By William Ashley Johnson

This second post in the Power of the Prompt series explores how artificial intelligence (AI) prompt writing in professional settings depends on the same rhetorical habits that shape effective workplace communication: audience awareness, purpose, tone, and context. Drawing on current research in technical and business writing, it argues that prompting AI is less a technical trick than a rhetorical act shaped by situation and consequence. In the workplace, the power of the prompt lies not just in getting words on the page, but in getting the right words for the right situation.

Ask AI to draft a “professional update” after a project goes sideways, and it will often return three polished paragraphs of corporate fog. Everyone is “aligned.” Concerns are being “addressed.” Progress is “ongoing.” Meanwhile, the budget is bleeding out, the deadline has slipped into the abyss, and an actual human being still has to explain what happened without sounding either clueless or catastrophic.

That, I think, is where the workplace version of AI prompting gets interesting. In academic settings, a vague prompt might lead to a muddy discussion post or a summary that wanders off the page. In professional settings, the consequences tend to surface more quickly. Workplace writing has a way of exposing vagueness almost immediately. If the request is too loose, the response may sound smooth enough while still missing the point, the audience, or the stakes.

The shift matters because workplace writing makes rhetorical pressure harder to ignore. Audience, purpose, timing, and hierarchy press on the message immediately, and the consequences of getting them wrong tend to arrive quickly. A status update to a supervisor, a follow-up email to a client, a meeting summary for a cross-functional team, and a memo documenting delay all ask for different balances of tone, detail, and urgency.

That is why I keep coming back to the word “professional.” People use it as if it explains everything. More often than not, it explains very little. Professional to whom? A supervisor who wants the bottom line in two sentences? A client who needs reassurance without spin? A colleague who already knows the backstory and just wants the next step? In workplace writing, sounding polished is easy. Sounding useful takes more work.

Research in technical and business writing helps sharpen that point. Ranade et al. (2025) approach prompt design through the rhetorical situation rather than through back-end tinkering or purely technical optimization. They argue that a prompt sets the context for the conversation, tells the model what information matters, and signals the desired form and content of the response (Ranade et al., 2025). Their larger point feels especially useful here: prompts work better when they account for the same things strong writing has always had to account for—context, audience, purpose, and constraints (Ranade et al., 2025). That framework reaches beyond any single workplace genre. It is designed to help writers shape prompts across contexts and professional settings. Their study focuses on technical and professional communication, including genres like emails, memos, and product documentation, but the method is presented as generalizable across fields (Ranade et al., 2025).

That lands exactly where it should. When professionals use AI to draft an email, summarize a meeting, or shape a proposal, they are packing audience, purpose, and context into the request from the start. Who is this for? What happened? What needs to happen next? How much context is enough? How direct can the tone be? What cannot be said too bluntly? Those are not futuristic prompt-engineering puzzles. They are the same rhetorical questions workplace writers have always had to answer, now compressed into the front end of the process.

The business-writing side of this conversation points in the same direction. MacArthur et al. (2025) describe a tested model that integrates peer review, AI review, and reflection in a business writing course, precisely because business writing courses are especially well positioned to prepare students for an AI-infused workplace because they already teach audience awareness, genre analysis, and problem-solving. Their findings are especially useful here: students saw peers as better at understanding assignment and course context, while AI feedback was valued for being constructive and actionable (MacArthur et al., 2025). That distinction gets at the heart of workplace prompting. AI can help move prose around on the page. Human readers still have the sharper eye for whether that text actually fits the room.

I have seen versions of that mismatch often enough to distrust any draft that sounds a little too polished too soon. Ask AI for a project update, and it may give you something tidy, calm, and strangely detached from the actual mess. Ask it for a follow-up email, and it may produce a note so sanitized that no living person would mistake it for urgent. Ask it for a difficult client message, and suddenly every sentence sounds like it passed through Legal, Human Resources, and a scented candle on its way out the door. The prose may be clean, but the situation is still leaking through the floorboards.

That is the real workplace lesson, I think. In professional settings, prompting has much less to do with sounding impressive or efficient than with getting the situation clear enough for the writing to work. It is about building enough of the rhetorical situation into the request that the response can do something useful once it leaves the screen. A good workplace prompt has to account for audience, relationship, timing, and stakes. Leave out any one of those, and the output may still look competent while quietly setting you up for one more round of revision.

Maybe that is what makes workplace prompting so clarifying. In the classroom, prompts invite thinking. On the job, they still do that, but they also have to manage action. They help secure approval, summarize decisions, explain delay, document responsibility, and keep relationships from fraying under pressure. That does not make workplace prompting some entirely different kind of literacy. It simply makes the stakes of specificity much easier to see.

Every effective workplace message begins with a series of shaping decisions about audience, purpose, tone, timing, and constraint. AI did not invent those decisions. It just made them harder to ignore. The workplace prompt matters for the same old reason workplace writing has always mattered. Somebody still has to make the request clear enough for the words to do useful work.

References

MacArthur, M. M., Minnillo, S. M., Sperber, L., Whithaus, C. W., & Stillman, N. S. (2025). GIFT-AI: Teaching the game and leveling the field: Peer and AI review + reflection in a business writing course. Frontiers in Communication, 10, 1615752. https://doi.org/10.3389/fcomm.2025.1615752

Ranade, N., Saravia, M., & Johri, A. (2025). Using rhetorical strategies to design prompts: A human-in-the-loop approach to make AI useful. AI and Society, 40, 711-732. https://doi.org/10.1007/s00146-024-01905-3. (Original work published 2024)

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About the Author:

William Ashley Johnson teaches English composition and rhetoric at Purdue Global, where his work explores the intersections of user experience (UX), writing pedagogy, and generative AI in online learning environments.