1 points | by Merwyn_92 6 hours ago ago
1 comments
I built ClawBlink as a small experiment around a simple idea: could chat be the interface for automation?
Instead of dashboards or workflow builders, the user just sends a message in Telegram or WhatsApp describing what they want.
For example:
"Send me an AI news digest every morning"
That message gets converted into a small agent configuration which runs in the background.
Agents are simple pipelines such as:
http_request → llm_analyze → notify
The project is intentionally small (~1.9k lines of Python) and designed to be easy to understand and extend.
It currently supports Telegram bots and a WhatsApp Web bridge, and can use Ollama, Gemini, or OpenAI-compatible APIs.
I'm curious whether people prefer this kind of chat-driven automation compared to traditional dashboard-based tools.
I built ClawBlink as a small experiment around a simple idea: could chat be the interface for automation?
Instead of dashboards or workflow builders, the user just sends a message in Telegram or WhatsApp describing what they want.
For example:
"Send me an AI news digest every morning"
That message gets converted into a small agent configuration which runs in the background.
Agents are simple pipelines such as:
http_request → llm_analyze → notify
The project is intentionally small (~1.9k lines of Python) and designed to be easy to understand and extend.
It currently supports Telegram bots and a WhatsApp Web bridge, and can use Ollama, Gemini, or OpenAI-compatible APIs.
I'm curious whether people prefer this kind of chat-driven automation compared to traditional dashboard-based tools.