When to Use AI and When to Use a Human

“As a tool, I love it… I also recognise that it’s the end of the world kind of thing, it’s horrible.” — Laurie Anderson, on AI, 2024

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A rotary telephone handset and a modern smartphone resting side by side.

A rotary telephone handset and a modern smartphone in 8-bit pixel art, approximately 56x40 pixels scaled up, resting side by side on an implied flat surface (no surface drawn, just the two objects). The handset is rendered with the curved weight of a 1970s Bell-style receiver, coiled cord trailing off and cut at the frame edge. The smartphone is a plain dark rectangle with a single screen-glow pixel row, no visible icons or UI. Palette: Black for the receiver body and phone bezel, Charcoal for shading, Blue for the phone's screen glow, Recycled for the receiver's highlight edge. Colored in ballpoint pen and pencil per the inline-graphics style. **True pixel grid --- non-negotiable.** Actual 8-bit pixel art, not a blocky illustration. Render on a literal uniform grid of axis-aligned square pixels, as if captured from an NES framebuffer and enlarged with nearest-neighbor scaling. Every pixel the same size, hard edges between colors, no anti-aliasing, no smooth curves, no sub-pixel detail. The viewer should be able to count pixels along an edge. **No meta-elements --- non-negotiable.** Only the two phones. No color swatches, palettes, legends, keys, hex codes, callouts, arrows, sidebar text, or any UI explaining the colors or technique. No caption text inside the image. **Background: pure white, `#FFFFFF`, flat.** Not gray, not off-white, not cream, not paper texture. The build removes white to create transparency, so any gray will show as a halo in the ePub. **Watch out for:** - NO hand or figure holding either phone --- object-focused - NO readable text, icons, or app UI on the smartphone screen, just a flat glow color - NO cable connecting the two objects --- they are simply adjacent - NO speech bubble, thought bubble, or dialogue text

This is the most honest chapter in the book.

Your Agent is genuinely better than a human for some tasks. Humans are genuinely better for others. The mistake most people make — in both directions — is assuming the tool they have is the right tool for every job.

Where AI has the edge

Tasks where consistency matters more than inspiration. Proofreading a contract. Checking a budget for errors. Generating a complete list of questions for an appointment. Humans get tired, distracted, and bored. Your Agent does not.

Situations where you need information without social risk. The question you’re embarrassed to ask your doctor. The legal term you should already know. The financial concept your friends all seem to understand. Your Agent has no memory of your ignorance and no opinion of you. The information is the same whether you ask with confidence or with shame.[1]

First drafts of anything where the blank page is the obstacle. Starting is the hardest part of most writing tasks. A draft from your Agent that is 70% right is infinitely more useful than a blank document. You bring your voice to the revision. Your Agent gets you past the starting block.

Pattern recognition across large amounts of text. Medical bills, insurance policies, contracts, financial statements. Humans read these linearly and lose track of details. Your Agent holds the whole document in view simultaneously and will find the clause you missed.

Where humans have the edge

Anything requiring lived experience and emotional resonance. A eulogy that sounds like you — not a template. A letter to your estranged father. A speech at your child’s wedding. Your Agent can give you a structure and a starting point, but the version that matters comes from inside your actual life.

Situations where accountability matters. Your lawyer has a license to lose. Your financial advisor is regulated. Your doctor carries malpractice insurance. Your Agent carries none of these things. When the stakes are high enough that someone needs skin in the game, get the person with skin in the game.

Creative work where surprise and imperfection are features. The story that goes somewhere unexpected. The design that breaks the rules correctly. The solution that shouldn’t work but does. Your Agent optimizes for coherence and appropriateness. Genuine creativity often requires incoherence and inappropriateness as a first step.

Relationships. Your Agent can help you prepare for the conversation, write the first draft of the message, and think through what you want to say. It cannot have the conversation for you. The moment of human contact — the look on someone’s face when you show up and say the true thing — is not delegatable.

Ethical judgment calls where the situation is genuinely novel. Your Agent will give you frameworks and considerations. It will not carry the weight of the decision for you, nor should it. Some decisions require a person who will live with the consequences.

The honest middle

Most real tasks are hybrids. Use your Agent to do the structural work — the research, the first draft, the option-mapping, the translation from jargon to plain language. Bring your own voice, judgment, and relationships to the finish line. The best outcomes from this book will come from people who treat their Agent as a capable collaborator rather than an oracle or a vending machine.[2]

The practical question, then, is how to make sure the collaboration is actually reliable — especially when the stakes are high. Chapter 32, Getting Consistent, Reliable Answers, covers that: specific techniques for getting consistent answers, including a single calibration question that keeps you from over-trusting or under-trusting the results.

  1. [1] This is documented in research on online health information seeking: people managing stigmatized conditions are significantly more likely to turn to the internet for health information and less likely to raise the same questions with a clinician (Berger, Wagner & Baker, 2005, Social Science & Medicine, 61(8), 1821–1827). The absence of social risk in AI interactions is not a bug — it is a genuine access feature for populations who have historically been underserved by professional services.↩

  2. [2] The concept of the “centaur” — human-AI collaboration outperforming either alone — emerged from chess research following the introduction of computer analysis tools. Kasparov, G. (2010). “The Chess Master and the Computer.” The New York Review of Books, February 11, 2010. Reflecting on freestyle chess tournaments, Kasparov observed that amateur human players combined with chess software and a superior process outperformed both grandmasters and the best computers operating alone. See also Kasparov (2007), How Life Imitates Chess. The same principle applies here: your judgment plus your Agent’s analysis is better than either in isolation.↩