Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 762: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)

April 23, 2026

AI Summary

5 min read

For years, the AI industry has been selling a feature—smarter, faster large language models—while the benefit to humans has been vague: more productivity. But in the spring of 2026, something quietly shifted. OpenAI, Google, Anthropic, Microsoft, and Perplexity all launched scheduled agents within weeks of each other, and the real benefit has flown under the radar. It is not about faster chatbots. It is about a new workflow pattern that Jordan Wilson calls "scheduled agentic context carry" (SACC). The companies that understand and deploy this pattern now, he argues, will be the ones crushing their year-end goals.

What scheduled agentic context carry actually means

The concept breaks down into four parts. "Scheduled" means the agent wakes up on a cadence—every morning at 8 a.m., or triggered by a specific event like receiving a certain type of email. "Agentic" means the model can call tools, connect apps, and take actions without step-by-step human guidance. "Context" refers to the memory, preferences, company data, and dynamic data pipelines that persist between runs. And "carry" is the critical piece: the agent holds that context across sessions, so it does not start from zero each time.

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What you'll learn

1 (00:00) **Intro & The Hidden Workflow Pattern** - Jordan Wilson introduces the concept of "Scheduled Agentic Context Carry" (SACC) as the next big, overlooked trend in AI, bridging chatbots and fully autonomous agents.
2 (02:52) **What is Scheduled Agentic Context Carry (SACC)?** - A breakdown of the four-part concept: Scheduled, Agentic, Context, and Carry, and why the combination is a stepping stone to AGI.
3 (08:38) **The Real Benefit: Context for the AI, Not Just Productivity for the Human** - The traditional benefit of AI was human productivity; the new benefit is the AI's own ability to carry context, which changes everything.
4 (10:34) **Why Now? The Perfect Storm of Three Capabilities** - The timing is driven by the convergence of cowork/agentic scheduling features, massive context windows, and new tool-use abilities.
5 (25:48) **Step 1: Connect Live Data Sources and Preferences First** - The first practical step to deploying SACC is authorizing and connecting your approved tools and memory.
6 (27:38) **Step 2: Context Stuff in a Dedicated Memory Thread** - Use the enormous context windows to your advantage by creating a single, unified thread for daily context.
7 (30:00) **Step 3: Iterate with Chain of Thought Before Production** - The final step is to review the agent's reasoning trace and iterate the prompt before scheduling it for production.

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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