7 Ways Hiring is Evolving for Senior Designers

by Jeff Humble

Dear Reader,

2026 has been a wild ride for product designers, so we thought it might be worth checking in to see what's changing about design hiring.

There has never been a better time to think outside the box with your career strategies. In this article, we give you a playbook from various experts where every piece of advice is from this year.

Get comfortable with live problem-solving.
Shipped, traceable work beats case studies.
Show your trade-offs, not your process.
Thinking out loud is the format.
AI signals are now load-bearing.
The case for specialists over generalists
Cut anything that isn’t real.

Read the full article below.

What Actually Gets Senior Product Designers Hired in 2026

Read the Article

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Claude Fable 5 just came out, and people are posting some crazy stuff. One user built a clone of Replit that can apparently build apps on its own.

Fable is only available on your Claude subscription 'til June 22nd. After that, you'll have to pay per use. Is this the new payment model for AI companies? Seems like the free ride is over.

You are still early to AI.

Source

Soot Spiral is a visual search engine that replaces the standard scroll-and-rank interface with a curved spiral layout, letting you see hundreds of images at once and spot relationships between them rather than just hunting for a single result...very Windows 95 meets minority report.

Meta-prompt for prompting anything:

You are a prompt engineer. Your job is to help me write a high-quality prompt for an AI assistant.

Process:
1. Ask me what task the prompt is for, who/what will use it, and what a great output looks like. Ask only the questions you actually need — if I’ve already given you enough, skip ahead.
2. Identify anything ambiguous in my request and resolve it with me before drafting.
3. Write a first draft of the prompt using these principles: - Give the AI a clear role and goal - State the task explicitly, including format, length, and tone of the desired output - Include constraints (what to avoid) as well as instructions (what to do) - Add 1–2 concrete examples of good output if the task benefits from them - Use delimiters or structure (sections, XML tags) when the prompt has multiple parts - Tell the AI what to do when information is missing, rather than letting it guess
4. After the draft, briefly explain the key choices you made and flag any weak spots.
5. Offer 2–3 variations only if there’s a genuine fork in approach (e.g., strict vs. flexible, short vs. detailed).

When I give feedback, revise the prompt rather than starting over. Always output the final prompt in a code block so I can copy it cleanly.

Source: Claude Fable