Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 863: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)

September 16, 2026

AI Summary

5 min read

In the past 24 hours, OpenAI and Google both launched updated drag-and-drop agents that work with your contacts around the clock, and Anthropic, Microsoft, and Perplexity have all shipped scheduled agents this spring. Most business leaders are still using AI like a chatbot—reactively asking for something and having to re-explain everything each time. But beneath these product launches, a quiet workflow pattern has emerged that podcast host Jordan Wilson calls "scheduled agentic context carry" (SAC). He argues this is the missing bridge between simple chatbots and fully autonomous AI agents, and that companies taking time to understand it now will be the ones crushing their year-end goals.

The feature vs. benefit gap in AI agents

Wilson frames the current moment through a features-versus-benefits lens. The feature side—large language models being smarter and faster than humans when used correctly—has exploded over the past two months. The benefit side—humans being more productive—is still being written. The traditional benefit narrative focused on what the human gains: more time, more productivity. But as agents become more capable and human-like in how they work, there is a new benefit for the AI system itself: the ability to carry context across runs.

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What you'll learn

1 (00:00) **Welcome to the Start Here Series** - Jordan introduces the "Start Here" series, a replay of the most popular episodes for beginners and AI champions, designed to explain concepts in plain language.
2 (01:18) **The Big Picture: A New AI Paradigm** - Jordan notes that OpenAI and Google both launched updated drag-and-drop agents in the past 24 hours, which signals a shift in the AI landscape.
3 (02:38) **Introducing "Scheduled Agentic Context Carry" (SAC)** - Jordan names and defines a new concept he believes is the next big trend, which most businesses are missing.
4 (03:54) **What You Will Learn Today** - Jordan outlines the four key takeaways for the episode.
5 (05:46) **The Explosion of Scheduled Agents** - Jordan details how every major AI lab has launched a scheduled agent or co-working feature in a very short time frame.
6 (09:18) **The Feature vs. Benefit for AI Itself** - Jordan shifts the frame to consider the benefit not just for the human, but for the AI system itself.
7 (10:49) **What ChatGPT Scheduled Agents Can Do** - Jordan explains the capabilities of the new ChatGPT agents to set the stage for why context carry is so important.

+ Full timestamped outline available in the app

Guests on this episode

Jordan Wilson

Show Notes

Info hunting and juggling sound familiar?

It’s the downfall of almost any business leader. Where is that email from Emily? Why can’t I find last quarter’s budget in Drive? Oh, and Keenen needs an answer back on that research project. Oh shoot, I swear Caleb confirmed the expenses in one of these Slack channels.

You’re off an information rabbit hole and by the time you find that Slack message, you already forgot what Emily’s email said.

Hit home? Well, as AI models expand to Coworking and Scheduled agents, we have a new best friend that doesn’t really have a name.

(Until we randomly named it. Lolz)

Scheduled Agentic Context Carry. You need to know what it is, why it’s important, and how to use it.

We’ll dive in.

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Topics Covered in This Episode:

Scheduled Agentic Context Carry (SACC) Explained
AI Agents: Features vs. Benefits Paradigm
Co-Working and Scheduled AI Workflow Shift
Persistent Context and Memory in AI Agents
Large Language Models’ 1,000,000 Token Context Windows
Workflow Automation: Eliminating Human-AI Duct Tape
Multi-App Integration and Cross-Platform Context
Three Steps to Deploy Scheduled Agentic Context Carry
Chain of Thought Iteration with Scheduled Agents
Autonomous Agent Limitations and Future Bridge

Timestamps:

00:00 Explaining SACC and AI benefits

03:43 Introducing the Start Here series

06:26 Rise of AI in enterprises

11:55 AI agents learning industry trends

15:08 Agent capabilities in AI systems

16:47 Explaining complex trends simply

20:13 Streamlining tasks with AI agents

24:18 Understanding AI and context windows