Sitemap
Kiran Hayat Data Scientist

Kiran Hayat Data Scientist

Data Scientist I work with data and build projects using AI and machine learning.

Member-only story

What Happens From Goal to Completion? Understanding the Agentic AI Lifecycle

12 min readSep 25, 2026

Imagine telling an AI agent:

“Find five recent research papers about Agentic AI and prepare a comparison report.”

You provide only the goal.

But behind that simple instruction, many things may need to happen.

The agent needs to understand what you want.

It may need to create a plan.

It needs information from its environment.

It may need to search for papers.

It needs to evaluate the results.

It must decide which papers are relevant.

It may need to use different tools.

It needs to remember what has already been completed.

If something goes wrong, it may need to change its approach.

Finally, it needs to determine:

“Have I actually completed the goal?”

This entire journey can be understood as an Agentic AI Lifecycle.

Let’s explore it step by step.

Press enter or click to view image in full size

What Is the Agentic AI Lifecycle?

The Agentic AI Lifecycle describes the sequence of activities an AI agent goes through…

--

--

Kiran Hayat Data Scientist
Kiran Hayat Data Scientist

Written by Kiran Hayat Data Scientist

Data Scientist I work with data and build projects using AI and machine learning.