Articles
A Full-Stack Platform for AI-Assisted Operations?
Give your agents and workflows a durable domain to live in: custom software surfaces, APIs, storage, dashboards, notes, and agent hooks around shared data.
When AI Writes Software Faster Than You Can Hold It in Your Head
AI can grow a codebase faster than one person can remember it. The real risk is architectural amnesia, and the answer is engineering discipline.
Your AI Agent Can Use the Other Computer Now
remote-pc-mcp lets an AI agent control another machine over MCP, from running commands and managing files to launching jobs, screenshots, and desktop UI.
Use OpenClaw, or Build From Scratch in Python?
OpenClaw is the faster path to capability. Building lower in the stack is slower, but it gives you a system shaped around your workflows, data, and security boundaries.
3 weeks until programmatic Claude usage gets metered
Programmatic Claude usage is moving from flat-rate subscription behavior to metered credits, which means agent workflows need tighter token discipline.
Build AI as Infrastructure
AI compounds when it becomes infrastructure: scheduled workflows, monitoring, dashboards, and interfaces that run operations instead of one-off prompts.
Launching Pixelion Music With AI Singers Rhyx and Elin
Pixelion Music launches with AI singers Rhyx and Elin, using a workflow built to make multi-singer AI tracks more reliable today.
Your $49 Tool Might Be 10 Lines of Code
Some paid automation tools can be replaced by a few lines of code when you know where custom logic fits inside an AI-assisted workflow.
Same Agent. Different Brains.
One agent does not need one model. Different LLMs are better at different jobs, so production AI systems should route work by task.