[Help Needed] AI Agent Development & Packaging Advice

Hi everyone, I built a smart expense and expense management automation system using n8n + Dify.

The demo is ready, but I've hit a bottleneck and would love to get some help from the community:

Currently, the demo runs flawlessly within my personal Lark/Feishu app and multidimensional tables. My goal is to share it with friends for hands-on testing so we can optimize it together based on real-world practice.

However, the entire workflow (n8n + Dify) is deeply bound to my personal Lark bot credentials, tenant APIs, and specific table IDs.

I'd like to ask the experts and experienced developers here:

What kind of product packaging/onboarding solution is typically used for a multi-modal Agent that heavily relies on IM bots and online documents, ensuring external users get the most secure, convenient, and lowest-barrier experience?
If I want to transition towards commercialization in the future, how should I restructure or adapt this system?

This is my first time packaging a business-process-focused AI Agent, and I'm honestly a bit lost. I would deeply appreciate any advice, suggestions, or practical experiences.

Thank you so much!

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[Help Needed] AI Agent Development & Packaging Advice