Intro.
This 2025 I'm launching a couple of new experiments (plus a payments project) 🤖 ₿ 🚀! Let this be the pledge that holds me accountable.
The first experiment it's called Futurewise. An automated AI training platform, with curated AI tools, news & courses for the LATAM market. Minimal, simple, to the point. A sort of BensBites for low GDP countries.
Of course that could be fairly described as just another shitty newsletter, but in this case, the experiment, (as all experiments should) has a goal.
The goal is to determine whether it is possible for me to automate the whole process of creating & maintaining such a project.
From content, to images, to code, to operations, using AI & Playwright.
The idea is to see the extent in which I can handle this challenge, and to learn more about artificial intelligence (mostly) open-source models in the way.
Also, trying to automate this process will lead me to understanding, using and maybe creating AI agents in 2025. Apart from skill-up my Machine learning, HuggingFace & Python skills.
On the other hand, as CTO of Braaay.com I am learning about wine, driking wine (and craft-beers), a quite lot of them. By result of embracing this commitment to the project, I became acquainted with the subject and the challenges of running a wine e-Commerce & Showroom in São Paulo & Uruguay.
So in 2025 I will be moving the site, from Woocommerce to a lean and clean Svelte + Tailwind front-end (with a headless Woocommerce in the back, to avoid scaring the crap of the now familiarized editors with the admin interface). Additionally I will use that Svelte 5 project to lever a Tauri mobile app, for the store's Fidelity & Cashback Club.
I would prefer Ghost as a CMS, but life's, unfair as it is sometimes, it's about tradeoffs. So there is mine. I will have to learn to live with that!
And... what does all that have to do with LLM's fine-tunning?
Well, at Braaay, we need to elevante the game. The wine market is crowded but growing.
My way to elevante the game is to contribute with technology, plus a lot of deep transcendental breathing, with sparse bike rides.
So in 2025 I will have to learn how to fine-tune an agent (probably a version of Llama, via replicate.com), train it with wine data (already collected from the site), create an Ollama version of it and locally host it, using Cloudflare tunnels and a Dockerized reverse proxy server.
The result will be our own in-house AI wine sommelier. Like buscawine.com on steroids.
I will use that agent to create several things:
- A Wordpress admin plugin for writting AI enhanced content for the site, with internal links.
- Another (useless) AI chatbot for the site, just to join the hype.
- A wine recommendation system for our app.
- An internal training agent.
I will be posting all stages of both challenges from Futurewise & Braaay below at the experiment changelog. Please (don't) stay tunned, I might just forget to update.
Code for the experiments is already open-sourced at Github here, so feel free to say hi.
As for payments project I will post an update (and maybe the project itself) sometime Q2 of 2025, it's called ViiVPay.
Bike around and be safe!
Changelog.
(pending) Create a Nodejs script for retrieving the latest 3 emails from a Gmail account, using DeepSeek, will later use this to get the latest emails from top AI newsletters.
Summarize the last week email newsletters retrieved from the email getter script.
Ollama tunnel but via Dockerized reverse proxy server for more control, security and rate-limiting:
- https://github.com/kesor/ollama-proxy
- https://gitlab.informatik.uni-halle.de/ambcj/ollama/-/blob/ad897080a299bf86aee16b498edb5ddb250edd35/docs/faq.md
Create the wine dataset.
Choose a base open-source AI model to fine-tune.
✅ Create the basic Web UI for the project, using ChatGPT by OpenAI, and upload it to Vercel.
✅ Configure a Cloudflare tunnel, and link it to the Ollama server, using Claude by Anthropic.