Building an AI Personal Assistant
Author
Aidan
Date Published

The best customer to build for is yourself.
Ever since I started working with LLMs, the first thing I wanted was an AI personal assistant.
Let’s be honest, Jarvis from Iron Man planted that seed in all of us years ago.
I’ve seen a ton of projects chase that dream in their own ways.
Some go OCR-heavy for people glued to notebooks.
Others build CV workbenches to help with hardware dev.
And then there’s Poke; more of a digital companion that lives in your text threads (Poke VERY cool).
All solid ideas.
But none really clicked for me.
So I did what most builders eventually do; I made my own.

A dead-simple version focused on one thing: being a second brain that remembers things for me.
A few hours later, with some help from Cursor, ChatGPT, and Ollama, I had a solid MVP running.
(Pro tip: running the same prompt across multiple LLMs is an underrated experiment. The variance in answers teaches you a lot about model behavior.)
My biggest learning?
Writing PRDs for LLMs completely changed the output quality.
When you design your instructions like you’d write for a human engineer, the models actually deliver on the first try.
Below are some screenshots of the app (in season-appropriate Halloween colors 🎃).
Simple, but it already feels like a glimpse of the future I wanted to use every day.




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