Oh you misunderstand. When you query the LLM for the second iteration of the loop just do it regardless. Say something generic, ask it to reanalyze the answer m

Oh you misunderstand. When you query the LLM for the second iteration of the loop just do it regardless. Say something generic, ask it to reanalyze the answer more carefully. Ask it to compare it with existing known data and check for logical consistency. You can do this EVEN if you don't know whether or not the answer is wrong. Because the input is generic you can make this automated. When a user makes a query create a feedback loop and feed that back into the neural network multiple times with additional input requests to re-analyze analyze the query and resulting output more carefully. You can do this until you exhaust all input nodes and it "forgets" what you talked about previously.