One piece of the AI OS that most people skip: the capture layer.🤖(Telegram bot)

Here's mine.

I have a Telegram bot running on my phone. Any time I see something worth saving — a video from Youtube, an idea on social media, a thought mid-walk — I just forward it there. Takes 2 seconds.

How it works:

Create a bot via @BotFather on Telegram — takes 2 minutes, gives you an API token
Write a small poller script (Node or Python) that calls getUpdates on the Telegram API every few seconds
Script writes every incoming message to a local file (inbox.jsonl)
Claude Code reads that file every morning as part of the daily brief skill
Actionable items land in Obsidian — as tasks, project notes, or ideas tied to active projects — and the inbox resets. Clean slate every day.

No cloud service. No third-party app. Just a script running in the background on your machine.

The insight: an AI OS is only as good as what you feed it. Most people spend weeks building the automation layer but never solve the input problem — so the system runs on stale context.

The bot fixed that.

Now wherever I am — away from my desk, walking, traveling — I can capture thoughts, interesting finds, and ideas on the go. Nothing gets lost.

Curious how others are solving this — how are you feeding live context into your AI OS?

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