Very good idea! However for now as i am still testing it im not comfortable selling it to bigger companies yet.

I used to daily drive Qubes OS, so I totally get your point on correlation.

But I had to prioritize utility. LiftMind’s main purpose is 1. to actually work and help people overcome addiction, and 2. to provide a safe harbor for people who don’t want to hand over personal info.

The main “threat” I’m solving for right now is the paper trail, allowing people to pay via XMR so their bank statement doesn’t show they are using a recovery service. It might not be bulletproof for a targeted attack yet, but it solves the immediate privacy problem for most people.

Well i have been shadowbanned / banned on almost all major platforms so far, such as twitter and reddit. Currently i have given my close friends free access to the AI features to test and improve it before any major marketing if the time for that comes.

Fair point on the notes. You’re right, if a user explicitly types “I am John Doe” in the journal, that string does get passed to the LLM. I can strip headers and IPs, but I can’t perfectly scrub context without breaking the analysis.

To mitigate that, I use the paid API. Unlike the free version, Google is contractually blocked from training on the data. I realize that is a legal promise rather than a technical guarantee, but it is the same binding agreement used by hospitals and banks.

As for why not local/Ollama? Two reasons:

1. Intelligence: For psychological pattern recognition, small local models hallucinated way too much in my testing and missed obvious patterns. I need SOTA reasoning to avoid giving bad recovery advice.
2. Hardware: Local inference kills battery and requires high-end phones. I want this tool accessible to everyone, not just people with $1k devices.

I’m planning a “Local Only” toggle for the future, but the tech isn’t quite there yet for the average user.