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Team

metaMe Runtime

Project Concept

metaMe Runtime Experience Aigent = “Renderer-in-Chief”. An. operating framework agents can understand that turns design intent into deterministic rendering decisions. The framework should be two things:

A content-module “profile” (how it wants to be rendered)
A surface/device “selection policy” (how the runtime should present it)

Inputs:
user intent (DIS)
content module render profile
device context
surface decision matrix
design constraints (Constraint Manifest)

Outputs:

a Surface Plan: “show these modules as embed, this as drawer, this as overlay”
a Layout Plan: density + ordering
a Parity Report: did we meet the design intent?

It doesn’t need to “design.” It needs to select and assemble within your constraints.

Entry

Status: Submitted

Last saved: February 21 at 6:25 PM EST

Team Roster

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Dele Atanda Team Lead RSVP Approved

Founder at metaProof
Lead contributor. CopilotKit and Claude play central roles. Wired in Tavus but not yet set up avatars but have uised other previously so easy lift and shift. Also Redis integrated for agent memory management.
Dele Atanda is a technology innovator and entrepreneur focused on advancing empathy and humanity through digital solutions. As the founder of metaMe and metaProof, he brings over 20 years of experience in digital transformation, AI, and blockchain technology. His professional journey includes leadership roles at prominent companies like IBM, where he served as Chief Digital Innovation Officer. Atanda is passionate about ethical data systems and self-sovereign AI, working on projects such as Quantum Ready Internet Protocols (Qripto), AgentiQ, metaMe and metaKnyts. With a background in innovation, experience architecture and international enterprise, he continues to drive technological innovation that aims to positively impact society's technological landscape.
Self-sovereign AI, clean data operating systems, blockchain, quantum, digital transformation, ethical data usage, AI innovation, digital rights, strategic innovation, machine learning, software development
Aigent Z iQube Protocol metaKnyts MetaMe