Methods · Working with the tool itself · Short guide
K20
Session ownership audit
Mark every paragraph 'I generated' or 'AI generated' and count the ratio, so you can't argue with a number about who did the thinking.
When to use it
- You are proud of a draft and suspect the reasoning spine is mostly AI.
- A transcript review suggested low ownership and you want counts.
- You need a number you cannot argue with about who did the thinking.
What to ask AI
Type something like: “Here is our transcript: [ ]. Do not re-answer content. Help me tag ownership (I / AI / mixed) line by line, then tally.”
Ask what ratio would be healthier for learning this skill, and one rule to get there.
Keep the hard part on your side: you accept the tally and change the next session’s rules.
How it helps
If the tool does the cognition, you don’t build it.
Ownership counts make invisible substitution visible.
Mark every paragraph I-generated or AI-generated, then look at the ratio.
Pride in the product with 90% AI tags on the reasoning is the failure mode this catches.
How to run it
- Paste the work or transcript.
- Tag I / AI / mixed without rewriting content.
- Tally. Compare to a target ratio for this skill.
- Set one rule for next time: attempt first, ask-only mode, or no draft generation.
- Re-audit after the next session.
Example exchange
Here’s the transcript from my essay-drafting session. Don’t re-answer the content, help me tag who owned each part, line by line, then tally it.
Thesis paragraph: mostly AI. Example 1: mixed. Example 2: you. Conclusion: mostly AI. On reasoning-bearing lines, that’s about thirty percent you and seventy percent AI.
That’s lower than it felt. What’s a healthier ratio if I’m trying to learn how to argue?
For this skill, draft your claims first. Next rule: no paragraph generation until you paste your own outline bullets.
Copyable prompt
Here is our transcript: [ ].
Do not re-answer content. Help me tag ownership (I/AI/mixed) line by line, then
tally. Ask what ratio would be healthier for learning this skill and one rule to
get there.
The Tell
Here is how you know this method has flipped: pride in the product, and 90% AI tags on the reasoning.
You owned the glow, not the thinking.
Set one rule that raises your next tally before you polish further.
Principle evidence
Strength of the underlying learning idea, not a claim about AI products.
The underlying learning idea is rated moderate. Productive struggle and desirable-difficulty arguments caution against over-scaffolding: if the tool does the cognition, the learner doesn’t build it. Counting ownership makes substitution visible. Principle moderate for ownership-as-metacognition; AI paragraph audits are delivery-speculative.
AI delivery evidence
Whether an AI tutor delivers this method well is a separate question.
Automated ownership tagging can err or flatter. Delivery speculative. Trust the tally only after you agree with the labels.