17 minutes12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer
Learn how to design AI workflows that can pause, resume, ask for human judgment and keep business state separate from model guesses.
IBM Technology. Jeff Crume's lightboard explainer of the three places generative AI introduces risk — the data, the model, and the usage — and what good controls look like for each. Useful for the article's argument that "be careful" isn't enough; you need to think about which category of risk you're actually exposed to as an employee.
Treat this as conceptual guidance. Do not use real company data until permissions, retention, logging and human-review boundaries are clear.
You can name the three risk surfaces generative AI adds at work — data, model, usage — and describe the controls each one needs.
None — aimed at employees, not security engineers.
Last reviewed: May 18, 2026
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