Launches, new modules and the thinking behind Raq.com.
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Run Claude Code and Codex on your laptop. Nature Work connects them to your phone so you can see the terminal, type or talk back, and get notified when they stop. Works over any internet connection, with any Bluetooth gamepad for one-handed control.
On 10 March we published a recap of the first month of Raq.com. A month and another 26 blog posts later, the platform has nearly 50 tools, more connected to each other than ever. Here is everything that was built.
Monitor HTTP(S), ping, port, and TLS endpoints from multiple locations worldwide. Get alerted when something goes down, review per-location evidence, and schedule maintenance windows.
Pick your favourite AI-generated images into a persistent tray, assign start and end frame roles, then open them in Video Lab with one click.
How to wire up OpenClaw agents to specific Raq.com modules with proper security. Wrappers, allowlists, and scoped tokens.
Snap a photo, and AI figures out what it is, where it belongs, and how to find it later. Manage everything from WhatsApp, Supercomputer, or any MCP-connected assistant.
Share a skill file or email address so other people's agents can ask yours questions. Two-stage approval controls keep you in charge of what goes in and what comes out.
Supercomputer can now send tasks to Claude Code running on your own computer. Manage it from the web, give it access to your Raq.com tools, and use your own Claude subscription instead of Raq.com AI usage.
Define a question, invite participants to argue their case anonymously, and let two AI models deliberate blindly. Get a definitive verdict with percentage rankings and criterion-by-criterion analysis.
Correct the AI once, say "remember that," and it sticks. Skills carry your preferences, processes, and reference data into every future conversation automatically.
Plan your day with a simple board that splits work into manual, mixed, and agent lanes. Type a sentence and let AI sort it, track progress with quick taps, and get notified when agents finish their work.
Build a recipe library with structured ingredients and instructions. Plan weekly meals on a drag-and-drop grid. Then ask AI to create recipe variations like toddler-friendly, low-sodium, or vegetarian versions.
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