Create your own real-time voice assistant that detects incidents by monitoring log files and speaks out loud about issues.
You'll build a real-time incident radio for your backend that tails log files, detects important errors and warnings, and turns them into short, human-friendly summaries. It keeps a rolling memory of past issues, emphasizes the newest problems, and speaks each update aloud so you can stay focused while the system keeps watch.
Run it against any log file (for example, detector sample.log) and hear clear, periodic status reports about what's breaking and how it's evolving in real time.
Build a real-time log file watcher with tail-like behavior
Filter log entries by severity using regular expressions
Connect concurrent components with async channels
Summarize incidents with OpenAI's chat completion API
Convert text summaries to speech with OpenAI's TTS API
Play audio alerts through the system speakers with rodio
Orchestrate multiple async tasks with futures::select_all
Basic Rust syntax (structs, modules, traits)
Familiarity with async/await concepts
Understanding of basic I/O operations
No. You implement the project yourself, step by step, right in your browser — with a full reference solution for every step when you get stuck.
No. The playground runs entirely in your browser — no toolchain or local setup required.
Yes. Preview steps are available without a subscription so you can see the format and quality first.
Every step unlocked, the Workbench app, a snapshot for each step, jump-to-any-step navigation, and all new playground releases.
Yes. You can work through a playground solo or alongside an AI agent.
Yes. Every step has a complete reference solution you can compare against.
