Nara Mobile AI Lab vs Pockterm

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.

Pockterm is a native SSH and SFTP client built for iPhone. Free and open source. CONNECT - SSH into your servers with passwords or Ed25519/RSA keys - Trusted host-key verification warns you if a server's key ever changes - Multiple live sessions; minimize one and pick it back up from the tab bar BIG SCREEN - Plug in video glasses like VITURE, or a monitor or TV, and the terminal fills that screen - Your phone keeps the keyboard and key bar, and shows the session's files where the terminal was - Its own text size for the glasses, a Paste button, and PgUp/PgDn through the scrollback MANAGE - Organize hosts into groups - Save reusable command snippets - Generate and store SSH keys in the iOS Keychain - Set up local and remote port forwards TRANSFER - Browse, upload, and download files over SFTP - Upload from Files, iCloud Drive or your photo library, several files at once AI ASSISTANT (optional) - Ask an AI assistant about terminal output and get suggested commands - Bring your own API key: Anthropic, OpenAI, OpenRouter, or Hugging Face - Off by default; you're told which provider receives data before anything is sent PRIVACY - No account, no Pockterm servers, no tracking or analytics - Credentials and keys live in the iOS Keychain - Your connection data stays on your device OPEN SOURCE - The full source is on GitHub under the Apache 2.0 licence: github.com/jhancock1975/pockterm