Your AI Thinks Like Everyone Else? Fix It!

In this video, I'm going to show you how to use https://infranodus.com knowledge graphs to steer your ChatGPT and AI towards original insights and avoid generic responses. This is especially useful for AI research and brainstorming because you want to avoid thinking like everyone else by gravitating towards the same ideas. Instead, we use the knowledge graph to reveal the gaps in the discourse — the blind spots — and then bridge these gaps with research questions and ideas. Another approach is based on removing the top layer of obvious concepts to find what's hiding underneath. Finally, we can also use the "transcend" mode to steer AI's reasoning outside of the box and make it come up with new and interesting ideas. Try it at https://infranodus.com Also available as an MCP server in your favorite LLM / IDE: https://infranodus.com/mcp Timestamps: 0:00 AI boxes your thinking in 0:34 What AI normally does 1:13 Where Insight is hiding 2:08 💡 You need to point AI’s attention to the gaps 2:26 Using the graph to steer LLMs thinking 3:18 Revealing non-obvious with a graph 3:50 The graph shows you’re in a thinking bubble 4:24 🎓 Using a real example - first, with ChatGPT 5:37 Now using InfraNodus graph instead 5:55 💡 Approach #1: content gaps for insights 6:33 coming up with a recommendation service idea 7:08 generate research questions to bridge the gaps 7:50 ❗ Why thinking slower is better — like when you code 9:57 Switching AI models 10:37 MCP server to use the same approach in your LLM 12:46 💡 Approach #2: Reveal Non-Obvious Ideas 13:57 💡 Approach #3: Transcending the graph structure to break the thinking bubble 16:48 Conclusion