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Designer → AI-assisted workflows

For: A designer who wants to use AI across the design workflow — generation, prototyping, brand consistency — without losing the craft.

You will be able to: You can use AI to move from idea to clickable prototype faster, stay on-brand, and ship interactive design artifacts without waiting on engineering.

55 min total·7 guides·About 55 minutes of reading, ~3 weeks at 20 min/week.

Steps in order

  1. 01

    Getting started with AI: a 30-minute starter path

    A guided reading order if you are new to AI. What to learn first, what to skip, and the three habits that separate people who get value from AI from people who give up after a week.

    — Foundation. The patterns transfer to image generation and prototyping work, even though most examples are text.

    6 min·/learn/ai/get-started
  2. 02

    What makes a prompt actually work

    The patterns that hold across every model — clarity, context, examples, format constraints. The "brilliant new employee" mental model, and why showing your prompt to a colleague is the test that catches most failures.

    — Designers benefit disproportionately from prompt craft — visual outputs amplify both clarity and ambiguity.

    8 min·/learn/ai/prompt-craft
  3. 03

    Few-shot examples: when they help, how to write them

    When examples are the single biggest unlock you have, and when they hurt. The rules: relevant, diverse, structured. How many is enough. Why one bad example can corrupt the whole output.

    — For brand-consistent generation: showing the model 3 examples of your style beats describing it.

    6 min·/learn/ai/prompt-craft
  4. 04

    AI for designers: from blank canvas to brand-consistent assets

    Image generation workflows, mockups, mood boards, brand systems. When to use Midjourney vs Recraft vs Figma AI.

    — The applied chapter. Image generation, brand-consistent assets, working with engineers on AI features.

    7 min·/learn/ai/use-cases-by-role
  5. 05

    Structuring prompts with XML, roles, and sections

    Why <tags> work better than plain text for non-trivial prompts. How role assignments steer behavior. The hierarchy that makes long, mixed-input prompts work — context, instructions, examples, input.

    — For complex multi-part prompts: image gen with strict brand rules + composition + style references.

    7 min·/learn/ai/prompt-craft
  6. 06

    Vibe coding: prompting your way to a working app

    The describe to generate to test to refine loop. What "vibe coding" actually means in practice. Where it breaks.

    — Designer-friendly prototyping. Build a working interaction without writing production code yourself.

    6 min·/learn/ai/build-with-ai
  7. 07

    When (and why) to graduate from an AI builder

    Five signals it is time to leave Lovable, Replit, Bolt, v0, Emergent or Base44. What migrating actually involves, and what graduating does not fix.

    — When the prototype outgrows the no-code tool. The bridge to owning your output end-to-end.

    7 min·/learn/ai/ship-own-stack

When you finish this path

You can use AI to move from idea to clickable prototype faster, stay on-brand, and ship interactive design artifacts without waiting on engineering. For the next step, browse other paths or the full library.