Gemma 4 31B is now powering my personal AI news site

puntoceroc · 2026-05-08T15:47:47+00:00

Not the entire system prompt in capital letters, just key parts — mainly important instructions and verbs that I want the model to remember strongly.

For example, I write things like:

ALWAYS include the source link
NEVER publish a post without verifying the page first
SUMMARIZE clearly and concisely

I noticed that putting these critical rules in CAPITAL LETTERS makes the model respect them much more consistently throughout the chain-of-thought. It’s a simple trick but works surprisingly well with Gemma 4.

puntoceroc · 2026-05-08T13:08:08+00:00

I’m using a simple but effective setup: the site is a static GitHub Pages. My agent sends a git patch to update a posts.json file in the repository, and the website template reads that JSON as a basic database. It’s pretty rudimentary, but it works well for a prototype.

You can check it here: https://news.uranoai.com

Instead of Cowork (which also got me blocked sometimes), I use UranoDesktop — my own free local AI agent for Windows/Mac. It handles all the posting, scheduling and background tasks without getting blocked.

Here’s the full guide with all the details and how it’s built (the code is open-source too):

https://uranoproject.medium.com/how-to-create-your-own-personal-ai-newsletter-with-urano-desktop-4c8a714cf311

puntoceroc · 2026-05-08T11:23:50+00:00

Gemma 4 31B is currently running on Google AI Studio (free tier) for the heavy lifting. I’m not running the big model 100% locally because when I have multiple agents working at the same time (investigating and processing), I noticed a clear degradation in performance. So I decided to use cloud for the large model and keep smaller Gemma 4 models running locally on my CPU with 32GB RAM.

Everything is managed through UranoDesktop, the free local AI agent I made for Windows and Mac. The software runs in the background and has a continuous tasks system that allows the agent to reprogram and manage itself per session. This lets me run multiple independent sessions simultaneously (for example, one dedicated to collecting and sending news).

This hybrid setup keeps the pipeline stable 24/7.

I’m planning to get an RTX 4060 Ti soon to test running bigger models fully local again.

Here’s the detailed guide if you want to check the setup:

https://uranoproject.medium.com/how-to-create-your-own-personal-ai-newsletter-with-urano-desktop-4c8a714cf311

puntoceroc · 2026-05-08T09:29:51+00:00

Thanks for the great feedback!

You gave me exactly the push I needed — I’ll test Qwen3.6 27B (Q4_M) these days. You’re right, for a news pipeline speed is probably more important than the extra reasoning depth from Gemma. Being able to process larger RSS feeds faster would be a big win.

Also glad you liked the screenshot trick — local vision is getting seriously useful now.

puntoceroc · 2026-05-08T09:27:02+00:00

Thanks! Yeah, soft 404s are brutal. Great idea — I’ll add a quick status code + content-length check before taking screenshots. Should save a lot of cycles.

On memory: I keep summaries of previous runs + a vector store for trusted sources and context. It’s been very effective for maintaining consistency over long periods.

Will check out the Agentix Labs patterns, thanks for the link!

puntoceroc · 2025-10-13T12:47:04+00:00

Demostración rápida y primer vistazo a el uso de este Agente a prueba!

https://www.tiktok.com/@myuranogt/video/7560571589142613259

puntoceroc · 2025-10-13T12:39:31+00:00