
MarcoFLY Framework
Make AI uncertainty visible and verifiable
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- AIDeveloper ToolsLegal & Compliance
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- AI Integrationai securityAI Agents
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- AI DevelopersAI EngineersSoftware Developers
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- Free
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About MarcoFLY Framework
MarcoFLY Framework (MFF) is a structured AI interaction protocol designed to prevent hallucinations and track epistemic reliability. It provides users with greater control over AI outputs through a framework that prioritizes reliability and structured communication. The platform is GDPR-ready and operates on a Bring Your Own Key (BYOK) model, currently available in Open Beta. MarcoFLY Framework is a free Progressive Web App that adds an epistemic control layer to generative AI conversations. It helps users distinguish what an AI model claims to know, what it infers, what is uncertain, and what still requires verification. The platform combines epistemic labels, configurable safeguards, multi-LLM workflows, web research, peer review, document attachments, transferable session context, and real-time streaming. MarcoFLY supports a BYOK architecture, allowing users to connect their own AI provider keys while keeping control of their accounts and usage costs. It is designed for developers, researchers, analysts, professionals, founders, educators, and advanced AI users who want a more structured and transparent way to work with generative AI. MarcoFLY does not guarantee truth or eliminate hallucinations. It makes uncertainty more visible and supports a human-in-the-loop verification workflow.
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MarcoFLY is free to use. Users may connect their own AI provider keys through the BYOK model and pay providers directly for any API usage.