I’ve changed how I process Novus reports

🚀 Novus update

The FREE public Alpha is just around the corner!

I’ve put a lot of effort into improving the user experience. As I mentioned in a recent post, my goal is to deliver top quality on the fundamentals.

🧵

I used to use SMLs (small LLMs) to unify reports into a universal format and then give them the style I wanted.

Although this approach delivers the best results, it has several problems:

1) Long wait times for users ⏳

This is probably the biggest problem for me. I want a smooth, uninterrupted experience. Having users wait for AI to generate reports has been the main reason to look for a change.

2) Inconsistencies in AI-generated reports, making year-over-year comparisons difficult

Novus lets you compare annual reports and highlight differences, but the old model created inconsistencies and made it hard to make a coherent comparison

3) Sky-high costs 💸

AI drives costs way up. Even though they’ve come down a lot, generating hundreds of thousands of reports is still a burden I can’t ignore.

What’s my current solution? 🔍

A new processing method: I “normalize” and integrate the reports into their original style.

That way, we reduce formatting issues, save costs and, best of all, it’s MUCH FASTER! 🚀

Abandoning the other approach? Yes and no.

The limitations of the other approach will be solved over the coming months, so I’ll probably pick it back up when the technology meets my quality requirements for a better user experience. 😉🔜