3. How to be an Effective Human-in-the-Loop for GenAI / Agentic Workflows

IN

TL;DR

Today GenAI has become agentic (it can plan steps and take actions using tools), our role as users have becomes even more important. Not because AI is “bad”, but because someone has to own the outcome. The best setup is: AI does the heavy lifting, humans define success, set boundaries, approve risky actions, and validate results.

1) First, lets understand what do I mean by “agentic workflow”?

Most of us started with GenAI as “chat” — ask a question, get an answer when ChatGPT launched in 2022.

Agentic workflows are what we are working with today where: the system can break a goal into steps, use tools/APIs, and complete multi-step tasks. In short, it doesn’t just suggest, it can actually do.

This is powerful. But it also changes the game. Because once the AI system can take actions, the question becomes:

“If something goes wrong, who is accountable?”

2) Why human-in-the-loop matters more in agentic systems?

(In Progress)