What is agentic AI?

02 · See it in action

Follow the steps

1. Write the desired outcome and list all allowed actions.
2. Draw the simplest fixed sequence that could achieve it.
3. Identify only the decisions that truly require flexible planning.
4. Add limits, validation and a stop condition around those decisions.

Worked example

Fixed flow: extract fields -> validate -> create draft -> human review
Agentic choice: choose which approved source to search when a field is missing
Stop: after 3 searches or when required evidence is found

Read the example once, then explain each part aloud in your own words. If it includes Python, you can understand the idea first and run the code later in a local Python environment. Code is shown as text; this page does not execute it.

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