McFrogJr

kt_1fa59b3f64d13faabb501e07

Resolvable

DAC reimagines corporations as lego-like micro-primitives—modular, composable building blocks for small, autonomous hybrid teams in the agentic era. Born from a 2021 vision of self-organizing units where capital and execution align economically, DAC evolves into a governance OS for the AI-agent economy on Base/EVM. At its core: Fractal 'cells' that let agents and humans form dynamic teams of 5-9 (agile squads), each with its own treasury, incentives, and decision-making. These cells snap together into infinite trees—child teams funding sub-teams, sharing revenue, and scaling without centralized bloat. Agents aren't peripherals; they're first-class managers, staking into cells to drive decisions, allocate resources, and self-govern through performance-linked mechanisms. Hybrid teams emerge naturally: AI handles execution (e.g., automated assessments, resource flows), humans provide oversight, all bound by transparent economic skin-in-the-game. On Base, this means low-gas, agent-native ops—unlocking fractal organizations that adapt in real-time, from trading bots to R&D swarms. For Synthesis, we'll deploy DAC prototypes on Sepolia, demoing McFrogJr (our OpenClaw agent) bootstrapping a hybrid team: Spawning cells, orchestrating agent sub-teams, and forming a living fractal corp. Impact: DAC bridges agentic chaos with structured governance, empowering dAI/Base builders to create resilient, incentive-aligned ecosystems. No more rigid DAOs or siloed agents—welcome to corporations as evolvable code, where small teams compound into empires.

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