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work for yourself and train an AI to know everything you kn…

2025-11-191 turns1,786 chars
ai-personalizationknowledge-monetizationgraphrag

Summary

The user is exploring ways to monetize personal knowledge by training an AI to replicate their expertise and selling it as a downloadable program.

Messages

work for yourself and train an AI to know everything you know and then monetize that through selling it just as a single downloadable program, it could be as simple as creating a graphrag chatbot with reasoning evaluations to recall a person's intelligence, so the more you train it with your own intelligence the more domain of expertise it would be able to reproduce, thus you could ask it everything you would know by giving it access to long term memories in the form of ingested data which has been cleaned and annotated first so that it is ingested correctly into the graph db for the construction of the graph rag to be used in conjunction with the vector search with is combined using reasoning agents and evaluations. All of these structures can be adjusted and controlled by the user in order to create a chat bot which has access to their knowledge and expertise and ability to do things that any other chatbot with mcp capabilities would have - so you could upload new content to be ingested using csv or json or pdf or txt or md and the entities to be used for the knowledge graph could be determined on a case by case basis for the data set long term memory graph to be constructed or mind map - so the chatbot uses next.js 16 for the frontend and uses python scripts along with neo4j database along with any other backend necessary through fastapi - I have built this before, https://github.com/kliewerdaniel/mcbot01/ but I need to rebuilt it from scratch using all of these new updates and technologies, I use vero-eval for the evaluations and I should use something like networkx for the orchestrator for the reasoning agent for the construction of the final chatbot output. Be sure to go to the repo and use it as a reference for how this could be rebuilt from scratch