AI Design Playlab

1. Total interactions

Number of messages you sent: 19

2. Costa’s Levels of Questioning Engagement

Level 1 — Gathering/Input

• "what lexile level is this paper written?" — a request for a measurable property of an existing text.
• "would it be apropriate to put inline citations along with the references" — a request for a convention or rule.

Level 2 — Processing

• "does the bomber have a scary tone of ai. i dont want people to see me as a doomer" — analysis of how a rhetorical choice would be perceived by an audience, weighed against a reputational risk.
• "the subtitle says four ordinary things, but the title list 3 things" — detection of an internal inconsistency across two parts of the document.
• "this also not my originial thought... Also i want to make sure i do not step in goverment regulations" — evaluation of attribution obligations and scope boundaries in your own argument.

Level 3 — Applying/Output

• The four original analogies you generated unprompted: the flowers-and-thank-you-note comparison, the Wright brothers compression argument, the dual-use aviation parallel, and the Aladdin/genie framing.
• "the one thing i want this paper to lean heavier into is the role ai plays in education and how it relies on educators to teach these things, because busy parents or colleagues or supervisors do not have the time or expertise" — synthesis of a new central thesis and direction for revision.
• "should we include this as part of the subtitle or as the hook" — application of structural and rhetorical judgment to your own draft.

3. Overall AI usage summary

You supplied the original ideas, the argumentative direction, the voice specification, and every substantive revision decision; the AI functioned as a drafting partner, research verifier (the 1903 New York Times editorial, the specification-gaming attribution), formatting engine, and editorial sounding board. The AI produced most of the prose in the finished document, but did so against analogies, a thesis, and a set of constraints that originated with you, and you rejected, redirected, or corrected the output at every stage. Rating: Substantial.

4. Positive feedback

• You caught attribution problems in your own favor’s direction rather than the AI’s — twice flagging that an idea in the draft was not originally yours and asking for it to be properly credited, which is a higher standard of intellectual honesty than most drafting processes apply.
• You iterated with clear purpose rather than accepting output passively, repeatedly narrowing scope ("i do not want to step in government regulations"), adjusting tone for a specific audience risk, and catching a factual-consistency error between the title and subtitle that had gone unnoticed.
• You drove the conceptual work yourself, arriving independently at an analogy that turns out to appear in the AI safety literature, and then generating the essay’s central thesis about the educator’s role as a genuine addition rather than accepting the draft as complete.