Build a Custom AI Expert from Any Framework in Minutes using Reasoning Maps

In this video, I’m going to show you how to use https://infranodus.com to build reasoning maps for your LLMs, so you can build portable AI experts that are proficient in any framework you choose. You can then use these AI experts in your favourite LLM — Claude, ChatGPT, n8n — to tell your models not only what to think, but also how to think — to give them reasoning rules and structure that will improve their ideation process and produce better insights. Timestamps: 0:00 Structure shapes reasoning 1:25 Reasoning maps 2:20 Real use case 2:32 Standard Claude workflow 3:38 vs Reasoning map workflow 6:59 How it works — ontology knowledge graphs 8:40 Optimising the reasoning logic 10:07 Building graphs manually 11:21 Combining different reasoning frameworks 12:35 Using AI “experts” in n8n workflows 13:37 Using experts inside the graph itself To create a reasoning ontology, use the import path: https://infranodus.com/import/ai-ontologies To then connect them to your favourite LLM via MCP server: https://infranodus.com/mcp