Design

Simulating failure modes and trust risks for AI features

Have AI brainstorm what could break in an AI feature and surface trust, safety, and reliability concerns early so they can be designed for during concepting and MVP scoping.

Why the human is still essential here

Humans must evaluate realistic risk scenarios, set safety/trust requirements, and choose mitigations appropriate to users and context.

How people use this

Failure Mode & Effects Analysis (FMEA) brainstorm

AI generates a first-pass list of failure modes, user harms, and mitigation ideas that the team then validates and prioritizes.

Miro / ChatGPT

Edge-case and adversarial scenario generation

AI produces test scenarios (ambiguous inputs, policy boundaries, conflicting context) to stress the concept before prototyping.

Anthropic Claude

Trust-and-safety UX checklist drafting

AI drafts a checklist for transparency, user recourse, auditability, and escalation paths that designers use to review the concept for trust risks.

Notion / Claude

Community stories (1)

LinkedIn

I built an AI Feature Design Skill using Claude Skills and I honestly didn’t expect it to become this useful.

I built an AI Feature Design Skill using Claude Skills and I honestly didn’t expect it to become this useful.

I wanted a way to design for AI products without starting from scratch every time so I turned my entire AI feature design process into a Claude Skill.

Now Claude basically co-pilots me from the first question “should this even exist?” all the way to a ready-to-present concept deck.


It runs through 6 steps together with me:


🧭 Context & Market Scan: What already exists and where real opportunities are.


🧠 AI Capability Analysis: Which AI capabilities actually make sense for the problem.


🎯 Use Case Expansion: Core scenarios, edge cases, and high-impact moments.


🗺 UX Flow & Interaction Design: How humans and AI share responsibility.


💥 Failure & Trust Simulation: What could break and how to design for trust early.


🚀 MVP Scope + Expert Pack: What to ship first plus a presentation-ready output.


The dynamic is my favorite part: Claude does the research, structuring, and heavy lifting.

I stay responsible for judgment and design decisions.


And honestly, Claude Skills feel like a completely different way of working compared to normal prompting.

I’ve started building more and more of my workflows this way and it keeps surprising me what’s possible.

Want the skill?


Drop a comment and DM me with "AI Skill" I'll send it over.


If you have feedback, please share it with me. This isn’t meant to be a fixed framework everyone has to follow. It’s simply something that works really well for me and my own workflow right now.


And I'd genuinely love to know:

→ Are you building Claude Skills into your workflow?

→ What would you add or change here?

PR
Patricia Reiners✨AI x UX Specialist
Mar 3, 2026