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: 1. 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? 2. 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!

I've been in a rut recently, I've kinda lost my drive, my desire for achieving my goal. And I really have been in a rut. And honestly, I fell off. And then this post, I just want to say my lesson that I learned from this and you could try it as well. So yeah, it began at the end of last month. You see, last month in May. I honestly, I put in all my effort and my focus, to my business goal of course because you know that's very, very, very important to me. And I'll be honest, I got really bad results that month and it just was incredibly demotivating to work so hard and to get basically nothing for it. Although I did get a small win but it was, it was not enough to sustain myself. And nowhere near compared to previous months of the same effort and that really just kind of, that honestly triggered the rut because I was just so demotivated from that and it really just pushed me off and then at the start of June I just realised you know what I'm going to have to get a part time job again or something because I'm totally broke I can't even pay for my gym membership or anything. And I was honestly so embarrassed with that, like how am I working 10 plus hours a day and yet I can't even buy a simple gym membership that anyone in a normal part-time job or anything could afford and that really hurt me a lot. And I also couldn't pay my assistant which I had for a long time. Because I didn't have enough money and that hurt me even more and all my clients their like timeline with me was up that meant I had only 1 client left with me at the start of June and it was very difficult and I just mentally I couldn't face doing the work working so hard and and basically not getting anything for it. I just kind of lost my drive and lost my discipline and honestly June this has probably been the worst month I've ever had in terms of productivity since about 2023 honestly and yeah, but at the same time though I was extremely overworked and burnt out and I was just tired of it all and I don't know.

🛠️ Agent Dev Diary: SmartExp — Smart Expense System I built an end-to-end automated expense system using n8n + Dify + Feishu (Submission ➔ AI OCR ➔ Validation ➔ Risk Control ➔ Approval ➔ Booking ➔ Analytics). —————— 🚀 Current MVP Features - ✅ AI OCR: Upload a receipt image ➔ AI instantly extracts metadata. - ✅ CRUD Management: Full database operations (Insert, Query, Update, Delete) in Feishu. - ✅ Budget Alerts: Automatic email warnings when monthly spending exceeds 3,000 RMB. (Screenshot of my n8n workflow attached. Still optimizing!) —————— 🛠️ Next-Step Optimizations 1. Risk Control & Approvals: Add duplicate/fraud detection and a Human-in-the-Loop step to intercept bad data before booking. 2. Leaner Vision AI: Streamline the current bloated image-processing workflow to improve execution speed. 💬 Let's Connect! Owners, finance pros, and devs: What features would you add? Any tips to optimize this Agent architecture? Let's discuss in the comments!

I just finished a functional Demo for an AI-Powered Enterprise Expense & Reimbursement Automation System. The core stack is built on: Multimodal AI, OCR, LLM Agents, Workflow Automation, and an Enterprise Rule Engine. Long story short: users just drop receipts or PDFs into it, the AI instantly extracts the data, cross-checks it against company policies (detecting duplicates, spending limits, etc.), and automatically pushes the clean data into an analytics sheet. Now, I want to follow our community's golden rule: Stop over-building and start talking to real users. To stress-test the model, find edge cases, and collect my first batch of testimonials and case studies, I am completely open to doing Free Pilots or very low-cost trials at this stage. ———————————— Since this is my first time launching a financial/administrative automation tool, I’d love to get some wisdom and insights from the vets here: 1. Is my current approach—using free/low-cost pilots to co-create and find data boundaries—on the right track? 2. For this specific finance/admin automation niche, what’s the lowest-cost way to find my very first target client and get them to actually test my Agent? ———————————— If anyone here has experience with outreach or client acquisition in the finance/admin automation space, I’d heavily appreciate your feedback and insights!

Hey everyone 👋 First real post here. I've been learning from a lot of you silently, and I just finished my first production-grade automation. Wanted to share the build and get your feedback. The Problem Small businesses capture leads via forms, then **manually copy the data into their CRM**. This means wasted hours, duplicate contacts, and a CRM nobody trusts. What I Built An n8n workflow that: 1. Receives form submissions via webhook 2. Normalizes the data 3. Searches CRM for existing contact by email 4. Updates if exists / Creates if not (deduplication) 5. Creates a deal associated with the contact 6. Sends a Slack notification to the sales team 7. Logs everything in a Google Sheet (audit trail) 8. Error Trigger → Slack alert + fallback sheet if anything fails The Workflow [Webhook: POST /crm-sync] ↓ [Set: Normalize fields] ↓ [HTTP Request: GET /contacts/search by email] ↓ [IF: contact exists?] ├── YES → [HTTP Request: PATCH /contacts/{id}] └── NO → [HTTP Request: POST /contacts] ↓ [HTTP Request: POST /deals] ↓ [Slack: Notify sales team] ↓ [Google Sheets: Append audit log] [Error Trigger] → [Slack: Alert] → [Google Sheets: Fallback save] Tech Stack - n8n (self-hosted on Railway) - Tally.so (form) - HubSpot CRM (REST API v3) - Slack (incoming webhook) - Google Sheets (audit log + fallback) What I Learned 1. API docs are everything — reading HubSpot's docs took longer than building the workflow. 2. Error handling is not optional — broke the API key on purpose to test. Silent failures are unacceptable for a paying client. 3. Test with bad data — missing fields, duplicates, special characters. Each edge case found a bug. 4. Audit logs build trust — the Google Sheet isn't just for debugging. It's what makes the client feel in control. What's Next - Two-way sync (CRM → Google Sheets back) - AI lead scoring (form data → OpenAI → route by score) - WhatsApp Business API notifications If you made it this far, thanks for reading. Any feedback, criticism, or "you should've done X instead" is welcome — that's how I'll get better. 🙏