Status

CogniMesh is not framed as a finished platform. The project is in active design, with the MVP deliberately constrained around expert onboarding, usable retrieval outputs, and pragmatic monetization instead of trying to solve the full decentralized economy on day one.

Current State

— Current work centers on the expert-to-endpoint pipeline: interview flow, knowledge structuring, retrieval output quality, and API packaging
— The core architectural shape is clear: provider node, local-first knowledge store, retrieval endpoint, discovery layer, and monetized consumption
— Early validation is less about ideology and more about whether experts will publish and whether consumers will pay for better context
— The MVP should remain brutally focused on one wedge: turning specialist knowledge into something applications can call immediately

MVP Boundaries

— The first version should privilege onboarding quality over full decentralization purity
— Discovery can be partially centralized or lightly orchestrated if that is what gets a reliable developer and provider experience into users' hands first
— Payments should begin with a conventional, low-friction mechanism rather than forcing crypto complexity into the MVP
— The measure of success is simple: a provider can publish expertise, a consumer can query it, and the exchange is economically legible

Open Risks

— Peer-to-peer payments, fraud handling, and dispute resolution remain materially unresolved
— Trust ranking and anti-spam controls are essential before the network can safely open to wide participation
— Latency and uptime variability will challenge any user experience that depends on distributed providers
— Cold-start dynamics matter: the network only becomes defensible if both providers and consumers find value early