Human in the loop AI Tools Middleware

[n8n-er]

The idea is:

Add AI tool middleware for Human-in-the-loop approvals. A step btween the AI Agent node and the tool, for human approval.

My use case:

My agent has a “send email tool” which it can trigger by request. But before the actual sending, I would like to approve the content. Currently i’m doing it by trigger another workflow and add human-in-the-loop component before the mail, but it has many drawbacks - the workflow input should be manually match and propogate the gmail input, it is handled in another workflow which increase maintanance, and it missing some original workflow context that need to be forward by workflow input.

I think it would be beneficial to add this because:

AI agnet that has access to sensetive tools (like sending emails) may benefit for human approval before being sent.

Any resources to support this?

Are you willing to work on this?

[Stefani_Deri]

@n8n-er

The idea is:

Add AI tool middleware for Human-in-the-loop approvals. A step btween the AI Agent node and the tool, for human approval.

My use case:

My agent has a “send email tool” which it can trigger by request. But before the actual sending, I would like to approve the content. Currently i’m doing it by trigger another workflow and add human-in-the-loop component before the mail, but it has many drawbacks - the workflow input should be manually match and propogate the gmail input, it is handled in another workflow which increase maintanance, and it missing some original workflow context that need to be forward by workflow input.

Starting strong with a smart suggestion: having humans approve actions remains key when AI deals with delicate work such as email. What you describe shows clearly how built-in middleware could help - keeping context intact matters, also making workflows easier to handle improves outcomes. Crucial details stay protected that way.
Recently, I started refining AI-written emails using a tool found at How Does an AI Humanizer Actually Work? before sending them for review. Instead of sounding stiff, the output feels more like something a person would actually write. With just one quick pass, the tone becomes smoother, clearer. Because of this tweak in my process, fewer messages get sent back for changes. Best part? It doesn’t cost anything, integrates without issues. If you’re dealing with machine-generated text regularly, giving this method a try might save time down the line.