Putting Agents Into Real Workflows

Outline

1. Reframe the agent Start from the agent's position in the work, not from models or tools.
2. Compress work into a schema Context, Role, Artifact, and Feedback are the four reusable chunks.
3. Understand Doer and Tutor The same AI behavior can strengthen the work or steal the learning.
4. Build an explanation frame CLT controls input, ICAP deepens processing, and mental models decide transfer.

Notes

The session moves people from choosing tools to designing repeatable work systems.

The useful unit is not a prompt. It is a loop: context enters, a role acts, an artifact is produced, and feedback becomes the next run.

The long-term value is an inner map: a way to recognize the next situation faster and judge the path with less noise.

Slides

1. An agent is not a tool list A better representation is this: an agent is a work unit placed inside context, roles, artifacts, and feedback loops.
2. Three primary objects A real workflow is not a chat trace. It is a set of objects that can be identified, assigned, checked, and reused.
3. How one collaboration flows Work is not a single exchange but a loop you can run again: goals go in, judgment comes back.
4. The Doer / Tutor boundary The same agent behavior can help you form a mental model, or let you bypass one.