GoWinston.ai — AI Detection (December 12, 2025)
The gifts of being catfished (see related post) continue to be revealed. When I shared my story with my brother-in-law, Jack Robson, he didn’t just empathize with my situation, he taught me how to avoid repeating the same mistake in the future by introducing me to GoWinston.ai.
Winston AI has a 99.98% accuracy rate which is about as close as we’ll ever get to knowing if a human or a computer is behind the messages we are reading. Playing “Monday Morning Quarterback” for a second, if I had taken the time to put the first email I received from “Anna Perez”, I would have known immediately that I wasn’t talking to a human.
Using Winston AI allows me to see what percentage is AI vs Human
Yes, it’s a sad day when we must have THIS LEVEL of guard up against anyone and everyone we don’t know personally — and even suspicious messages from those we DO know (and accounts have been hacked). I further suspect that this kind of intelligence will eventually be bought and incorporated directly into our email providers who will, as a standard, separate out human communication from AI-generated content.
But, until that day comes, I’m happy to discover that GoWinston.ai exists and will empower those of us on the receiving end of content and communication as it’s become nearly impossible to tell what’s real from what’s fake (as evidence from my recent experience being catfished). In addition to having more of a guard up, I now feel empowered to “trust but verify” anything that could be AI-generated.
What This Means for Content Creators
Transparency is and has always been your friend! There are really good uses for platforms like ChatGPT, Gemini, Claude and other AI platforms out there. What we can’t do, however, is “phone it in” when it comes to our work.
If you are feeling the pressure to write an article, post a blog, or come up with a report, there are positive ways to use these platforms and lazy ways. What’s most risky is the lazy, “Do it for me” attitude where our work is essentially outsourced to artificial intelligence. This leads to a very predictable outcome: The Dark Side of AI. This includes:
Algorithmic Bias and Discrimination in hiring, medicine and law
Predictive policing, for example, has been flagged for disproportionately targeting minority communities
Cybercrime (I never loved “Cyber”, but it’s here to stay)
This includes misinformation, deep fakes, scams and fraud (like what I just experienced), sophisticated cyber attacks, and malicious code (to name a few).
Political Distortion and Disruption
From Brexit to our latest US elections, AI can be used to spread false information rapidly and at scale to influence election results, create social division, and/or cause panic.
Economic Inequality
Getting displaced from a job where AI has taken over is already happening and it’s negatively impacting lower skilled jobs and increasing inequality.
And if all that weren’t enough, consider how nearly impossible it is to unravel who is responsible for an an AI attack or when someone has been harmed by AI.
The good news is that many people already recognize the existing (and potential) harm and are working to do something about it. You can read more about this on Darkside AI if you’re interested.
The short version is, “Addressing these issues requires a proactive approach to regulation, a focus on ethical development, and international collaboration to ensure AI benefits humanity as a whole.”
It’s a good vision, but getting nations to agree on anything is incredibly difficult (see related post on my time at the UN). So, while the long-term solution is being worked on globally, for today you can arm yourself with AI-detection tools like GoWinston.ai. It may be unfortunate that we must do this today, but I’m much happier to know there are solutions out there that all of us can adopt — especially when we need them. Okay, I think I’m done feeding this fed horse (i.e. the PETA’s Animal-friendly version of “Don’t beat a dead horse” idiom).
