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.
Ask the macro AI about this object
Opens ZChat with Codex, RAG, and chart context enabled. Connected to the shared Ztrader memory layer.