Originally published at Agent Pipeline: What Runs, In What Order, and What Breaks on smartgate.network.
A shorter version of "Agent Pipeline: What Runs, In What Order, and What Breaks" — the full piece lives at smartgate.network.
What the full piece covers
- What an agent pipeline is, and why the shape matters more than the tools — A pipeline is the least glamorous object in an agent system and the one that decides whether the system can be operated.
- ai workflow automation: the boundary between a step and a decision — Automation projects fail at the same place: a decision was written as a step.
- function calling: what a step actually receives and returns — A step's shape is a function signature, and the interesting part is what it is allowed to see.
- pipeline orchestration: offsets, idempotency and the second attempt — Orchestration is what happens around the steps, and in practice it is three decisions.
- llmops: operating the chain after it ships — Running a pipeline is a different job from building it, and the difference is entirely about what is recorded.
- multi agent framework: when a framework is the wrong first answer — The phrase describes both a category of libraries and a design choice, and the choice is the one that matters.
- research automation: the template that shows the shape — Research is the pipeline everyone builds first, and it is a good teaching example because its steps are obvious: find candidates, read them, remove what overlaps, compress to fit, then write.
- The comparison, in one table — The column that decides most projects is the last one, and it is answered by the work rather than by ambition.
- Limitations — A pipeline cannot absorb a new shape of input.
Read the full piece: Agent Pipeline: What Runs, In What Order, and What Breaks on smartgate.network.
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