Version 1.1 — AI Teaching Summaries Expand the existing transcription workflow by using the OpenAI API to automatically convert completed transcripts into structured teaching notes. What It Does - Reads an existing `.txt` transcript. - Reads instructions from a separate Markdown prompt file. - Combines the prompt with the transcript. - Sends the combined text to GPT through the OpenAI API. - Receives a structured teaching summary. - Saves the summary as a Markdown `.md` file. - Skips summaries that already exist. - Uses `try/except` to handle AI summarization errors. - Tracks summaries as created, skipped, or failed. - Includes summary results in the final processing report. New Concepts I Learned - API calls - OpenAI client - Environment variables for API keys - Reading Markdown files with Python - Combining multiple strings into a complete AI prompt - Using descriptive return values: "created"` "skipped"` "failed"` - Using a function's return value to update counters in `main()` - Separating AI instructions from Python logic with a dedicated prompt file Completed Workflow Raw Video → Faster Whisper → `.txt` transcript → Custom prompt → GPT → Structured `.md` teaching summary

As you all know, I used to be in the military and flew Apache Helicopters. Although this video is 14 years old, it reminds me that you still need to make the job fun and keep things interesting. Watch on YouTube: Apache Friday (Warning: You may get a song stuck in your head) For me, it is to catch up on some projects. I checked last night, and this number changes all the time, but I was excited to see the Army Flight Logbook ranked #45 on the App Store. But it changes so much in the app store since it's based on downloads/income it generates. What are you going to do this weekend?

Does anybody remember this app called "I Am Rich" where they were charging $999, which is, I think, the most that you could charge then on the App Store? All it was was a picture of a diamond that you could display on your phone. I think they said eight people purchased it, but I don't know. Seems like an interesting way to make a few bucks, huh?

Hi everyone, I wanted to share a Python project I've been working on. I have a library of training videos that I wanted to turn into a searchable knowledge base. Rewatching hours of videos to find where a specific concept was taught wasn't very practical. I built a Python application that automatically transcribes my video library into timestamped text files. The long-term goal is to be able to search for concepts like cross body lead, right turn, or axle turn, and have the program return every video and timestamp where those concepts are discussed. This is still a work in progress, but here's a quick demo of the current version.

How come a website founded almost 100 years ago has the fastest site on the internet? Website: https://www.mcmaster.com/ Take a look at it. Hover your mouse over certain parts and click on them. Watch how fast it actually is. If you are interested in seeing what makes this website tick... 👉 You would watch this explainer video: https://www.facebook.com/reel/1457704805664544