The PSA website is a potentially very valuable archive of ideas going back 15 years or so. Posts were chosen generally as significant curations of a particular trend or innovation within the frame of what might apply to innovation in online education and online healthcare.

Searching by a tag and category is currently available, but with so many posts, and so much “data”, it’s seems a no brainer to explore what AI might further be able to derive from an overall analysis and correlation of ideas, including useful summaries and revelations of ideas based on deep analysis of the PSA archive.

However, getting to that place where we can input our entire post archive URL and have an LLM such as ChatGPT crawl through the posts and then “go to work” on the entirety, is not yet clearly within our reach. There is some possibility that OpenAI’s Deep Research functions might be capable of that job now, or perhaps later this year. Currently Deep Research use requires a “Pro” level sub at $200 per month.

PSA Admin will continue to explore what is possible today, and also what is “coming soon” as AI advances are in a straight up portion of the capability graph. For now, what follows is a query using ChatGPT o3 so called “Mini High” version. One of the latest greatest versions available to the OpenAI Plus subscribers, and one of the smartest OpenAI is currently offering. IOW, smarter than most other AI’s available as of February 7th 2025.

The response to a prompt query about how ChatGPT might be able to abstract useful takeaways from the PSA post archive generated a lengthy projection of what it might do, and how it might do it, without saying it would do it if ,say, we uploaded an PSA website URL for the archive.

Here’s the query/ prompt:

Can you analyze a website which has over 2500 posts and create a table with takeaways, trends, and most important ideas…if I give you access. The general project is that there’s a ton of knowledge and useful ideas and useful perspectives about online learning and online healthcare at the website going back over 16 years, and the goal is to understand what’s the best vision for what education and healthcare can be in 2025 and future years.

Here’s one table ChatGPT o3 Mini-High created: