Build an AI to Detect Scammers/Gurus
Psycho-security is a compelling angle, but this MVP lacks technical differentiation.

Cybersecurity for your brain sounds compelling, but the MVP lacks technical depth.
Media consumers, researchers, and journalists concerned about manipulation
Media Bias/Fact Check · AllSides · NewsGuard
In a way, it is similar to what an antivirus does for a computer, but applied to human cognition.
This simple project is mainly an MVP proof of concept.
I want to turn this project into an entire ecosystem to give people more control, detect PSYOPS, election manipulation, and give people more awareness.
Right now all the marketing companies are getting very good an influencing people, and this is going to get worst with LLMs.
All the innovation is going into marketing, and nothing is going into giving people more control over their devices and their lives.
I want to build this ecosystem to serve as a counterweight, ensuring we don't live in a future where big companies control people's behavior. (not gonna let them do that)
this is the website: https://www.falsoai.com/
these are some test examples that you can try:
News
https://edition.cnn.com/2026/04/22/us/epstein-files-sex-traf... https://www.bbc.com/news/articles/cn0ep28drllo https://edition.cnn.com/2026/04/21/economy/us-retail-sales-m...
YouTube
https://www.youtube.com/watch?v=2sQbK6EH9yg&t=2379s https://www.youtube.com/watch?v=pDxCC5-C9Tg&t=128s https://www.youtube.com/watch?v=MZPVPCIeUpg
Thanks for taking a look. I would really appreciate any feedback and suggestions!!! :)
Psycho-security is a compelling angle, but this MVP lacks technical differentiation.
Distribution shape analysis beats average star rating for spotting engineered reviews.
Data-backed YouTube pacing patterns when most creator advice is just guesswork and opinions.
Video truth detection in a space already crowded by deepfake scanners.
Scores your hypothesis formation before asking AI, not just token usage.
Single-binary offline log analytics when Elasticsearch is overkill and ripgrep is too little.