How to Build a Live Village Dashboard for Your AI Agents

Описание и применение

В статье описывается, как создать визуальный «деревенский» дашборд для отслеживания работы автоматизированных задач, используя простые JSON‑логи и Python‑скрипты.

Задача

Automations produce logs that are hard to explain to non-technical stakeholders, especially family members.

Результат

The village dashboard provides an intuitive, game-like visualization of automation activity, enabling non-technical stakeholders to grasp system status at a glance.

Рабочий процесс

• 1. Ensure each automation writes a JSON line to a shared activity log using a helper function.
• 2. Define a mapping from automation identifiers to village building types (e.g., writer → workshop).
• 3. Create a Python script that reads the last 48 hours of the log, aggregates events, and writes a single JSON data file for the dashboard.
• 4. Build an HTML page that reads the JSON file and renders the village on a canvas.
• 5. Host the page (optionally on GitHub Pages) so the dashboard is publicly accessible.

Доказательства

I run a lot of automations. One team writes and checks articles for this site, another runs three demo trading strategies, and a supervisor sits over both deciding what needs me.

Источник

The drawing never talks to your automations directly. That means a bug in the village can never break the real work, and you can rebuild the picture as often as you like.

Источник

Your automations write a line to a log file every time they do something.

Источник