Translate to Simplified Chinese Language: Share %% • %% • %% Suggested for you %% Follow post %% Show fewer posts like this %% Save %% Hide %% Report %% Looking for help building an internal company chatbot %% Hello, I am looking to build an internal chatbot for my company that can retrieve internal documents on request. The documents are mostly in Excel and PDF format. If anyone has experience with building this type of automation (chatbot + document retrieval), please DM me so we can connect and discuss further. %% Join %% r/ollama %% • %% Follow post %% Save %% Hide %% Report %% Holo1.5 3B as UI Grounding model + Claude as thinking model for Computer Use %% r/automation %% • %% • %% Because you’ve shown interest in a similar community %% Follow post %% Show fewer posts like this %% Save %% Hide %% Report %% I’m trying to automate an entire AI company. 60% done, getting exponentially harder. Is this even possible?” %% So I’m 17 and I’ve been building AI automation systems for a few months. Started with basic workflows, now I’m deep in something that might be insane. The goal: Automate a full AI infrastructure company. Not like “automate customer support” – I mean everything. What’s already running: %% Join %% Share %% Autoplay %% Auto %% Sales teams that research leads, scrape data, build personas, and handle my clients %% Content systems cranking out newsletters, social posts, podcast scripts at scale %% Multiple RAG systems with metadata and vector stores handling different knowledge domains %% currently 122 specialized agents with dedicated software functions or just regular n8n agents %% Multi-contextual agentic systems (agents that understand business context across departments) %% Several MCPs orchestrating agent-to-agent communication %% Every automation step generates training data for the next iteration %% n8n infrastructure team. that basicly does my job. and a fullstack developer for creating app around workflows. %% Basically: systems that build systems that train systems. The last 40% is breaking my brain. Once you have 122 agents that need to coordinate, everything gets exponentially complex: but i need to scale it to 280-300 agents or systems. %% Sales agent needs context from content systems %% Content systems need data from sales conversations %% Research agents need to feed multiple departments %% Decision-making needs to happen across disconnected workflows %% Agents stepping on each other / duplicate work %% Context windows maxing out %% State management across sessions %% Training loops creating feedback without human validation %% It’s not that any single piece is impossible. It’s that coordinating autonomous intelligence at scale is a fundamentally different problem than building individual automations. Like the difference between building a car and building traffic infrastructure for a city. My actual question: Do you think it’s possible to fully automate an AI infrastructure company? Not theoretically – I mean in practice, with current tech. Where’s the ceiling? Is 80% realistic? 95%? Or is there a fundamental limit where human decision-making becomes mandatory? Either I’m building something genuinely new or I’m about to learn why nobody else has done this. Figured Reddit would have opinions. %% Share