Stop Prompting, Start Designing Loops: The Infrastructure for AI Agents
atShruti · x · 2026-07-22
The author argues that as AI evolves from simple chatboxes into tool-calling agents, traditional prompt engineering is moving up a level. The new core paradigm is designing workflow loops.
A loop gives the model a job rather than a single instruction. The article breaks down the 5 essential steps of a standard loop:
- Discover: Determine what needs to be done.
- Plan: Choose the next action.
- Execute: Do the work using tools.
- Verify: Compare the result against the goal.
- Iterate: Feed the result back in and retry upon failure.
The author emphasizes that a robust loop requires state management (to avoid repeating mistakes), clear stop conditions (to prevent infinite loops draining the budget), and genuine verification checks. The piece also teases a follow-up on "Graphs"—the infrastructure needed when multiple loops start interacting.
Related event: AI Agent Engineering Shifts to Layers and Loops(5 posts)→
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