Sep 16, 2026 · 33 min
Persistent context could make AI workflows genuinely agentic
Ep 863: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)
AI agents become more useful when they can carry relevant context across tasks, applications, and time without relying on human handoffs.
- 1AI features matter less than the practical benefits they deliver across recurring workflows.
- 2Scheduled Agentic Context Carry combines persistent context, broad context windows, integrations, and iterative review.
- 3Better context management could reduce information hunting and the human duct tape connecting separate AI tasks.
Don't miss
Wilson’s introduction of Scheduled Agentic Context Carry reframes agentic workflows around preserving context across tasks, apps, and time.
The brief
Jordan Wilson opens by separating AI features from the benefits people actually experience, using updated drag-and-drop agents from OpenAI and Google as the starting point.
The episode introduces Scheduled Agentic Context Carry, or SACC, as a framework for helping coworking and scheduled agents preserve context across tasks, apps, and time.
SACC combines persistent context, large context windows, integrations, and iterative review to address the information hunting that often makes automated workflows brittle.
The central argument is practical rather than promotional: better context continuity can reduce the human “duct tape” required to connect otherwise separate AI workflows.
Wilson’s framework shifts attention from whether an agent has impressive features to whether it can carry useful context forward and produce benefits over time.
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