Use AI to translate your technical work into stakeholder-friendly language that non-experts actually understand.
You've built something, solved a problem, or completed work that involved complexity—but now you need to explain it to people who don't share your background. Your manager wants the business impact, not the process details. Your client wants to know what changed, not how you did it. Your cross-functional teammates need to understand enough to do their part, but they don't have your expertise. This is where miscommunication happens: you know your work inside-out, but the words you'd naturally use mean nothing to your audience. AI can serve as your translation layer. Feed it your technical explanation, specialist terminology, or detailed process notes, and ask it to rewrite everything for a specific non-expert audience. Tell it who's reading (executives, clients, other departments), what they care about (outcomes, timelines, costs, risks), and what they don't need (methodology, jargon, granular steps). AI will strip out assumptions, replace complex terms with plain language, and restructure your message around what actually matters to that stakeholder group. This works for project updates, status reports, explanations of delays, requests for resources, or any moment where you need buy-in from people who don't live in your world. The goal isn't to dumb things down—it's to make your work accessible and actionable for people who need to trust it, approve it, or act on it without needing to become experts themselves.
Try this prompt today
“I need to explain the following work to [specific audience: my executive team / a client who isn't technical / the marketing department]. Here's my explanation: [paste your current version]. Rewrite this in plain language that focuses on what changed, why it matters to them, and what happens next. Remove jargon and insider terms. Make it clear enough that someone outside my field can confidently share it with others.”
March 10, 2026
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