Let the AI Out: Audient — An Ambient Audio Perception Layer That Grows
An audio perception layer for AI agents: hear a sound, recognize it if familiar, learn it if not.
Enrico Santagati's blog
An audio perception layer for AI agents: hear a sound, recognize it if familiar, learn it if not.
My notes were on every device I own, but Claude couldn't reach them while I was on the go. So I built an MCP server to fix that.
Apple's adapter toolkit assumes a beefy GPU. I got it running on a free Colab T4 and a 24GB Mac, and found a caching bug that ate 269GB along the way.
Claude Desktop and Claude Code are separate worlds. Here's an MCP server that bridges them.
Apple ships a 3B LLM on every Mac running Tahoe. I wired it into three zsh hooks, benchmarked multiple approaches across 100 prompts, and found the ceiling.
AI agents are great at analyzing data. This post is about what happens when they start acting on it — autonomously, continuously, with judgment.
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A CLI tool that converts Claude Code session logs into interactive, self-contained HTML replays you can share, embed, or host anywhere.
The same MCP servers — BLE, serial, debug probe — working across Claude Code, VS Code + Copilot, and Cursor. That's the point of a protocol.
What happens when the AI agent can halt the CPU, set breakpoints, flash firmware, and inspect memory directly?