Ai automation templates

An AI workflow uses a language model to summarise, sort or draft text inside an automated process. Teams use one when the input is too long or too frequent to read by hand, such as support email, meeting notes or a feed of articles.

Include a trigger for each new piece of text, a prompt that names the output format, a model step with its credential set, a check on the model's answer, a review step before anything is sent, and a log of what was produced. Have a person approve the output before it reaches a customer, because a model can sound certain and still be wrong.

n8n has built-in nodes for the common model providers. Add the one you use, create its credential once, then write a prompt that describes the output you need.

Ask the model for a fixed format, such as a JSON object or one of a set of categories. Add an IF step that rejects anything that does not match, and send drafts for review instead of straight out.

Send only the text the task needs, and check your model provider's data terms first. Remove names and account numbers where the job allows it.

Start with AI Email Summariser: Get a three-bullet summary and an urgency label for every new email, with a sheet log for all of them. If that is not the right fit, compare it with AI Meeting Notes to Tasks.

Yes. These ai automation templates work in n8n. All 6 templates are free, with no account or email needed.