MiraBridge AI Code Remote vs Nara Mobile AI Lab

MiraBridge AI helps you stay connected to active coding work from your phone. Start a session on your computer, then follow progress, review code, approve agent actions, monitor terminal output, and respond when your AI coding workflow needs input. Built for developers who move between desk, meetings, commuting, and focused work, MiraBridge gives you a practical mobile surface for the coding sessions already running in your workspace. REMOTE CONTROL FOR AI CODING Track agent progress, review planned changes, and keep the session moving without sitting in front of your computer. MiraBridge is designed for modern AI-assisted development where the important moment is often an approval, a quick instruction, or a build result. CODE REVIEW FROM YOUR PHONE Open files, inspect changes, read diffs, and approve or reject tool actions with a clear mobile flow. Stay in control while your AI assistant handles repetitive implementation work. TERMINAL AND BUILD VISIBILITY Watch command output in real time, check build and test results, and see when something needs attention. MiraBridge helps you catch failures quickly and continue the loop from anywhere. FILE AND WORKSPACE CONTEXT Browse project files, inspect code, and keep track of workspace state from a mobile interface designed for developers, not a generic remote desktop. MODEL AND AGENT WORKFLOWS Use MiraBridge with supported AI coding providers and agent modes. Switch context, send follow-up instructions, and keep approvals organized across your coding workflow. DESIGNED FOR CONTROL MiraBridge keeps the developer in the loop. AI can help write code, investigate issues, and run tools, while you stay responsible for review, approval, and direction. MiraBridge AI is for developers who want their coding session to keep moving, even when they step away from the keyboard.

Nara Mobile AI Lab is a developer-focused test bench for exploring Apple built-in AI capabilities directly on iPhone. The app helps developers, builders, and technical teams understand how on-device AI performs in real app workflows before investing in a larger implementation. For the most accurate test, turn on Airplane Mode before running experiments. This helps verify whether results are coming from the device’s built-in AI capability instead of a cloud service. With Nara Mobile AI Lab, you can test practical AI workflows such as: Speech-to-text with structured JSON extraction Vision and OCR extraction from photos Prompt response testing Mock tool and callback execution User-defined tool function testing LocalKnowledge search testing Object detection using preset Core ML models Image classification using preset Core ML models Prompt to Image using Image Playground Latency, validation, manual scoring, and notes Exporting results for review or project planning The app includes built-in templates and one-time page hints so you can quickly test common developer scenarios without building a full prototype first. You can inspect raw extraction, AI output, validation status, benchmark timing, manual score, and notes. Nara Mobile AI Lab is especially useful for evaluating whether on-device AI is suitable for privacy-focused apps, offline-first workflows, mobile automation, field tools, form extraction, image analysis, local knowledge search, and AI-assisted business software. Core ML Vision Tests Nara Mobile AI Lab includes preset Core ML model tests for object detection and image classification. The current preset models include YOLOv3TinyFP16 for object detection and FastViTMA36F16 for image classification. These tests provide practical developer examples for reviewing on-device model behavior, latency, and output format. Tool Calling Tests The app includes mock tool-calling tests so developers can evaluate whether the Apple Foundation Model chooses the correct function, passes reasonable arguments, and returns a useful result. Write-style actions are mocked for safety, allowing the app to demonstrate tool-calling behavior without performing real external changes. LocalKnowledge Tests The app includes local knowledge search testing so developers can explore how user-defined local information can be used in offline-first AI workflows. Test data stays on the device unless the user manually exports it. Nara Mobile AI Lab is a testing and learning tool. AI output may be incomplete or inaccurate and should always be reviewed by the user.