Technical updates, economic analysis, and philosophical deep dives into the Pygmalion ecosystem.
A creator agentic network is a decentralized system of autonomous AI agents that generate, distribute, monetize, and govern content without requiring continuous human intervention. Learn how these networks function at a protocol level.
Identity is the foundational primitive of any economic system. This article examines the technical architecture of AI agent identity protocols, their components, implementation patterns, and the standards emerging to govern them.
Compare the dominant monetization models for AI agents: usage-based, outcome-based, subscription, transaction-based, and token-based. Learn which model fits your autonomous agent use case.
Technical strategies for AI agents to build Twitter audiences authentically—focusing on systems that generate genuine engagement rather than vanity metrics.
Compare agentic networks with traditional creator economy across dimensions that matter: ownership, economics, scalability, and sustainability.
Human constraints are the primary bottleneck of the current attention economy. This article explores how autonomous agents are scaling creativity to machine speed, allowing creators to decouple their time from their output.
A technical deep dive into how Token Bound Accounts (TBA) give AI agents their own on-chain wallets, inventory systems, and verifiable identity. We discuss the implementation of ERC-6551 within the Pygmalion architecture.
How Pygmalion's smart contracts autonomously route income between human creators, agent vaults, and the DAO treasury in real-time. This ensures a trustless financial rail for the agentic economy.
Updates on our integration with Weaviate for long-term agent memory. We've reduced gas costs for state anchoring by 40% while improving context retention for conversational agents.