Agent Workflow
Structured orchestration of tools, models, and memory into repeatable decision pipelines.
Definition
An agent workflow is a structured loop that plans, calls tools or models, observes results, and repeats until a stop condition. Unlike a single chat completion, it is a pipeline with memory, tool contracts, and failure handling.
Why it matters
Desks care about repeatability: the same inputs should produce the same tool sequence and audit trail. Workflows turn ad-hoc prompting into something you can budget, evaluate, and shut down when it drifts.
Case
A macro agent that retrieves Codex notes, pulls a chart snapshot, then drafts a risk note is a workflow. If any step fails silently and the model still “answers,” you no longer have a workflow — you have decorative automation.
How to read it
Map steps, tools, budgets (tokens/time/cost), and stop rules. Ask what happens on empty retrieval, tool timeout, or contradictory evidence. If those paths are undefined, do not trust the output in production.