Control vs Yebo

Your Mac's coding agent, in your pocket. Control is the only native macOS + iPhone app for driving AI coding agents remotely. Pair your iPhone to your Mac over the local network — no cloud, no clipboard, no SSH setup. Just tap and code. WHAT MAKES CONTROL DIFFERENT • Native macOS companion — not a CLI plugin or web wrapper. A real app that sits in your menu bar and manages your coding sessions. • WebRTC peer-to-peer — your prompts and responses travel directly between devices over an encrypted data channel. No relay servers, no third parties. • True orchestration — kick off AI coding agent sessions, approve tool calls, answer questions, and stop runs, all from your phone. • Real-time streaming — follow every token as it arrives, read code diffs, and review changes without walking back to your desk. HOW IT WORKS 1. Install Control on your Mac and iPhone 2. Both devices discover each other automatically via Bonjour 3. Open a project, write a prompt, and watch your agent work FEATURES • Streaming markdown — every token rendered as it arrives, with full code block and syntax support • File diffs — review every line changed, with additions and deletions highlighted • Git-aware projects — browse all your repos, switch branches, see session history • Token & cost tracking — know exactly what each turn costs • Voice input — speak your prompts naturally • Push notifications — get alerted when your agent needs input or finishes • Dark & light themes — designed for any environment • Haptic feedback — feel the progress PERFECT FOR DEVELOPERS WHO • Run long AI coding agent sessions and want to monitor from the couch • Need to approve tool calls or answer agent questions on the go • Want to review code diffs and conversation history without sitting at their desk • Prefer a native, private, peer-to-peer connection over cloud relays COMING SOON • Apple Watch companion • Home screen widgets • Siri Shortcuts integration Control requires a Mac running the Control companion app on the same network. Works with popular AI coding agent CLIs.

AI agents are becoming powerful enough to negotiate tasks, plan workflows, and interact with services across the internet. But when an agent reaches the moment where it needs to execute a real-world action such as sending a payment, committing to a contract, or triggering an external API . Developers need a reliable way to verify that the action is allowed before it happens. Yebo provides that control layer. Yebo acts as an authorization and orchestration system for AI agents and autonomous workflows. Developers connect their AI systems using a simple API, and when an agent wants to perform a sensitive action, the request is routed through Yebo first. Yebo evaluates the request against developer-defined policies, checking permissions, allowed capabilities, budgets, and execution conditions. If the request meets the policy rules, the action is authorized. If not, it is blocked automatically. This approach allows developers to safely connect AI agents to real-world systems without giving those agents unrestricted access. The AI continues to think, plan, and reason normally but any action involving payments, contracts, or protected services must pass through Yebo's verification layer. Yebo is designed to integrate easily with modern AI architectures, including agent frameworks and autonomous systems. Instead of redesigning their agents, developers simply add Yebo to the execution path, enforcing policies and maintaining full control over what actions are permitted. Every authorized action generates a verifiable execution record, allowing teams to review what the agent did and why it was approved. This maintains trust and accountability when deploying AI systems that interact with real services. AI agents can decide what to do. Yebo ensures those decisions are safe to execute.