The AI Literacy Audit | Harvest Kernel

I have personally completed at least one real task with an AI tool in the last month.

I can explain, in plain language, the difference between an AI tool that reasons and one that predicts the next word.

I know which AI tool I would reach for first, and why.

I have tried a task with AI, gotten a weak result, and improved it on a second attempt.

I use AI for the same kind of task often enough that it no longer feels unfamiliar.

I can tell when an AI response is wrong, thin, or fabricated, without needing someone to point it out.

I have adjusted how I write a request to AI and seen the result measurably improve.

I could walk a colleague through a basic AI task without preparing first.

I have used AI on a task that genuinely mattered to my real work, not just a practice exercise.

I have redesigned an assignment, rubric, or process so that AI strengthens it rather than shortcuts it.

I have had an honest, useful conversation with a student or colleague about responsible AI use.

I can judge when NOT to use AI for a task, and explain that choice.

I have created something with AI that I shared with, or handed to, a colleague.

I have taught at least one other person an AI skill that they now use.

I could confidently lead a short AI literacy session for my team or department.

My AI practice has produced a workflow, template, or guide that other people now rely on.

AI literacy education built on the SeedStacking™ methodology. Small daily wins that compound into genuine fluency.

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