krys_agentivity
krys_agentivity on Hacker News
So, trust me, it is way more complex to do, an AI model is not do to analyse big data, even LLM have limits... the hardest part is to keep this information structured, correct and well organized at the speed of AI, without costing too much. The risk is to create more and more false information and the system become unmaintable... or you spend your life on it.
One trick, if you want to do something like that, create a node based graph knowledge base, it is just the start. Noticed that we are looking to release our brain db (working on it since a year now... it is amazing, but complex to exploit it in production), but I do not know when... the plan is not clear, we use it internaly only for now.
You can imagine that you have a real team of people (not AI). They are all very smart but very junior, with no experience in the problem and context that you know well... Provide them enough freedom to exploit their intelligence, but provide the right directives, scope, and rules to do the minimum of the job.
For example, define clear boundaries for your agents: specify what they receive as input, the expected outcome, and what is strictly forbidden to do.
Hope it helps