Research Notes
AI and productivity notes worth keeping
A secondary library of source-backed notes on AI, execution, and learning workflows. These pieces are designed to clarify what matters before you turn it into action.
Deep research only helps if the report becomes next actions
A research note on ChatGPT deep research and the real productivity bottleneck that appears after the report is generated.
Deep research is best for questions with tradeoffs, not simple fact lookup.
NotebookLM Audio Overviews work best as review, not replacement
A research note on why AI audio summaries are gaining traction and how students can use them without replacing active recall.
Audio summaries are strongest for preview and review, not first-pass mastery.
AI literacy is becoming an execution skill, not just a prompt skill
A research note on why AI literacy now means judgment, verification, and process design rather than prompt tricks.
AI literacy is mostly about judgment and verification.
AI is more useful as augmentation than full autopilot
A research note on why AI is currently more useful as augmentation than full autopilot for study and knowledge work.
Most real-world value still comes from speeding up parts of a task, not eliminating the whole task.