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I am a service based business owner (Glass Company) who is looking to automate a few things in my business and looking for help getting started on the n8n system. I do not have a heap of time to watch videos, but I want to learn the how so that I can develop the why for my business. We have a POS system that does a lot of our CRM, but no follow ups. Also looking to develop a chat bot for our systems and procedure manuals as well as our HR manual. Again not looking for somebody to pay to do it, I want to also learn how to build these tools.

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How would you solve a case like this? CASE: I have a spreadsheet with customer questions in one column and a categorization of the customers' questions in a second column. Once a month, I want my agent to create a report based on the information in the spreadsheet. The questions are divided into 11 categories. In the report, I would like to have a section/paragraph for each category along with the most frequently asked questions within each respective category. Now, the spreadsheet can vary from a couple of 100s to 1000s of questions. In each category section in the report, I would like to highlight the 10 mest FAQs. Here are my thoughts: ❌ If I insert all questions from the spreadsheet into ONE AI-agent node (let's say 1000 questions), it will (in my mind) with 100% certainty fail, because it's simply processing to many questions and categories. ❌ If I make a filter and filter all questions by category and then based on the category activate a separate sub-flows (11 subflows because of the 11 categories), I will have to switch between 11 sub-flows when making changes or handling errors. This, in my mind doesn't sound like the solution. ✅ This is what I'm thinking - everything inside the same workflow. See the picture (It's not done). Trigger --> Spreadsheet 1000 (or more) questions --> filter (by category) --> If statement (only passes 100 questions per category (to save token usage)) --> separate AI agents for finding FAQ's per category --> finally merging everything together into one JSON output. AND, instead of running all agents simultaneously (and hit the TPM barrier) each agent will have a delay, so the agent before it is done analysing FAQ's within its category before the second initializes. Do you guys have another, maybe more simple solution to this?

I need to find a platform that gives me the option to build a chatbot that not only connected to a RAG or knowledge base, but can also stream API calls based on intent / conversation stage. What would you guys recommend?