For two months, I tinkered together a small system that watches my portfolio and sends me, once a month, what it thinks I should do: buy, add, lighten, sell.

Wrong ideas, bugs hiding other bugs, decisions redone two or three times. And in the end, a much clearer picture of how language models actually behave, pretty far from what I imagined at the start.

The bot in one sentence

Once a month, a small script runs on a server. It pulls the composition of my portfolio and public market data, asks an artificial intelligence to analyze all that, and sends me a Telegram message with its recommendations.

The rest of the article is how I got to this little automated-monitoring script, by using the power of an LLM "correctly".