In the AI era, the biggest bottleneck is not the model, it’s human bandwidth.
This is a short follow-up to my first episode (Dictation vs Typing). The core idea: computers and AI can process fast, but our input and execution speed often can’t keep up. So we need to improve the “I/O” loop, starting with how we communicate with AI, and why dictation can be a higher-throughput way to think out loud and generate better prompts. Next up, I’ll go behind the scenes and break down the tools and workflow I used to create the video, the script, and the visuals.
Timestamps
00:05 Quick follow-up and why I’m doing this
00:48 Input matters, dictation vs typing, and prompting
01:10 Next episode: behind-the-scenes tools and workflow 02:45 What “bandwidth” really means: idea → execute → ship 03:53 Why this matters now, AI is moving fast
05:27 Be the signal in the noise
If you watched Episode 1, I’d love your feedback: what would help you most right now, prompting basics, advanced prompting, or the behind-the-scenes tool stack?