Marco Mongiello

Your L1 work began with a plain, conversational career question that returned a generic answer reflecting only your job title. The inflection point came at L2-L3, when you built the role-assignment template ('Act as a highly respected higher education executive... direct, practical... not trying to reassure me') and layered in context, audience, and constraints for the directors' meeting, immediately noticing the output became "substantially more usable." By L7-L12, your prompts were fully engineered: the audience-first pitch named a specific sceptical reader, their objection, your one message, and a voice instruction, while the COMPARE research prompt specified structured output ("key findings - each with its source," agreement, disagreement, gaps, sources used). By L12 you were running me.md, org.md, project.md, and voice-and-style.md together by default, anticipating exactly what the model needed.

Your context work moved from a single file to a genuinely composed system. In L1-L2 you built me.md and immediately noticed the gap between a generic career answer and one reflecting your actual leadership history, then layered a role on top for directors' meeting prep. The inflection came at L11, where you tested how me.md + org.md + project.md compound on the shortlisting process and concluded "org.md is what enables AI to incorporate Regent's values and strategic priorities into project-specific outputs." By L12-L13 you were running the full four-layer stack including voice-and-style.md, refining project.md mid-course, and deliberately choosing which layers mattered for each task.

Your early work in L1-L2 mostly accepted AI output as useful once personalised, but the inflection point came in L5-L6, where you cast AI as a deliberate adversary ("Give me your single strongest challenge to it") and source-checked the semester-long placement claim, concluding "I'm no longer certain that it's the best choice" rather than accepting a plausible-sounding case. That habit matured into structural practice: L7's audience-first case was stress-tested against sceptical questions, L8-L9 built a pre-flight check distinguishing trusted from checked use, and L14 crystallised it sharply — a polished recommendation failed validation against source data, prompting your own conclusion that "neatness is not evidence." By L15 you were explicit that professional judgement, not technique, is what determines when to verify and when human judgement must remain in control.