# Agent workflows Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/agent-workflows
> Markdown URL: https://aitinkerers.org/technologies/agent-workflows.md
> Technology record last updated: 2026-05-05T22:46:28Z
> Generated: 2026-09-21T09:47:48Z

Agent workflows replace rigid, linear automation with autonomous loops where AI agents reason, use tools, and self-correct to hit high-level goals.

Modern agent workflows move beyond standard if-then logic by giving LLMs the autonomy to plan and execute multi-step tasks. Instead of a fixed script, an agent uses a reasoning loop (like the ReAct pattern) to assess a goal, select the right tool (such as a CRM API or SQL database), and evaluate the output. This shift allows teams to automate complex, non-linear processes like multi-document contract analysis or adaptive lead qualification. By implementing frameworks like LangGraph or CrewAI, developers can build stateful systems that maintain context over long-running tasks and include human-in-the-loop checkpoints for high-stakes decisions.

- Official technology site: https://www.langchain.com/langgraph
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [ICM - Interpreted Context Methodology](https://columbus.aitinkerers.org/talks/rsvp__HgYuH0-pAY)

I've built upon Jake Van Clief's Interpretable Context Methodology (ICM) - to write my multi-step agent workflows as folders with markdown inside of them. Skill files to get started are linked.

- Event context: AI Tinkerers - Columbus May Meetup — 2026-05-04 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp__HgYuH0-pAY

## Related Technologies

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