Truthfully, there is no 100% guarantee of consistency. Because of the generative nature of LLMs and how they process each prompt separately, even the same prompt may result in a new, unique generation. But, writing your own sample outputs will help you revise a prompt to more closely match expectations.
guidelines might limit you from using certain words, such as “sorry,” or prefer you to write out numbers such as “nine” instead of using the numeral “9.” You can work on doing the same with LLMs, prompting it to avoid certain words or use certain grammatical or linguistic elements.Focus on accessibility and inclusion
We also want to consider accessibility. A user may be interacting with AI through any number of devices, channels or circumstances.
For those who use a screen reader, you might skip or limit afghanistan phone number list the number of emojis in the conversational copy. Emojis are tough to parse for a screen reader. They can also be tough to parse for the individual. The emoji itself might not match the text completely, or there may be norms related to use of certain emojis that have evolved along with popular culture and slang.
Accessibility and inclusion also relate to localization and general word choice — do our words mean what we want them to? We have to consider that different languages have different cultural norms and practices that might influence sentence structures or tone. Words can have multiple meanings that could lead to unintended interpretations. When the reply says, “I was unable to add all items to your order” does that mean no items or some items?
To combat this, it’s best to keep language as simple as possible. Avoid jargon or technical language, making sure every user can understand the message without having to leave the conversation. Instead of saying “I was unable to add all items to your order” consider displaying all of the included products along with an error message.
Especially in the world of generative AI, designers need to remember the principles behind conversation design and design systems. Every bit of copy adds dimension to a conversational AI exchange with a customer or user, so the design matters.