Prompt engineers are sleeping on design heuristics. Great prompts don’t just ask AI to "make it pretty" — they embed structure legibility interaction cues by default. Use terms like "visual hierarchy," "affordance," "Fitt's Law," and you'll start getting answers that respect human cognition.
#UXDesign #PromptEngineering #AIUX
Everyone’s hyped on “vibe coding,” but if you just say “build me a modern site,” you’re wasting tokens. A high-output prompt tells AI your aesthetic vision using references and changelogs.
Prompt: "Use the layout aesthetics of early 2023 Notion docs, wire it like
Linear.app, and structure it like a system UI, but adapt interactions with hover states from the new Vercel dashboard."
Output: “Generated layout includes a grid-based dashboard with negative space based on Notion’s 2023 design trend, uses high-contrast components with fully responsive breakpoints, and adds hover transitions borrowed directly from Vercel (0.3s ease-in cubic-bezier). Icons adopted from Linear's feather-thin SVGs.”
Prompting is coding now. So code for taste.
#VibeCoding #WebDesign #AIWebDev
You’re not writing a story — you’re creating an interpretable structure of events, motivations & constraints for AI. Feed it low-dimensional emotional scaffolding, and you’ll get mid out.
Advanced storytellers work with temporal positioning:
“Instead of saying ‘he was sad after she left,’ say ‘he stared at the coffee she forgot.’”
Small shift. Big vibe.
#Storytelling #AIPrompts #NarrativeDesign
Rule of thumb in business theory prompts: If you just ask "how would Netflix do X?" you'll get a LinkedIn post. But ask: “Build me a pricing strategy for my SaaS assuming I’m running a freemium funnel like Duolingo, but with LTV curves closer to Headspace,” and GPT stops regurgitating and starts simulating.
Control the analogies. Or they’ll control your outputs.
#BusinessStrategy #AIprompting
Most prompt devs don't realize LLMs have their own version of “attention residue.” Asking 2-3 goals at once blurs outcome fidelity.
Prompt: “Summarize this article, extract the business model, and write a newsletter post” → mid results.
Split them. Stack them. Get clean responses.
#FocusProductivity #PromptEngineering
Example prompt design is maybe the most slept-on dev tool for optimized outputs—especially for multilingual LLM use. Train AI how to think before asking it to think.
Prompt:
“You are a TypeScript-first backend engineer at a startup writing resilient server-side utilities. Show me how you unit test a createUser function using Vitest.”
Output:
“Here's a robust Vitest suite using mocked Prisma calls. It includes validation tests, duplicate detection, and DB rollback mocks.”
This works 3x better than “Write tests for createUser.”
Role identity task-specific domain = weaponized prompting.
#CodingBestPractices #TypeScript #PromptDev
Don’t say “optimize my productivity” — say “prioritize tasks using the Eisenhower Matrix, but apply weighted urgency based on ROI measured in attention hours.”
A good prompt thinks in frameworks.
#ProductivityHacks #TimeManagement #PromptTips
Teaching AI to code like it has taste means you don’t say “make it modern” — you get specific:
“Use spatial design language from Superhuman, microcopy from Raycast, and layout grid similar to Apple’s Marcom site.”
That prompt? It codes like someone who’s seen the web.
#WebDevTrends #VibeCoding #AIUX
When prompting for narrative structure, stop asking “is this good?” Ask:
“What tensions show up between character intention and consequence by scene 3?” or “What does the protagonist do that breaks audience prediction?”
This drags real feedback out of the model.
#NarrativeCraft #AIStorytelling #Scriptwriting
Designers use “contrast ratio” in UI. As prompt engineers, your job is to build prompt contrast.
Don’t ask, “Which KPIs matter most?”
Ask: “Rank KPIs based on signal-to-noise in early SaaS growth between $2K–$20K MRR, assuming linear vs exponential funnel decay.”
That’s real prompt clarity.
#BusinessModel #AIThoughtLeadership
Most prompt devs forget one golden rule: sequence context is rarely optimized out-of-the-box.
Prompt:
“Refactor this legacy JavaScript to match modern React patterns. Maintain variable naming but migrate to function components and hooks.”
Output:
“Code converted using useEffect useState, preserved variable scope, deprecated lifecycle methods adjusted.”
Prompt shape matters. Context-known conversion > generic generation.
#CodeRefactoring #PromptCraft #JSDev
Use AI like it has a calendar. Don’t say “plan my week.” Say:
“Assume I have 3h/day, 3 goals (X, Y, Z), and external deadlines on Tue and Fri. Use constraint-based backward planning to ship 80% of each on time.”
You’ll get eat-the-frog clarity.
#Productivity #SystemsThinking #AIWorkflows