Ask Your Tesla — AI Assistant
Ask Your Tesla
— AI Assistant
Identified a critical gap between Tesla's AI-powered vehicle and its manual app experience. Conducted independent UX research supported by AI tools, translated findings into user flows, journey maps, and a full design system — delivering a modernised Tesla app UI and conversational AI Assistant concept that demonstrates how strategic UX thinking and product design can transform an everyday product into a smarter, more intuitive experience.
Title
Ask Your Tesla — AI Assistant
Industry
UX/UI & Product Design
Date
April 2026
April 2026
Introduction
Tesla builds one of the most AI-forward vehicles on the road — yet the app owners use every day has not kept pace with that intelligence. Being around Tesla owners, including my own family, I watched firsthand how much friction people experience doing tasks that should take seconds. That observation led me to one question: why hasn't AI made it into the app yet? I set out to design what a Tesla AI Assistant could look like, built entirely on real user research and deliberate design decisions.
Defining the Problem
Before opening Figma, I needed to understand the problem clearly. Car owners today are already managing busy lives — and navigating multiple app screens just to get something done adds friction they should not have to deal with. What I found was that the app was not meeting owners where they were. Tasks required too many steps, existing features could not be relied on, and when something went wrong there was nowhere to turn. For a product at the centre of the Tesla ownership experience, that gap was significant.
Before opening Figma, I needed to understand the problem clearly. Car owners today are already managing busy lives — and navigating multiple app screens just to get something done adds friction they should not have to deal with. What I found was that the app was not meeting owners where they were. Tasks required too many steps, existing features could not be relied on, and when something went wrong there was nowhere to turn. For a product at the centre of the Tesla ownership experience, that gap was significant.
Research & Discovery
I conducted all research independently, using Claude and Google Gemini to help structure findings and surface patterns across large volumes of user feedback. I analysed real App Store and Google Play reviews, Reddit threads, Tesla community forums, and Trustpilot — only drawing conclusions from patterns that appeared consistently across multiple sources. I also used AI tools to explore visual identity concepts for the assistant, iterating on logo directions that would give it a recognisable presence within the chat interface. A competitive analysis of BMW, Rivian, Mercedes, and Hyundai confirmed that no competitor currently offers a conversational AI assistant inside their companion app — a genuine gap worth designing for.
Research & Discovery
I conducted all research independently, using Claude and Google Gemini to help structure findings and surface patterns across large volumes of user feedback. I analysed real App Store and Google Play reviews, Reddit threads, Tesla community forums, and Trustpilot — only drawing conclusions from patterns that appeared consistently across multiple sources. I also used AI tools to explore visual identity concepts for the assistant, iterating on logo directions that would give it a recognisable presence within the chat interface. A competitive analysis of BMW, Rivian, Mercedes, and Hyundai confirmed that no competitor currently offers a conversational AI assistant inside their companion app — a genuine gap worth designing for.
Ideation & Design Process
With the research done, I moved into Miro to build side-by-side user flows, mapping the current manual experience against the proposed AI Assistant flow. In the "Without AI" journey, I visualized the high-friction reality where users must manually navigate deep menu layers for basic tasks, resulting in high cognitive load and lost time. In contrast, the "With AI" flow illustrates a flattened hierarchy where a conversational agent acts as a logical intermediary, parsing complex intents into immediate actions. This comparative mapping highlights how replacing a laborious multi-step process with a single intelligent gate eliminates the "Tapping Tax" and transforms the app from a static remote control into a proactive, streamlined experience.
With the research done, I moved into Miro to build side-by-side user flows, mapping the current manual experience against the proposed AI Assistant flow. In the "Without AI" journey, I visualized the high-friction reality where users must manually navigate deep menu layers for basic tasks, resulting in high cognitive load and lost time. In contrast, the "With AI" flow illustrates a flattened hierarchy where a conversational agent acts as a logical intermediary, parsing complex intents into immediate actions. This comparative mapping highlights how replacing a laborious multi-step process with a single intelligent gate eliminates the "Tapping Tax" and transforms the app from a static remote control into a proactive, streamlined experience.
Prototyping & Testing
With the logic established in Miro, I transitioned into Figma to design a modernized replica of the Tesla interface, applying HCI principles to minimize cognitive load and ensure intuitive interaction. I utilized Google Stitch to rapidly iterate on UI directions, ensuring a high-fidelity design system focused on visual hierarchy, consistent spacing, and accessibility. While I leveraged Figma AI for component generation, I ensured my own human-in-the-loop design philosophy guided the strategy—injecting empathy and intuition into the layout to prioritize the user's emotional experience. By applying progressive disclosure, I surfaced proactive quick actions to keep essential tasks accessible without cluttering the UI. To validate the experience, I used Figma Make to build an interactive prototype with micro-animations that prioritize visibility of system status. This ensures that users receive clear, immediate feedback for active listening, task completion, and error recovery, maintaining system transparency and trust throughout every interaction.
With the logic established in Miro, I transitioned into Figma to design a modernized replica of the Tesla interface, applying HCI principles to minimize cognitive load and ensure intuitive interaction. I utilized Google Stitch to rapidly iterate on UI directions, ensuring a high-fidelity design system focused on visual hierarchy, consistent spacing, and accessibility. While I leveraged Figma AI for component generation, I ensured my own human-in-the-loop design philosophy guided the strategy—injecting empathy and intuition into the layout to prioritize the user's emotional experience. By applying progressive disclosure, I surfaced proactive quick actions to keep essential tasks accessible without cluttering the UI. To validate the experience, I used Figma Make to build an interactive prototype with micro-animations that prioritize visibility of system status. This ensures that users receive clear, immediate feedback for active listening, task completion, and error recovery, maintaining system transparency and trust throughout every interaction.
Final Solution & Reflection
The Tesla AI Assistant is a persistent conversational interface accessible from the centre of the navigation bar. Owners type or speak what they need and it is handled instantly — no menus, no unnecessary steps. While I did not build a fully functional product, I demonstrated through research, design, and real user scenarios that the concept is viable and the problem is real. This project taught me how to leverage modern AI advancements and implement them into an existing product in a way that creates real value for everyday users. Every screen I designed traces back to something a real user said — research first, design second is the standard I hold myself to and what I bring to every company I work with. Every car brand — BMW, Rivian, Mercedes, Hyundai — should be adopting this same method. Understanding your customers, identifying where they struggle, and using AI to reduce that friction is not just good design — it is good business.
The Tesla AI Assistant is a persistent conversational interface accessible from the centre of the navigation bar. Owners type or speak what they need and it is handled instantly — no menus, no unnecessary steps. While I did not build a fully functional product, I demonstrated through research, design, and real user scenarios that the concept is viable and the problem is real. This project taught me how to leverage modern AI advancements and implement them into an existing product in a way that creates real value for everyday users. Every screen I designed traces back to something a real user said — research first, design second is the standard I hold myself to and what I bring to every company I work with. Every car brand — BMW, Rivian, Mercedes, Hyundai — should be adopting this same method. Understanding your customers, identifying where they struggle, and using AI to reduce that friction is not just good design — it is good business.
Introduction
Tesla builds one of the most AI-forward vehicles on the road — yet the app owners use every day has not kept pace with that intelligence. Being around Tesla owners, including my own family, I watched firsthand how much friction people experience doing tasks that should take seconds. That observation led me to one question: why hasn't AI made it into the app yet? I set out to design what a Tesla AI Assistant could look like, built entirely on real user research and deliberate design decisions.
See the AI Assistant in Action
Watch the high-fidelity walkthrough to see how proactive quick actions and real-time voice states streamline the Tesla user experience
See the AI Assistant in Action
Watch the high-fidelity walkthrough to see how proactive quick actions and real-time voice states streamline the Tesla user experience
Projects
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Explore more like this one
Selected projects that reflect my approach to design, development, and execution.
See the AI Assistant in Action
Watch the high-fidelity walkthrough to see how proactive quick actions and real-time voice states streamline the Tesla user experience