# Self-hosting an HN Briefing AI: My Workflow

> Source: <https://promptcube3.com/en/threads/2366/>
> Published: 2026-07-23 14:47:58+00:00

# Self-hosting an HN Briefing AI: My Workflow

Since I'm trying to integrate more AI agents into my daily routine at work, I wanted to see if automating information intake actually saves time or just creates a "summary of a summary" that misses the nuance.

The setup is straightforward for anyone looking for a practical tutorial on self-hosting a content pipeline:

1. **Fetch:** The system pulls the top stories from the HN API.

2. **Summarize:** It passes the content to an LLM to strip the noise.

3. **Translate:** It converts the output into the preferred language.

4. **Deliver:** It populates a customizable dashboard for a morning briefing.

The real challenge with these AI workflows isn't the deployment; it's the prompt engineering. If the summary is too brief, you miss the technical "why" behind a story. If it's too long, you're back to square one. I'm still tweaking the balance to ensure the AI doesn't hallucinate the consensus of a comment thread.

For those who want to try a similar self-hosted setup, you can find the project details here:`https://github.com/mshumer/hn-summarizer`

(example path)

It's a decent experiment in LLM agents, but I'm still skeptical about whether AI-curated news feeds eventually create an echo chamber by smoothing over the controversial bits of a discussion.

[Next AI Voice Agents: Solving the "Walkie-Talkie" Latency Problem →](/en/threads/2352/)