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Build an AI to Detect Scammers/Gurus

Build an AI to Detect Scammers/Gurus

by liam-chen·Apr 26, 2026·2 points·1 comment

AI Analysis

MidBold BetShip It

Psycho-security is a compelling angle, but this MVP lacks technical differentiation.

Strengths
  • Asks how content influences rather than whether claims are true
  • Detects specific patterns like outrage spikes and narrative framing
  • Works across YouTube, LinkedIn, X, and article sources
Weaknesses
  • Explicitly MVP with no clear model architecture or training data disclosed
  • Content analysis space has established players with more rigorous methodologies
Category
Target Audience

Media consumers concerned about manipulation

Similar To

Ground News · Media Bias Fact Check · NewsGuard

Post Description

I built this tool because I believe AI can be used to protect people from social engineering and influence/manipulation patterns.

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:

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

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...

Thanks for taking a look. I would really appreciate any feedback and suggestions!!! :)

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