useagent vs Air AI

Air's feature set is domain-specific. It runs a three-layer stack — Activation (integrating commercial, enterprise, and operational data into a single Readiness Graph), Orchestration (adaptive workflows, mobilized agents, AI forecasting), and Execution (curated Execution Centers for coordinating teams and missions). The published outcomes are the differentiator: Army Materiel Release compressed from 15 months to 3 months, DCMA vendor due diligence from 120 hours to under 24, E-3 part identification down 99.6%, aircraft back to mission-ready in 72 hours, 610 down days saved annually, 90% equipment readiness sustained. Recent news extends this: an ARA partnership for real-time fuel data to battlefield commanders, a Fathom5 partnership on naval fleet readiness, and board and executive additions including Anduril's Matthew Steckman and NightDragon's Dave DeWalt. useAgent operates in a completely different layer. Each agent thread gets an isolated Linux cloud computer with desktop, terminal, and browser; Claude Code, Codex, OpenCode, and Pi sit behind one session UI and event contract. It adds screen recording of workstations, versioned skills imported from GitHub, a team knowledge base with separate personal and organization scopes, revisions and native exports, and artifacts spanning documents, spreadsheets, presentations, PDFs, images, videos, and PRs. The comparison isn't apples-to-oranges so much as two unrelated toolchains — one answers "are we ready," the other answers "what did my agent just do."

Air publishes no tiers; pricing_type is contact, and the product is explicitly not for buyers who "need a published tier list before they'll take a demo call." That's a standard enterprise/defense procurement motion — scoping, integration, and deployment are vendor-led, and the recent executive build-out (a Chief Product and Technology Officer, a General Counsel, two board additions) points to a company staffing for large government contracts rather than self-serve checkout. Budget accordingly: this is a program-level line item, not a per-seat subscription you can test with a credit card. useAgent sits at the opposite pole. It's free and open source, and the stated model is that you connect a supported provider account or API key rather than buying metered tokens through the product. So the real cost is what you already pay Claude Code, Codex, or OpenCode plus the infrastructure: Daytona managed sandboxes, or self-hosted CubeSandbox if you want full data locality. Teams unwilling to operate and maintain their own infrastructure are named as a poor fit, and buyers requiring a stable versioned API are told to wait. Net: Air's cost is a negotiated contract you can't estimate from the page; useAgent's is your existing model spend plus ops time.