Forget Chatbots: Unique Ways to AI-ify Your Product

In the ever-evolving world of AI, chatbots might have been the starting point, but they’re far from the finish line. Today, we’re diving into unique ways companies and startups are leveraging AI to create unforgettable product experiences. Whether you’re building a SaaS platform or a consumer app, these AI-powered patterns can transform your product’s UX.

In my last blog, I discussed the six AI-UX macro trends for 2025. Today, let’s zoom in on specific patterns—the building blocks of these trends. AIverse’s "Trending AI-UX Patterns" ebook outlines 24 such patterns, but I’ll focus on my top seven. (Pro tip: If your company allows, expense the ebook and thank me later!)

1. Linear Back & Forth

This pattern is where it all began—think ChatGPT’s conversational interface. By simplifying access to complex LLM capabilities, chat-based UIs became the gateway for countless users. But don’t stop at chat: imagine embedding generative capabilities directly into your UI or enabling seamless data exploration through intuitive commands. Products like Meter have extended this concept into command-line inspired workflows for modern UIs.

2. Dynamic Recommendations

Forget static suggestion lists. Dynamic recommendation systems harness real-time user behavior to present highly relevant options. Spotify’s Discover Weekly and Netflix’s “Because You Watched…” features are great examples. How can your product surprise users with hyper-relevant suggestions?

3. Generative Personalization

Users crave personalization, but generic templates won’t cut it. Enter generative AI. Canva, for instance, uses AI to recommend designs tailored to a user’s content style. Imagine offering bespoke experiences that evolve with user inputs—from tailored emails to adaptive dashboards.

4. Proactive Problem Solving

Why wait for users to ask for help? AI can anticipate issues and provide solutions before they arise. Grammarly’s tone suggestions and GitHub Copilot’s coding prompts exemplify this. Think about how your product could use predictive AI to delight users by solving problems they didn’t know they had.

5. Edge AI for Instant Feedback

Latency is a UX killer. Edge AI models bring computation closer to the user, delivering real-time insights without reliance on the cloud. Fitness apps like Tempo use edge AI to provide instant form corrections during workouts. If speed matters in your product, consider edge AI.

6. Interactive Exploratory Interfaces

AI doesn’t just automate—it enables discovery. Tools like Tableau and Looker are empowering users to explore data intuitively with natural language queries. Could your product benefit from a similar exploratory layer?

7. Invisible AI

Sometimes, the best AI is the one users don’t even notice. From fraud detection in fintech apps to invisible filters in photo editing tools, seamless AI integrations create magical experiences without extra effort from the user. How can you make AI work quietly in the background?

These patterns are just the tip of the iceberg. With 17 more in AIverse’s ebook, there’s a wealth of inspiration waiting to be tapped. The key is to pick the right pattern (or combination) that aligns with your users’ needs and your product’s goals.

Let’s leave the chatbot-only mindset behind and embrace the vast potential AI has to offer. Which pattern resonates most with your product? Or is there another you’ve seen in the wild that’s worth exploring? Let’s discuss.

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