Enhance AI Trust: Designing for Mistakes, Not Just Accuracy

Enhance AI Trust: Designing for Mistakes, Not Just AccuracyEnhance AI Trust: Designing for Mistakes, Not Just Accuracy

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Bozena Bulat

pro

• Jun 10

"The AI feature is ready. Can you make it look nice?"

That's how the brief started.

By the end of the call, we'd quietly redesigned the whole feature — without touching a single screen.

Here's what actually happened on that call — and the lesson for anyone shipping AI features.

I asked one question: "What does the user see when the AI gets it wrong?"

Silence.

The team had spent months on the model. Accuracy was impressive. The demo was smooth.

But nobody had designed the moment the answer is wrong — and the user knows it.

So instead of "making it look nice", we worked through:

→ The wrong-answer moment. The user spots a bad recommendation. One tap to correct it — or lose them. We designed the correction first, the happy path second.

→ The reasoning line. One sentence under every result: why the AI suggested this. Not the math — the logic a human can judge.

→ The honest empty state. Before the AI has enough data, it says so — instead of guessing confidently and burning trust on day one.

Three weeks later: same model, same accuracy.

But users stopped abandoning the feature after the first mistake.

The model didn't get smarter. The interface got more honest.

I've seen this pattern on more than one product now: "make it look nice" is never the real brief. The real brief is: make people trust it.

What does your AI feature show when it's wrong?:

creativeaiflow productdesign uxuidesign

Dipal Patel

• Jun 9

AI can give brilliant answers in seconds. ⏱️ ⚠️ It can also give completely wrong answers with the same level of confidence. That's the challenge with modern AI. The risk isn't that AI makes mistakes. Humans do too. The risk is accepting an answer simply because it sounds convincing. Whether you're using AI for research, content creation, coding, automation, or business decisions, one habit matters more than any prompt: ✅ Verify before you trust. 🚀 Use AI to accelerate your work. Don't outsource your judgment to it. The best professionals won't be the ones who avoid AI. They'll be the ones who know when to trust it, when to question it, and when to validate its output. 🤝 AI is a powerful assistant. 🧠 Critical thinking is still the superpower. #AI #ArtificialIntelligence #Productivity #Innovation #FutureOfWork #Automation #Tech

hayriye akgüller

pro

• Jun 8

Which one would you choose? Mindful Landing Page Footer Design ✨

creativeaiflow Claude Figma

41 voted

49%

43 voted

51%

84 votes

Closed

Esther Adewumi

pro

• Jun 9

The 2 is nice. I will go for 1

Chhavi Malik

pro

• Jun 8

I've rewritten copy on projects that were never supposed to include copy. The founder comes in with a brief for a website redesign. Shares what they have. Usually AI-generated, sometimes written by someone on the team who was trying their best. Always technically accurate. Almost never convincing. Most founders shopping for a website are actually shopping for sales. They just don't realise the copy is the missing piece yet. In the last 10 projects I've worked on, 8 came in as design-only briefs. Every single one ended with copy in scope not because we did a good job at upselling it but because the moment a founder sees what their page feels like when the copy actually talks to a real person, the AI-generated version stops being acceptable:) The design alone can't do it all when the words are doing nothing. Fix the words. The design does the rest. And the ROI speaks for itself.