AI Business Advice: Check the Fit Before You Act
AI business advice needs to fit the business receiving it. Explore a Kenyan field experiment and a practical way to examine assumptions before acting on a recommendation.
An AI’s Pause Can Change How Its Answer Feels
Response time can shape how an AI answer feels. Explore research on waiting, users’ different expectations and a practical way to assess the completed answer.
AI Spreadsheet Cleaning: Keep Every Product Code Intact
Before asking AI to clean a spreadsheet, protect product codes and other identifiers. A worked example shows why correct row counts and totals can miss altered codes.
AI Chemistry: Keep the Experiments That Did Not Work
Unsuccessful chemistry experiments can help AI models when their meaning is clear. Explore the research, the definitions of failure and the records worth keeping.
Before You Approve a Music Master, Match the Playback Loudness
A practical listening workflow for independent musicians: compare masters at matched loudness, understand streaming guidance and give precise revision feedback.
AI Advice: Give Every Human Adjustment a Reason
Forecasting research offers lessons about human control over AI advice. Distinguish a correction, a preference and a planning margin before judging the result.
When Your AI Tool Changes, Recheck the Work It Already Does
After an AI tool changes, check the tasks you already depend on. A practical method for saving test cases, comparing results and choosing a working fallback.
AI for Ancient Inscriptions: Finding a Useful Parallel
Explore how AI helps historians find comparable ancient inscriptions, assess competing interpretations and keep surviving text distinct from proposed restorations.
Newsletter Analytics: Match the Metric to the Edition
Give newsletter metrics a purpose. Understand the limits of opens and clicks, separate people from events and choose evidence that fits each edition.
When AI Says Sorry, Look for Evidence of Correction
AI apology research reveals differences between preferred wording, reported trust and continued use. Check what changed before relying on a corrected answer.