Elizabeth Laraki reveals how to design AI products users actually love. She breaks down the 3-phase design framework from Google, shares the shocking AI image expander story, and shows why everyone's adding chat interfaces wrong.
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Full Writeup: https://www.news.aakashg.com/p/elizab...
Transcript: https://www.aakashg.com/how-to-design...
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Timestamps:
00:00:00 - Intro
00:01:52 - Elizabeth's background at Google
00:04:19 - Google's AI search integration
00:06:19 - Designing image & video for AI
00:09:44 - AI image expander disaster
00:16:05 - Ads
00:17:50 - AI safeguards & human-in-the-loop
00:18:28 - 3-step AI design process
00:31:29 - Ads
00:33:25 - Designing AI voice interfaces
00:38:25 - Designing beyond chat
00:41:52 - AI design tools for designers
00:44:49 - Live design: LinkedIn for AI
00:57:04 - Google Maps redesign story
01:04:14 - Google Maps India landmarks
01:10:09 - Where to find Elizabeth
01:12:00 - Outro
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Key takeaways:
1. The Core Design Process Hasn't Changed: Define the product (who, what tasks, what needs), Design it (features, architecture, flows), Build it (UIs, brand). Don't skip to "let's add a chatbot" because you have API access.
2. AI Adds Non-Deterministic Risk: Traditional software is deterministic - click A, get B every time. AI is non-deterministic with unpredictable outputs. Elizabeth's image expander added a bra strap that wasn't in the original photo. Completely unintentional, completely unacceptable.
3. Work With Research on Safeguards: Audit training data for bias. Build evals that flag sensitive content (human bodies, faces, private information). Show A/B options for ambiguous cases. Make AI's work visible in the UI so users can scrutinize changes.
4. Start With Jobs To Be Done: Don't ask "We have GPT-4, what should we build?" Ask "What painful workflow takes users hours?" Descript mapped video editing lifecycle and baked AI into each job: remove filler words, edit from transcript, create clips, write titles.
5. Map User Context, Not Just Needs: ChatGPT voice in car with three kids? Perfect - nobody's looking at screen. Meta Ray-Bans reading Spanish menu item by item? Terrible - should ask "What are you in the mood for?" Same AI, different context requires different design.
6. Emerge From Ambiguity First: For "LinkedIn for AI," Elizabeth mapped 4 possible directions, picked Matchmaking, identified AI's unlock (personality patterns vs keyword matching), mapped separate UIs for job seekers and employers. Only then touch pixels.
7. Chat Fails for Complex Tasks: Elizabeth tried creating Madrid itinerary in ChatGPT. Every change regenerated everything with new hallucinations. Chat works for Q&A but fails for document creation, visual tasks, multi-step workflows that need persistent editable outputs.
8. Make Chat Supporting, Not Primary: Photoshop embeds AI in existing canvas tools. Google Search shows AI summaries inline in normal results. Cove gives canvas with multiple AI conversations in parallel. Chat is a tool, not THE interface.
9. Stop Adding AI Sprinkles: Elizabeth: "I can't help but think of this massive container of AI sprinkles everybody's shoving on top." Twitter/X + Grok, Amazon + Rufus, Apple Photos all feel forced. Ask three questions: Is this solving a real problem? Does chat make sense? Can you show your work?
10. Google Maps India Innovation: Researched how Indians actually navigate (by landmarks, not street names). Identified which landmarks work (visible from street level like temples, petrol stations). Redesigned entire directions system around that insight. That's design, whether AI or not.
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Where to find Elizabeth:
Twitter: / elizlaraki
LinkedIn: / elizlaraki
Substack: https://elizlaraki.substack.com
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Where to find Aakash:
Twitter: twitter.com/aakashg0
LinkedIn: linkedin.com/in/aagupta/
Newsletter: news.aakashg.com
#aidesign #productdesign #aiproducts
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