Anna Mills:
Thank you for the reply and your feedback. The first app, which I tongue in cheek have called Cixelsyd, I’m basing on my own experience in college and the work realm, but according to the Yale website, as many as 20% of people show signs of reading challenges, in various forms.
source: Dyslexia FAQ - Yale Dyslexia
What most people like me suffer from is sporadically having words (digital or analog) either turn around in our heads or disguise themselves, or even become invisible. We’re in good company: Edison, Einstein, Spielberg to name a few; most dyslexics are very creative and passionate but are sometimes unable to express it because of some text-based limitations.
In my experience because this linguistic ‘phantom’ exists, most dyslexics lack the confidence to read and write without assistance, which is why the speech-to-text and text-to-speech elements are so pivotal in this fledgling app.
I have seen JasperAI and it just doesn’t meet that need, not that it couldn’t be enhanced to provide that. I just haven’t seen anything yet on the market that checks all the boxes.
Regarding your feedback on the second app, let’s describe it as news with a Digital Fingerprint, I agree that it is not only a useful tool, but might be a requirement moving further into the 21st century’s age of extreme global propaganda.
In a news industry that is already lagging and having to make cuts, it would reduce the ‘journalism behind desks’ aspect and encourage them to be more out in the field. More stories out in the field mean more news for those who just want direct facts. It could revolutionize news as we know it today, and perhaps make a divide between real news and entertainment/ spin.
This would be a successful subscription-based model app for news agencies, or researchers, students et cetera; the GPT-3 based intuitive search engine would be key, with keyword input prompts and using the data to generate fact-based news stories with linguistic fingerprint. Later it could be trained to cross refence editorial images, posted throughout public social media, and connect them to new with a similar digital fingerprint verification.
For instance, if a news story breaks in front of a grocery store parking lot, the app could analyze the photos popping up on social media, triangulate the location, and verify that the photos are indeed connected to the story, for example, no parking lot is ever that same every day, there are so many variables: size of vehicles, colors, positions, tires, wheels, windows, et cetera. The app could likely do this with field photos as well by comparing angles of buildings, tree positions, time of day, positions of the sun, among other things.
I’m a little leery about expounding on these ideas here because I don’t know the community well, and there is the risk of people taking ideas… but I believe in the cause, that these are important apps to get built someday.
I did reach out to David Shapiro and Adam Goldberg, who directed me to this forum. I like it here; it feels properly ‘old school’ for those approaching 50 range, but with new tech. 
Thank you for your time.
