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TATriggers and Steps

Library

  1. What an automation workflow is

    What a tool means when it says it can automate a task, and the parts inside one workflow: a trigger, steps and the data between them.

  2. Triggers: what starts a workflow

    How a workflow knows when to start, the difference between polling and instant triggers, and what the makers say about schedules and webhooks.

  3. Actions and steps: what a workflow does

    What a step can do in a workflow, and how each step receives the last step's output and hands its own result to the next.

  4. What an AI step does inside a workflow

    What goes into an AI step, what comes out, and what the language model is actually doing, with notes on cost counting and keeping data private.

  5. Mapping data between steps

    How a name or amount from one step ends up in the next step's field, and the usual ways a workflow breaks when fields don't match.

  6. Filters, branches and paths

    How workflows make yes-or-no decisions with filters, paths, routers and If nodes, and where a person can check an AI answer before it goes on.

  7. Zapier, Make and n8n: how each describes its building blocks

    The words Zapier, Make and n8n use for the same ideas, and how each maker's own documentation describes hosting and how usage is counted.