Generic LLMs fail at 80k-word documents. 19-agent pipeline to fix this. What are you building? Drop your SaaS.

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Anyone else notice that using a standard ChatGPT alternative for students completely breaks down when you need long-form structure? If you try to use ChatGPT for thesis writing, it hallucinates references and loses context after a few thousand words. I wanted to solve document scaling, so AI Thesis Writer (aithesiswriter.io). Instead of a simple text wrapper, it’s an agentic AI writing platform. It uses a pipeline of 19 specialized AI agents to handle the exact anatomy of academic papers. Because the architecture is modular, the agents pass context down the line. One acts as the AI literature review generator, another structures the methodology, and another acts as an AI citation generator that embeds real, verified citations (APA, IEEE) natively into the text. It scales perfectly. You can use it as a standard AI research paper generator for a 5,000-word draft, or push it to act as a full PhD dissertation AI and master thesis generator capable of outputting 80,000 structured words (with clean DOCX export in 57 languages). Orchestrating multi-agent AI writing for massive documents was a huge headache but incredibly fun. How are you guys handling multi-agent workflows right now? Also, what are you building this week? Drop your SaaS or side project below so we can check it out!   submitted by   /u/Capital-Pen1219 [link]   [comments]