Should AI Handle This?
Not sure whether to delegate a task to AI, collaborate with it, or just do it yourself? This interactive tool — inspired by Jeff Su's breakdown of Professor Ethan Mollick's Agentic Cost-Benefit Framework — helps you decide in seconds whether to hand a task to AI, collaborate with it, or just do it yourself.
How to read the recommendation
The AI Decision Tool gives you one of three recommendations based on how much time the task takes, how likely AI is to succeed, and how much effort it takes to run AI on it.
Delegate to AI. When the task would take you a long time to do by hand, AI is highly likely to produce a usable result, and the setup cost is low. This is where AI creates the biggest productivity wins. For DMOs, common examples include: drafting social posts, summarizing research reports, generating first-draft proposals, and formatting data.
Collaborate with AI. When the task is important but AI success is uncertain. You use AI to generate a draft or option, then review, edit, or redirect. For DMOs: writing strategic narratives, board reports, partner communications — anywhere your judgment needs to shape the output.
Do it yourself. When the task is short, AI's chance of getting it right is low, or the setup effort exceeds the time you'd save. For DMOs: quick decisions, relationship-sensitive emails, high-stakes final edits, and tasks where you already have strong muscle memory.
The tool is a starting point, not a law. The real skill is knowing when to break the rule.