A prompt is a recipe, and AI is a line cook who has memorized every dish ever written down. Hand that cook a note reading “make food” and you get the blandest average of everything: edible, forgettable, identical to what everyone else gets. Hand the same cook a recipe with the dish, the portion, the ingredients to use and the ones to leave out, and the output has shape. The cook did not get smarter. Your instruction did.
Every technique below is a way of writing a better recipe. The ten example prompts at the end are recipes you can take straight into the kitchen.
Why is most AI writing output terrible?
AI writing tools like ChatGPT train on enormous datasets of existing text. Give them a vague prompt and they produce the statistical average of everything written on that topic. That is why AI output sounds generic. It is generic: the average of millions of documents compressed into a few paragraphs.
That average runs on passive voice, corporate jargon, hedge words, and the throat-clearing openings professional editors cut on sight. “In today’s fast-paced world” is not a sentence. It is a signal that nobody told the AI what to say. The fix is better prompts instead of better AI. Give the tool specific constraints, a defined audience, a clear purpose, and examples of what you want, and the output moves from unusable to workable.
Workable, not publishable, and the difference matters. AI output is a starting point. I develop that further in what AI does well and where it wrecks your book.
What are the five elements of a good prompt?
A prompt that produces usable output has five elements. Role tells the AI who it is writing as. “Write as a financial advisor explaining retirement planning to small business owners” produces different output than “write about retirement planning,” because the role sets expertise level, vocabulary, and perspective. Audience answers who is reading. A blog post for first-time entrepreneurs reads differently than a white paper for venture capitalists, and naming the audience forces the AI to calibrate complexity, tone, and what the reader already knows.
Format sets the shape: an email, a chapter outline, a product description, a speech, a case study. Naming it stops the AI from falling back on its favorite structure, usually a five-paragraph essay with a generic conclusion.
The last two elements are where most people fail. Constraints tell the AI what to avoid, and telling it what not to do often works better than telling it what to do. “No jargon, no passive voice, no sentences over 20 words, no opening with ‘In today’s world'” kills the worst AI habits before they appear.
Examples close the gap. If you have a sample of the style you want, include it. AI is excellent at pattern-matching, and showing it a paragraph in your target voice and asking it to continue moves the output from generic to specific on its own.
What do ten strong prompts look like?
These demonstrate the difference between vague instructions and structured ones, and each includes role, audience, format, and constraints.
1. Business book chapter outline. “Create a chapter outline for a book about scaling a consulting practice from solo to seven figures. The audience is experienced consultants earning $150K-$300K who want to grow but don’t want to manage a large staff. Each chapter should address a specific growth obstacle with a concrete solution. No motivational filler. No generic business advice. Every chapter title should promise a specific outcome.”
2. Executive bio. “Write a 150-word professional bio for a CFO who spent 20 years in manufacturing before moving to tech. The bio should emphasize the unusual career transition as a strength. Tone should be confident but not arrogant. Third person. No buzzwords like ‘passionate,’ ‘visionary,’ or ‘thought leader.’ End with something specific about their current role, not a generic statement about their commitment to excellence.”
3. Email sequence for a service business. “Write a three-email nurture sequence for a high-end interior design firm targeting homeowners who just purchased homes over $1 million. Email one introduces the firm’s approach. Email two addresses the most common mistake new homeowners make with renovations. Email three offers a free consultation. Tone is knowledgeable and direct. Each email should be under 200 words.”
4. Blog post opening. “Write three different opening paragraphs for a blog post about why most business plans fail. Each opening should use a different technique: one starts with a specific statistic, one starts with a brief story, one starts with a counterintuitive claim. No opening should use the phrase ‘in today’s world,’ ‘it’s no secret,’ or ‘have you ever wondered.’ Each opening should be under 60 words.”
5. Case study. “Write a 300-word case study about a mid-size accounting firm that reduced client onboarding time from 3 weeks to 4 days by restructuring their intake process. Use the structure: problem, approach, specific result. Include at least two specific numbers. Tone is professional but not stiff. No jargon. The reader should finish understanding exactly what changed and why it worked.”
6. Book back cover copy. “Write back cover copy for a memoir by a former combat medic who became a trauma surgeon. The book covers both careers and the psychological cost of each. Tone should be serious but not melodramatic. Under 150 words. The copy should make the reader feel the tension between saving lives and the toll it takes. Do not use the words ‘journey,’ ‘inspiring,’ or ‘powerful.'”
7. LinkedIn post. “Write a LinkedIn post about why hiring for ‘culture fit’ often means hiring people who look and think like the existing team. The post should be under 150 words, written in first person, conversational tone. Include one specific example. No hashtags. No emoji. End with a question that invites genuine responses, not engagement bait.”
8. Speech opening. “Write the opening 90 seconds of a keynote speech for a cybersecurity conference. The speaker is a former hacker who now runs a security consulting firm. The opening should grab attention without relying on a generic ‘imagine this’ scenario. Use a real-world example of a security breach that the audience would recognize. Conversational tone. No slides referenced.”
9. Product description. “Write a product description for a handmade leather journal targeted at writers who prefer analog tools. The description should emphasize the tactile experience. The feel of the leather, the weight of the pages, the sound of the binding. Under 100 words. No superlatives like ‘best,’ ‘finest,’ or ‘premium.’ Let the sensory details sell the product.”
10. Query letter. “Write a query letter for a thriller novel about a forensic accountant who discovers that a major pharmaceutical company has been laundering money through a children’s hospital charity. The letter should follow standard query format: hook, brief synopsis, comparable titles, author credentials. Under 300 words. The hook should establish stakes in the first two sentences. Comparable titles should be recent thrillers published within the last five years.” The same specificity applies whether you are drafting leadership content or a romance novel.
What do you do with the output?
From the podcast
Martin Ricketts watches people chase every new tool instead of getting better at the one they have, and he is direct about it on Leaders and Their Stories:
Instead of this tool or that tool, the prompt is infinitely more important than which tool you’re using. It’s like when I say this thing, tactics matter more than tools. How you use the tool is the really important thing.The prompt is the part you control and the part that transfers to whatever tool you use next year.
Even good prompts produce output that needs work. AI does not know your voice, your audience’s specific concerns, or the details that make content credible. Treat the output the way you would treat a rough draft from a research assistant: useful raw material that needs a professional writer’s judgment before it can be published.
Check every fact. AI fabricates statistics, invents quotes, and cites sources that do not exist. If the output includes a number, verify it. If it includes a name, verify it. If a claim sounds too perfect, it probably is. Strip the AI voice. Even with good prompts, AI falls back on patterns readers now recognize: throat-clearing openings, hedge words like “it’s important to note,” synonym cycling, and conclusions that restate the introduction. Cut those and put specifics in their place.
Then add what AI cannot: your expertise, your experience, your opinion, and the details that come from knowing the subject. AI produces structure. Insight is still your job. This is the same discipline behind making AI-generated content feel real and avoiding the phrases that mark writing as machine-made. The AI writing hub covers the rest, and if you want a book that uses AI the right way with your voice intact, that is the work I do.
Write the recipe, not the note that says “make food.”
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