If you have used AI nodes in @n8n_io you have probably generated markdown at some point. LLMs use it to show headers, tables or code.
Want AI to update your internal docs? Make sure to approve it first.
Markdown editing in @gotoHuman just got a lot better.
n8n wflow template👇
@kimmonismus Not random at all. They started I think 2-3 years ago and already had a sweet list of angels on board. Will be exciting to watch what they ship for sure
@GeminiApp@GoogleLabs Is it possible to create plugins/integrations for opal to offer pre-built steps? (as I understand these mini apps are built using opal)
You can also check input against broader policies. Like flag prompt injection attempts or verify that messages stick to a certain topic. Some of these guardrails are LLM-based btw., others use regex pattern matchers or keyword lookups.
The @n8n_io Guardrails node is out (v1.119.0)
It helps sanitize LLM input and check its output, but can also be used to hide sensitive data from human supervisors, like
- credit card numbers
- email addresses, or
- phone numbers
(This and many more supported out of the box)
I love these disposable one-off workflows.
This is how I migrated @gotoHuman from one email provider to another.
Sure, I could have vibe-coded a simple script, but having a nice viewer for the data (that I can pin) to inspect responses is just super handy.
#n8n#Automation
The OpenAI node in @n8n_io now allows using built-in tools like web search and code interpreter.
Pretty handy if you want to fetch some data, generate code to do some calculation or processing on it and then run it - all in a single node.
Ok ok, this @n8n_io AI workflow might need a little tweak.
But it's still super valuable for anyone sharing posts and articles from their favorite creators and companies.
Whatever you post - you write it. But why not have a content assistant that helps out a bit.
Workflow below