--- name: Fusion last_updated: 2026-06-02 --- # Fusion Strategy ## Target problem AI agent work is fragmented across many products, and each one locks you into its own models, workflows, and surfaces. A developer running agents can't drive them their way across machines without being captive to a single vendor's silo. ## Our approach Fusion is the model- and surface-agnostic orchestration layer — neutral by design, with a plugin ecosystem so it adapts as models and workflows evolve, rather than betting the product on any one model or vendor. ## Who it's for **Primary:** The solo developer juggling 10 Claude Code terminals and 5 Codex terminals, bouncing between laptop and phone. They're hiring Fusion to keep every agent moving — across surfaces and machines — without dropping threads or losing track of what's running where. ## Key metrics - **Concurrent agent sessions** — agents actively driven at once per user; the core signal that orchestration is real, not idle. - **Active nodes** — nodes running agents in a given week; proves the multi-node bet is being used, not just available. - **Ecosystem breadth** — unique models + plugins active per user; the direct readout of the agnostic, pluggable thesis. - **Task completion rate** — share of board tasks driven to done; outcome quality, not just activity. - **LOC shipped via Fusion** — code actually shipped through Fusion-driven agents; a proxy for real work delivered. ## Tracks ### Multi-node orchestration Driving agents across machines and surfaces in a scalable, multi-node way. _Why it serves the approach:_ The surface- and machine-agnostic promise only holds if work scales out beyond a single box. ### Surface coverage Meeting the developer wherever they are — dashboard/kanban, mobile, terminal. _Why it serves the approach:_ Surface-agnostic means no surface is the "real" one; every surface can drive and observe agents. ### Ecosystem & adaptability The plugin system, model swapping, and evolving workflows and structure — including missions, goals, and agent companies. _Why it serves the approach:_ This is where neutrality lives: the product evolves with the models instead of being locked to today's. ### Pluggable multi-user Unlocking multi-user collaboration through open, pluggable extension points rather than a hardcoded model. _Why it serves the approach:_ Same neutrality bet applied to collaboration — defined extension points keep the core open and let richer access, roles, and deployment models be built on top without forking the product.