Agentic loops are already running in your business. If you have given an AI tool a research question, walked away, and come back to a finished brief, you have used one. The same mechanism fires a payment reminder after checking whether an invoice has actually cleared, keeps Claude Code testing its own fix until the bug is gone, and sends meeting notes straight into your to-do list the moment a call ends.

In this episode, Jess and Kyle get into how an agentic loop actually runs, how it connects to AI agents and AI workflow automation more broadly, and what separates it from a basic automation. They cover the three types of loop, the compounding maths of how a loop can get expensive fast, and how to build in the right amount of human oversight without losing what makes loops useful in the first place.

This is also where the vibe coding series starts to pull together: everything covered so far, the tools, the project structures, the files and folders, has been setting up for this.

We also cover the launch of the ChatGPT 5.6 models.

Use these links for a discount on the tools we recommend (and it supports the pod!)

Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptr
Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr

Vibe Coding Series:

What You'll Learn:

What an agentic loop actually is, how it connects to AI agents and AI workflow automation more broadly
How loops are from a basic prompt-and-response exchange or a standard automation
The three types of loop
The three things every loop needs to work
Why a vague goal compounds quickly
How to improve a loop over time
Why cost and overbuilding are the biggest risks
Where the human in the loop still sits

Timestamps:

00:50 Introduction and Personal Updates

07:36 What an Agentic Loop Is and Why It Powers Vibe Coding

11:01 The Three Things Every Loop Needs to Work

15:23 Scheduled, Event-Triggered, and Goal-Based: The Three Types of Loop

16:32 Loops vs Basic Automations

18:56 The Importance of Human In the Loop

20:43 Improving Your Loop Over Time

24:55 What loops look like in practice

30:52 What loops take off your plate

31:46 Where loops go wrong

36:46 The Importance of Oversight in Automation