AI Interface & Interaction Design
AI Interface & Interaction Design
AI Interface & Interaction Design
What is AI interface and interaction design?
AI interface and interaction design is the practice of shaping how users engage with an AI feature or product, from the visual and interactive elements they touch to the prompts that guide the AI's responses and the cues that show what it is doing. It covers how inputs, outputs, controls, feedback and explanations come together to create an experience that feels approachable, predictable and genuinely useful.
Done well, it makes the underlying intelligence easier to understand, easier to trust and easier to use.
What is AI interface and interaction design?
AI interface and interaction design is the practice of shaping how users engage with an AI feature or product, from the visual and interactive elements they touch to the prompts that guide the AI's responses and the cues that show what it is doing. It covers how inputs, outputs, controls, feedback and explanations come together to create an experience that feels approachable, predictable and genuinely useful.
Done well, it makes the underlying intelligence easier to understand, easier to trust and easier to use.
AI interface and interaction design process
How do we approach AI interface and interaction design?
We start by understanding the AI's role within the user journey and the moments where the interface needs to guide, reassure or inform. Informed by use case definition, user needs research and the principles of UI design, we design input patterns, response formats, status indicators and controls that suit the way users actually work with AI.
A core part of this is prompt design, both the prompts users see and the system prompts that shape the AI's behaviour behind the scenes. Drawing on AI user research and the principles of writing for the web, we craft prompts that are clear, specific and grounded in real user language. System prompts set the AI's tone, scope and guardrails, while user facing prompts guide people toward useful inputs. Each is tested, refined and validated against the responses it produces.
We also design for transparency throughout the experience, using language, visual cues and interaction patterns to show what the AI is doing, why it is doing it and where its limits sit. This includes clear explanations, status indicators, source references and uncertainty cues, informed by risk and ethics. The goal is an experience where users can see what the AI is doing, judge how much to rely on it and recover gracefully when something goes wrong.
Why does it matter?
The interface is where users form their judgement about an AI experience. If it feels confusing, unpredictable or opaque, users hesitate, misuse it or abandon it altogether. When an AI feels like a black box, people either over trust it or avoid it entirely, and neither outcome serves the user or the organisation.
The quality of the experience is also shaped heavily by the prompts behind it. Vague or poorly structured prompts produce inconsistent, off topic or unsafe responses, while well crafted prompts unlock accuracy, relevance and reliability. Combined with thoughtful transparency, they give users a clear path into the AI, reduce confusion about what to ask and set accurate expectations about what to expect in return.
Together, interface, prompt and transparency design reduce friction, support better decisions and create the conditions for trust and comprehension to develop over time.
When is the right time to design an AI experience?
This work is most valuable when designing new AI features, refining existing ones or integrating AI into established products. It is also worth focusing on when users are struggling to understand or control the AI, when feedback suggests the experience feels clunky or opaque, or when new interaction patterns such as conversational input or generative outputs are being introduced.
Transparency in particular is worth prioritising when the AI is making consequential decisions, generating content users will act on, or operating in contexts where accuracy and accountability matter.
AI interface and interaction design process
How do we approach AI interface and interaction design?
We start by understanding the AI's role within the user journey and the moments where the interface needs to guide, reassure or inform. Informed by use case definition, user needs research and the principles of UI design, we design input patterns, response formats, status indicators and controls that suit the way users actually work with AI.
A core part of this is prompt design, both the prompts users see and the system prompts that shape the AI's behaviour behind the scenes. Drawing on AI user research and the principles of writing for the web, we craft prompts that are clear, specific and grounded in real user language. System prompts set the AI's tone, scope and guardrails, while user facing prompts guide people toward useful inputs. Each is tested, refined and validated against the responses it produces.
We also design for transparency throughout the experience, using language, visual cues and interaction patterns to show what the AI is doing, why it is doing it and where its limits sit. This includes clear explanations, status indicators, source references and uncertainty cues, informed by risk and ethics. The goal is an experience where users can see what the AI is doing, judge how much to rely on it and recover gracefully when something goes wrong.
Why does it matter?
A poorly designed AI agent can be more frustrating and inefficient than helpful. By doing some initial discovery, we can make sure that the agent is designed to real needs. This makes adoption smoother, improves efficiency, and ensures that the agents are genuinely delivering value for the people using it.
When is the right time to design an AI experience?
This work is most valuable when designing new AI features, refining existing ones or integrating AI into established products. It is also worth focusing on when users are struggling to understand or control the AI, when feedback suggests the experience feels clunky or opaque, or when new interaction patterns such as conversational input or generative outputs are being introduced.
Transparency in particular is worth prioritising when the AI is making consequential decisions, generating content users will act on, or operating in contexts where accuracy and accountability matter.
AI interface and interaction design process
How do we approach AI interface and interaction design?
We start by understanding the AI's role within the user journey and the moments where the interface needs to guide, reassure or inform. Informed by use case definition, user needs research and the principles of UI design, we design input patterns, response formats, status indicators and controls that suit the way users actually work with AI.
A core part of this is prompt design, both the prompts users see and the system prompts that shape the AI's behaviour behind the scenes. Drawing on AI user research and the principles of writing for the web, we craft prompts that are clear, specific and grounded in real user language. System prompts set the AI's tone, scope and guardrails, while user facing prompts guide people toward useful inputs. Each is tested, refined and validated against the responses it produces.
We also design for transparency throughout the experience, using language, visual cues and interaction patterns to show what the AI is doing, why it is doing it and where its limits sit. This includes clear explanations, status indicators, source references and uncertainty cues, informed by risk and ethics. The goal is an experience where users can see what the AI is doing, judge how much to rely on it and recover gracefully when something goes wrong.
Why does it matter?
The interface is where users form their judgement about an AI experience. If it feels confusing, unpredictable or opaque, users hesitate, misuse it or abandon it altogether. When an AI feels like a black box, people either over trust it or avoid it entirely, and neither outcome serves the user or the organisation.
The quality of the experience is also shaped heavily by the prompts behind it. Vague or poorly structured prompts produce inconsistent, off topic or unsafe responses, while well crafted prompts unlock accuracy, relevance and reliability. Combined with thoughtful transparency, they give users a clear path into the AI, reduce confusion about what to ask and set accurate expectations about what to expect in return.
Together, interface, prompt and transparency design reduce friction, support better decisions and create the conditions for trust and comprehension to develop over time.
When is the right time to design an AI experience?
This work is most valuable when designing new AI features, refining existing ones or integrating AI into established products. It is also worth focusing on when users are struggling to understand or control the AI, when feedback suggests the experience feels clunky or opaque, or when new interaction patterns such as conversational input or generative outputs are being introduced.
Transparency in particular is worth prioritising when the AI is making consequential decisions, generating content users will act on, or operating in contexts where accuracy and accountability matter.
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Want to know more?
We'd love to hear from you. Get in touch to discuss your project or learn more about how we can help.
Want to know more?
We'd love to hear from you. Get in touch to discuss your project or learn more about how we can help.