian Faraz Farid · All courses