RCT Protocols
Open protocols and mathematical foundations powering the RCT Ecosystem. Published as transparent, peer-reviewable standards available to the AI community.
The Foundation of Interoperable AI
Protocols are the backbone of any reliable system. The RCT Ecosystem publishes its three core protocols as open standards, enabling transparency, peer review, and interoperability with external AI frameworks. Each protocol addresses a different dimension of AI intelligence: communication (JITNA), decision-making (FDIA), and cognitive architecture (RCT-7).
Together, these three protocols form a complete specification for building intelligent, safe, and scalable AI systems. JITNA defines how agents communicate, FDIA defines how decisions are computed, and RCT-7 defines how AI personality and behavior emerge from seven cognitive subsystems.
By adopting these open protocols, enterprises can integrate RCT capabilities into existing infrastructure without vendor lock-in. Each protocol is versioned, backward-compatible, and designed for incremental adoption — start with one and expand as your AI maturity grows.
See JITNA as a Negotiation Runtime
The landing page now exposes the protocol mechanics directly: intent capture, negotiation, validation, adaptive delivery, and feedback are all visible in a Manus-style interactive flow.
Context Capture
Capture user intent, environmental context, and prior signals to form the narrative foundation.
Open Protocols, Transparent AI
RCT publishes its core protocols as open standards — enabling peer review, community contribution, and interoperability with other AI systems. Transparency builds trust.