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Human approvals before acting

The best first automation sends nothing: it prepares drafts, explains why, and asks for permission. That way you build trust without putting the business at the mercy of an assumption.

  • Classify actions by risk before automating them.
  • Create approval flows via email, Telegram, Discord, or an internal dashboard.
  • Record who approved, what they approved, and with what context.
Terminal
low_risk:
  action: classify email
  approval: no
medium_risk:
  action: create draft for client
  approval: before sending
high_risk:
  action: change price, delete data, publish, charge
  approval: required + double confirmation

approval_log:
  user
  date
  input
  proposal
  decision
  reason
Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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