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When the Brand Speaks Back: Designing Personality in the Age of AI Agents

27/06/2025
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As brands embrace AI-powered agents, the challenge isn’t just making them talk — it’s making them feel alive, helpful, and unmistakably on-brand; Left Field Labs' Rich Foster unpacks what it takes to design conversations that move beyond functionality and become true expressions of brand identity

As AI-powered brand agents become embedded in digital ecosystems, creative teams face a new mandate: design personalities that don’t just look good on a landing page, but also speak, respond, and evolve.

We’ve long been responsible for how brands sound and feel. Now we’re being asked to craft voices that can carry entire conversations — complete with warmth, humour, helpfulness, or edge. With the rise of large language models (LLMs), this is no longer hypothetical. But the opportunity demands precision: in tone, flow, visual alignment, and interaction design.

Imperfection Isn’t a Deal-Breaker

LLMs aren’t flawless. They hallucinate. They drift off-tone. They sometimes respond like an unusually polite alien. But these imperfections don’t disqualify them. People aren’t perfect either.

Too often, fear of error keeps teams from experimenting. But success doesn’t require perfection. It requires guardrails, context, and clear brand intent. With those in place, AI becomes more than functional. It becomes expressive. It becomes a brand.

Rethinking Navigation as Dialogue

One of the most powerful shifts LLMs enable is a break from rigid digital structures. Traditionally, users have had to learn how each brand organises their sites, services, and content — navigating mega menus, filters, and nested navigation designed around internal logic.

Most digital experiences still serve a narrow band of common use cases, leaving edge cases underserved. LLMs change that.

Now, instead of forcing users to adapt to a structure, the structure adapts to them. Content, support, and recommendations can surface dynamically — based on what the individual cares about, not how the brand categorises it.

This is especially potent in e-commerce. Instead of clicking through five layers of filters, a customer might say: “I need something for sensitive skin that works under makeup.”

From that input, a conversational experience begins — with tailored suggestions, clarifying questions, and responsive guidance. Not a funnel. A flow.

Navigation becomes dialogue. Systems become helpful. And brands become conversational partners, not platforms.

Designing the Voice — and the Look — Behind the Voice

Crafting a conversational brand identity isn’t just about what’s said — it’s also about how it feels visually. This is critical for luxury brands or those with distinct visual DNA.

Nike and Prada don’t need to say a word to be recognised. That level of visual identity must carry into AI interactions or risk shattering continuity.

The solution: dynamic art direction. Modular, flexible design systems encompassing components, motion, typography ensure LLM-powered conversations stay visually on-brand. These aren’t static templates; they’re responsive environments that reflect tone, mood, and intent.

The result? A helpful chatbot becomes a living brand moment — assembled in real time.

Conversation Needs Boundaries

A key nuance of designing for AI: not every conversation should be infinite.

LLMs enable fluid dialogue, but open-endedness can quickly become circular. No one wants to be stuck in an endless “what else can I help you with?” loop.

Great AI experiences are helpful, not clingy. Efficient, not abrupt.

Design must strike a balance: when to move forward, when to branch, and when to close with clarity. Tone matters. A youth brand might stay casual and exploratory; a healthcare platform must prioritise calm, direct resolution.

Tone and timing must align, always in service of the user’s goal.

Crafting a Conversational Identity

What separates a brand-led AI experience from a generic one? Four key elements:

  • Character design: Is your agent a hype-driven sneakerhead? A calm skincare consultant? A clever, cheeky insider? The character defines language, pace, and attitude.
  • Tone range: Flexible voice. Playful in discovery, reassuring in resolution. It’s not one tone — it’s the right tone at the right time.
  • Predictive flow: Anticipates user needs. Suggests next steps. Helps the user feel seen — not just responded to.
  • Contextual memory: Remembers what matters. References past inputs to build coherence and continuity.

These are design decisions — and they must be made collaboratively across brand, UX, engineering, and content strategy.

Scaling Personality — Not Replacing People

The goal of scaling personality is to bring warmth, precision, and humanity to places that used to rely on static content or robotic flows.

Done right, AI becomes a new front line for brand expression: in discovery, support, loyalty, and storytelling. It extends tone into places design alone used to carry the load.

But to get there, creative teams must rethink their tools, processes, and roles.

Practical Tips for Designing Brand-Led AI Agents

One principle above all: never start with technology. Start with purpose. Use AI only when it clearly improves on existing solutions. The best experiences begin with a real problem — not a shiny tool.

1. Start with character, not just copy: Define personality upfront. Is your brand playful? Wise? Calm? This shapes everything, from humour to sentence rhythm, and ensures consistency.

2. Design tone shifts for real use cases: Don’t default to a single voice. Map tone to specific moments like discovery, support, and checkout. Build tone range, not tone rules.

3. Build guardrails, not walls: Use prompts, logic, and fallback responses to stay on brand without boxing the model in. Let the LLM surprise and delight in a safe way.

4. Visual consistency matters: Match the words with a responsive, modular design system. A strong visual layer reinforces trust and emotion, even in transactional moments.

5. Know when to end the conversation: Structure for resolution. Avoid endless prompts. Design for clarity, including off ramps and summaries.

6. Prototype with purpose: Start small. One product. One use case. One tone. You’ll learn more from building than from planning.

The opportunity isn’t just smarter products. It’s more relatable digital experiences — on the user’s terms, in the brand’s voice.

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