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Thanks for the feedback, hoc. I am already re-coding the whole thing to use more of an Agents/crew style approach where certain roles can be assigned to critique the research, fact-check, etc.

I re-built with CrewAI but was limited so now doing the same again but using AutoGen.

The criticism is important to this, as is any research project. That's why good research works, if it is challenged. I'm implementing that "challenging" directly into the LLM as separate agents.

Balancing token efficiency with regular check-ins and critique is important, and something I want to ensure the user has control over.

Nearly to version 0.1.3, and much to learn still.

I loved that use case! I will keep testing, refining and hoping others will do until we get there. Persistence is what matters, to try our best and strive towards collaboration, openness and accuracy.

Obscurity is dispelled by augmenting the light of discernment, not by attacking the darkness.” - Quote by Socrates.



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