Leveraging my digital critic

I use several flavours of AI as my pocket crit. Today, Gemini is helping me synthesize a few important points. I’m microblogging them from my Obsidian vault so it’s easier for colleagues to join the discussion.

1.The Cognitive Load of Visuals: Intro & Theory.

Tie Kahneman's System 2 thinking to how humans process dense data vs. clean visualisations. Explain how AI mitigates human cognitive offloading risks.

2.The AI Video & Audio Landscape: Tools & Platforms.

Introduce the practical tech stack for multimedia production (including mobile journalism workflows). Contrast surface-level content generation with deep, sustainable knowledge gathering.

3.Prompting for High-Precision Visuals: Framework Application.

Show a side-by-side comparison of a lazy prompt vs. a highly structured GCAO / RACE prompt used to clean and graph complex R&D data sets.

4.Breakout Challenge: Automated Pipeline: Hands-on Exercise.

We need to give clear, numbered instructions for participants to upload a technical document, ask an AI to extract key patterns, and map it into a functional workflow diagram.

5.The Sovereignty Warning: Data Security & PKM.

I don’t think people realise how maintaining an air-gapped second brain offers a clear advantage when trying to keep data private. I believe in the absolute necessity of backing up prompts (they’re in my Swipes folder) and workflows locally (using markdown/Obsidian) to prevent total data dependency loss.