Chapter 41 Quiz: The Long-Term Partnership
Question 1
What is the key distinction between "using AI" and "practicing with AI"?
A) Using AI involves free tools; practicing with AI involves paid subscriptions B) Using AI is transactional (serving an immediate purpose); practicing with AI is ongoing, reflective, and directed toward continuous improvement C) Practicing with AI requires formal AI training; using AI does not D) Using AI is for everyday tasks; practicing is for complex or technical tasks
Answer
**B** is correct. The distinction is between transactional use (pick up the tool, get what you need, put it down) and practice (an ongoing relationship that compounds over time — you're getting better, you revisit and refine, your professional identity evolves in relation to the tools). Practice has direction; use is neutral.Question 2
What characteristic most distinguishes the "Expert" stage from the "Competent" stage in AI proficiency development?
A) The expert uses more expensive AI tools B) The expert has flexibility and judgment for novel situations, while the competent practitioner pattern-matches on familiar situations C) The expert uses AI for more tasks than the competent practitioner D) The expert has completed formal AI training programs
Answer
**B** is correct. The competent practitioner has reliable approaches for familiar task types but struggles when encountering something new or when AI behaves unexpectedly. The expert has developed genuine judgment — they can reason about what's happening and adapt their approach when standard patterns don't work. This flexibility is what distinguishes the stages.Question 3
According to the chapter, what is the most important characteristic of expert AI practitioners?
A) They know all the features of the AI tools they use B) They use AI for as many tasks as possible C) They have genuine judgment about when AI helps and when it doesn't — and the willingness not to use AI when it doesn't help D) They have the largest prompt libraries
Answer
**C** is correct. "Knowing when not to use AI" is described as perhaps the most important characteristic of expert practitioners. This judgment — developed through experience and reflection — is what separates practitioners who use AI as a genuine professional tool from those who have it as a reflex or habit. The expert's AI use is chosen, not automatic.Question 4
What does Raj find most concerning about junior developers' AI use, two years into his AI-augmented practice?
A) That junior developers are using AI tools without approval B) That AI assistance may be short-circuiting the debugging and problem-solving struggle that builds genuine engineering skill C) That junior developers are spending too much time learning AI tools instead of coding fundamentals D) That AI-generated code is replacing the need for junior developers
Answer
**B** is correct. Raj's concern is about the developmental dimension of hard work: struggling through a difficult bug, working through a complex problem from first principles — this is how engineering skill builds. When AI handles these challenges, junior developers produce working code but miss the learning that the struggle would have provided. Raj's response is to deliberately create AI-free opportunities for junior developers — not because AI is bad, but because some learning requires the struggle.Question 5
The "AI-augmented identity" question refers to:
A) Whether AI tools have unique personalities that affect how you work with them B) The practical question of how AI changes how you think of your work and your professional identity C) Whether AI tools should be identified as authors when they generate content D) The question of whether AI has consciousness or identity of its own
Answer
**B** is correct. The "AI-augmented identity" question is explicitly a practical one: when AI can draft everything you write, analyze everything you analyze, and code much of what you code, what is your professional relationship to those activities? Are you still a writer, an analyst, a developer? The question doesn't have a universal answer — it has each practitioner's individual answer, shaped by their domain, values, and relationship with their work.Question 6
The chapter identifies three reasons to practice skills independently even when AI can do them. Which of the following is NOT one of those reasons?
A) Skills that are developmental (where the process builds expertise) B) Skills that build domain expertise (deep understanding that AI amplifies) C) Skills that demonstrate to clients that you don't depend on AI D) Skills that maintain professional independence
Answer
**C** is correct as the "not one of those reasons." The three reasons identified are: developmental skills (where the practice is the point), domain expertise-building skills (where doing the work is how you develop the knowledge that makes your AI use valuable), and professional independence skills (maintaining competency in case AI is unavailable or restricted). "Demonstrating to clients" is not in the chapter's framework — though it may be a valid consideration in specific contexts.Question 7
What is the purpose of the quarterly "Trust Calibration Check" in the practice review framework?
A) To determine how much to trust AI company communications B) To update your calibration — where AI is more or less reliable than you've been treating it — based on the past quarter's experience C) To decide whether to continue paying for AI subscriptions D) To assess whether AI has become more or less trustworthy as a general technology
Answer
**B** is correct. The trust calibration check is a systematic review of whether your working trust model is still accurate: Where have you found AI to be less reliable than you were treating it (leading to adding verification steps)? Where have you been over-verifying things AI consistently gets right (leading to removing unnecessary steps)? Calibration is not a one-time activity — it requires regular updating as your experience accumulates and as AI capabilities change.Question 8
Which of the three frames for AI — tool, partner, or threat — does the chapter recommend?
A) Tool, because it maintains the clearest professional identity and agency B) Partner, because it most accurately captures the collaborative dimension of AI use C) Threat, because healthy skepticism is the most important quality in AI use D) None of the three exclusively — the chapter suggests expert practitioners incorporate elements of all three while developing a frame that fits their professional identity
Answer
**D** is correct. The chapter explicitly doesn't recommend one frame over others. Instead, it notes that each frame captures something real: AI is a powerful tool (agency, accountability), working with which has collaborative dimensions (the quality of the interaction matters), and the development of which raises legitimate questions (about skills, professional value, human judgment). The frame that serves you best is the one that lets you work effectively, maintain appropriate skepticism, and feel genuinely secure — and that's individually determined.Question 9
What do the research findings on "reflective practitioners" show?
A) Reflective practitioners are slower to develop AI skills because they overthink B) Practitioners who deliberately reflect on their AI use show significantly faster skill development than those who use AI regularly but unreflectively C) Reflective practitioners are at higher risk of overthinking and AI dependence D) Reflective practitioners tend to use AI for fewer tasks than non-reflective practitioners
Answer
**B** is correct. The research finding on reflective practitioners is clear and important: deliberate reflection — reviewing what worked, iterating on prompts, building on experience — produces significantly faster skill development than equivalent amounts of unreflective AI use. This is why the quarterly review, the prompt retrospective, and the habit of noting what worked and didn't work are not optional elements of an effective practice — they're the mechanism by which experience becomes expertise.Question 10
Elena describes herself as "more confident and more humble at the same time" after two years of AI-augmented consulting practice. What does she mean?
A) More confident in AI tools; more humble about her own expertise B) More confident about AI's capabilities; more humble about its limitations C) More confident in what AI can do for her work (expanded capability); more humble about where her genuine value lies (the things AI doesn't help with) D) More confident in her client relationships; more humble about her analytical ability
Answer
**C** is correct. Elena's "more confident" refers to knowing what AI can do for her specific work — she has workflows that reliably produce high-quality deliverables, and her business has grown because of this expanded capability. Her "more humble" refers to clearer understanding of where AI doesn't help: building trust with clients, understanding what a client's real problem is, thinking through genuinely novel situations. The paradox is that AI's help has made her more confident in her expanded capacity while also making her clearer about — and more comfortable with — the limits of that capacity.Question 11
What does "mastery" mean in the context of AI use, according to this chapter?
A) Having completed all available AI certifications B) Using AI for more than 80% of professional tasks C) A fixed skill level where there is nothing left to learn D) Not a fixed destination, but a way of working — ongoing, reflective, adaptive — that keeps getting better
Answer
**D** is correct. The chapter explicitly reframes "mastery" as a way of working rather than a destination. Because AI tools evolve, what "expert" means shifts. What's stable in mastery is the relationship with practice: ongoing, reflective, adaptive, grounded in domain expertise. The practitioner who has "mastered" AI use isn't one who has figured out everything — it's one who has developed the habits and judgment to figure out what they need to know, as they need it.Question 12
The chapter's research summary on long-term AI adoption identifies what as one of the most significant findings?
A) Most practitioners plateau after six months of AI use B) The "complementarity premium" — the value of combining AI capability with domain expertise — grows as practitioners develop deeper expertise, not just deeper AI skill C) Long-term AI users develop overconfidence that makes them less effective D) The skill ceiling for AI use is reached within the first year for most practitioners