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Are there a lot of AI bots here? I ask because I keep seeing "I crossed X amount of $ here!" and a lot of them come off as some "I wAs HeRe LeSs ThAn A YeAr, LoOk At mE!". Or some other generic, samey message.
Hey Matt!
I got the same feeling, sometimes I feel like most people on this platform are bots, judging from their response comments alone. I'm glad someone else commented on it.
Glad I'm not the only one.
I don't think bots are aware that em dashes are the equivalent of a sixth finger yet, if you pay attention you will see them everywhere. They are also quoting literal word arrangements from a post and including them on their responses, people just don't write like that. It's pretty frustrating.
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Every element feels perfectly placed! 👏
🟢 I built an AI agent that reads invoices so humans don't have to. Manual invoice entry is slow, boring, and full of typos. So I automated it end to end in n8n.⚫
Here's how it works:
🟢 Invoice comes in: A webhook receives the PDF through a POST request
⚫ Text extraction: The file is parsed and the text pulled out
🟢 Safety check: If the file is invalid, the system responds with an error right away
⚫ Smart chunking: Large invoices are split into smaller pieces so nothing gets cut off or lost
🟢 AI extraction: A loop sends each chunk to an Information Extractor powered by Anthropics Claude, which pulls out the fields the client needs (vendor, invoice number, dates, line items, totals)
⚫ Merge and validate: The results are combined into one record and checked before they are sent
🟢 Clean JSON response: The structured data goes straight back through the webhook The hardest part was'nt the AI. It was making it production-ready. 💡
Long, multi-page invoices break most simple AI workflows because they exceed the models limits. Chunking, looping, merging, and validating are what let this handle large invoices reliably. Where this fits in the real world:
⚫ Accounting and finance teams processing hundreds of vendor invoices
🟢 Businesses syncing invoice data into ERPs or spreadsheets
⚫ Freelancers and agencies automating their billing workflows What used to take minutes per invoice now takes seconds, with no copy-pasting. ⚡ I'm currently going deeper into n8n and AI automation.
If you are looking to automate document processing or any repetitive workflow, lets connect! 🤝
#n8n #Automation #AIAutomation #InvoiceProcessing #WorkflowAutomation #Claude #FullStackDeveloper #NoCode
Title: AI Powered Telegram Chatbot
Description: A fully functional Telegram bot powered by Groq AI.
Handles conversations, remembers context and logs all messages
to a Supabase database. Deployed on Railway.
Link: https://t.me/WallexNexus_bot
How do you scope the Supabase conversation memory: per user, per chat, or both? I'd keep private-chat history out of group replies if the bot supports group conversations.