AI Agent Orchestration
AI agent orchestration is the layer that turns independent model calls into coordinated, governable work — deciding what runs, in what order, under whose authority, and how each result is verified. At NXTG.AI it is a live architecture layer, 0x2_ (Orchestration & Infra), with 3 shipping products on it today — Forge, skinny.cloud, and SynApps — each backed by a publicly probeable receipt.
Three products sit on the Orchestration & Infra layer; each renders the same one-line description it carries in the public catalog. They stand on Dx³, the internal data substrate whose receipts are public.
Governance-native AI development: drift detection, CRUCIBLE auditing, and security guards for Claude Code, Codex CLI, and Gemini CLI.
Lean AI ops. Audit your Claude Code context in 60 seconds.
Visual AI workflow builder.
Every claim on this page traces to a publicly probeable surface. These are the links.
What is AI agent orchestration?
AI agent orchestration is the layer that turns independent model calls into coordinated, governable work. It decides what runs, in what order, under whose authority, and how each result is verified — the difference between a pile of one-off prompts and a system you can operate, audit, and trust.
What does NXTG.AI use for AI agent orchestration?
It uses the products on its Orchestration and Infra layer: Forge for multi-AI coding governance across Claude Code, Codex CLI, and Gemini CLI, skinny.cloud for auditing what enters an agent's context, and SynApps for building AI workflows visually. Each one is backed by a publicly probeable receipt, listed on this page.
How is AI agent orchestration different from an AI agent control plane?
Orchestration coordinates the work: which agent runs, in what sequence, with which tools. A control plane governs the authority behind that work: what an agent is allowed to do, who approved it, and whether reality confirms the result. They are adjacent layers, not the same thing, and NXTG.AI ships both.