Hi Product Hunt! I’m MarcoFLY Motta, the creator of MarcoFLY Framework. I built MarcoFLY to address a problem I repeatedly encountered when working with generative AI: models can provide confident answers without clearly showing what they actually know, what they infer, and what they are merely guessing. MarcoFLY adds an epistemic control layer to AI conversations. It helps users distinguish claims by confidence level, activate configurable safeguards, compare responses through peer review, and work with multiple LLM providers through a BYOK model. It is not designed to promise perfect or infallible answers. Instead, it makes uncertainty more visible and gives the human user a clearer role in verifying and evaluating AI-generated information. I would love to hear from developers, researchers, founders, and AI power users: How do you currently verify AI-generated answers? What do you find most difficult when working with multiple LLMs? Would epistemic labels and configurable safeguards be useful in your workflow? Try MarcoFLY and let me know what you think: https://marcofly.app/

MarcoFLY Framework AI

Bringing epistemic discipline to everyday AI

Bringing epistemic discipline to everyday AI