See AI use cases in action

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rochona
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Joined: Thu May 22, 2025 5:25 am

See AI use cases in action

Post by rochona »

Start with these conversational AI design guidelines:
These guidelines should serve as a primer for designers as they grow accustomed to working with conversational interactions. Knowing what paths a user might take and considering possible content variations can help inform designs.

1. Use existing patterns
For example, when creating prompts to generate emails, we might use existing conversational patterns for chatbot greetings. When we think about the tone and voice of our outputs, we can also use persona guidelines. Or, we might ask whether the content the LLM generates should be more professional or personable. How might we represent either of those traits linguistically? We also need to know what the experience looks like for users across devices or in different real-world environments.

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Regardless of your role, you might have to create conversational copy or interactive flows for your product or for prompt testing. Even if you don’t have training in linguistics and you’re not responsible for writing all the copy, you’ll still interact with the tool that produces that content. Many of the same rules of conversational interaction still apply.

As a senior conversation designer at Salesforce, I’ve worked on a variety of features and products involving conversational AI and generative AI. Let’s look at a few afghanistan phone number list key areas of the guidelines and examples of how they’ve influenced my team’s approach to conversational AI.

While the following examples relate to bot conversation and static prompts, the examples and the guidelines do still apply in turn-taking experiences for copilots. The guidelines were intended for designing turn-taking interactions, so they absolutely apply.

2. Make bot personality traits universal
The Bot Personality section of the SLDS guidelines advises designers to consider defining personality basics first. It’s not about making bots have human-like personalities, though. Instead, focus on the bot’s language and choose phrasing that acknowledges the interaction. Other bot developers and designers offer similar advice and suggest thinking about what functions a bot can fulfill and how it can help a user reach their goal.
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