Free consultation call
AI in your product should feel invisible.
That’s the bar.
If users notice it, it’s usually because something broke: it’s too slow, gave a wrong answer, or made a strange decision. The challenge with AI isn’t just building the model—it’s integrating it into your product in a way that feels natural, predictable, and valuable.
At TLVTech, we’ve helped startups build and launch AI-powered products across industries—from fintech to health to SaaS. And we’ve seen how quickly AI can go from “cool demo” to “what the hell just happened?” if the UX isn’t handled right.
Here’s how to integrate AI into your product without making it weird.
If your product says “Ask anything” and it can’t answer most questions—that’s on you. Set clear expectations. Users aren’t angry when AI makes mistakes—they’re angry when it feels like it should have worked and didn’t.
Better:
Match the UI to the real capability—not the hype.
AI works best when it enhances user control—not replaces it.
Instead of:
“The system automatically filled out your report.”
Try:
“Here’s a draft based on last month—want to review or tweak it?”
Give users the final say. That builds trust. It also reduces the risk of the AI doing something unexpected and triggering user frustration.
Always have a plan B.
What happens when the model can’t answer a question? Or makes a bad prediction?
Good UX means:
The worst case is a dead end or a vague “error.”
AI isn’t always right. The interface shouldn’t act like it is.
Instead of:
“This is the best answer.”
Try:
“Here’s what I found, based on your input.”
Even better: let users give feedback. That helps them feel in control and improves your system over time.
Don’t make users guess why your AI feature exists.
Highlight what it saves:
Example: A smart autocomplete feature that says “Save 3–5 minutes on data entry” is far more effective than one that just appears with no context.
If your AI feels like a black box or makes users feel dumb, you’ve already lost.
The best AI features are:
And most of all—they make the product feel smarter, not just “AI-powered.”
At TLVTech, we don’t just plug in APIs—we help founders design product experiences that feel sharp, reliable, and intuitive. If you're building something with AI and want it to land right with users, let’s talk.
- The concept of artificial intelligence (AI) goes back to ancient myths and the idea of creating automatons. - AI implies the capacity of a machine to mimic human behavior. - The AI era began in the mid-twentieth century with thinkers such as Alan Turing. - Key milestones include the introduction of the Turing Test (1950), and the coining of the term 'artificial intelligence' at the Dartmouth Workshop (1956). - Significant developments in the 1950s and 1960s include machine learning, natural language processing, and creation of the first AI robot. Key contributors were John McCarthy and Marvin Minsky. - The 1980s and 1990s saw AI go mainstream with developments in machine learning and the rise of the internet. AI began influencing various fields. - The early 2000s brought home-centric AI like Roomba and virtual assistants like Siri. By the 2010s, AI revolutionized sectors like healthcare, finance, and web services. - Notable figures in the 21st-century AI advancement include Elon Musk, Stuart Russell, and Peter Norvig. - Today, AI is a part of daily life from mobile phones to home appliances. Future predictions include AI teaching itself, creating more AI, predicting diseases, and reducing energy use.
- AR/VR app development is a rapidly growing field with a potential worth of $209.2b by 2022. - Leading VR firms in the US are Oculus, HTC, and Unity; unity also offers tools for VR development. - When hiring AR/VR app developers, look for understanding of 3D design, computer graphics, software testing, platforms, and efficient coding. - To partner with AR firms, check their previous works and discuss expectations, timelines, and communication practices. - AR/VR app development costs can range from $5,000 for simple apps to more than $300,000 for complex ones. - Large players in VR space include Oculus, Google, Samsung, Sony, and HTC. - Popular tools for AR app development are Unity, ARCore, ARKit, and Vuforia. - Optimizing AR apps involves managing 3D assets effectively and optimizing content delivery; user-friendly VR interfaces should be intuitive and immersive. - The future of AR and VR development looks promising, with a surge in wearable AR tech and expansion of 5G networks.
We're thrilled to partner with DESIGN RUSH, boosting visibility and delivering enhanced value as a top IT service provider.
