Personal voice

Ensure outputs match your voice, tone, and preferences in a consistent way

Overview:

For AI tools to be used professionally, users need confidence that the output will be configurable and at least as consistent as what they would have produced by themselves. This could mean having the same tone of voice, for individuals and for brands. It could also mean including the same parameters or inputs into your prompts without having to write them over and over.

Tone of voice

Most generative writing platforms offer the ability to define one or more "voice" that represent a brand or individual. It would not be good if the content produced by Marketing team A sounded completely different than Team B.

Beyond the production efficiency, this has interesting use cases that could be explored in the future. For example, what might it look like to define your voice so your family can "talk" to you while you are away (perhaps, deployed or even in cases of death). How could we use this in research to understand how different personas might respond to a prompt.

Personality is not the same as voice and tone, but the comparison isn't far off.

Key words and templates

Many tools are also allowing users and companies to store terms or information that can be drawn from in the future. For example, Copy.ai allows teams to save information about brands, products, trends, and so on and then introduce that context as a parameter into a prompt.

if a company had a specific way of referring to their product offering, this could be helpful when generating content to cover a launch.

Or, perhaps a user wants to set limitations about what should or shouldn't be contained in a response. ChatGPT allows users to set information that is included in prompts by default. For example, my bot is asked to tell me how it came up with an answer when prompted.

If the use cases behind your product include someone using the result for commercial or professional reasons, voice and tone controls will likely be critical. Think ahead of the use cases to find ways to differentiate. Could you change the voice of the chatbot, borrowing from Character.ai? Or perhaps you want to instruct the bot to provide responses that are more or less technical by default.

These are advanced parameters that will only make the technology more powerful, and more useful in commercial settings.

Benefits:

Anti-patterns:

Ethical considerations
Your voice and tone has been developed by humans working to generate that value for you or your business. The convenience of being able to replace them with a computer that mostly sounds like that raises serious ethical concerns. Not to mention, writing is just as susceptible to the Uncanny Valley effect of sound just non-human enough to feel off. These settings are great for fine tuning final drafts. That doesn't mean we should replace our human writers with robots.

Grammarly allows you to set specific parameters to structure your voice
Jasper uses different input to define your voice for you
Jasper defines your brand voice back to you after it has been generated (aw, shucks)
[Low fidelity screenshot] Copy.ai gives you the option of defining terms or keywords to be referenced as parameters later
Copy.ai prompts you to add a brand voice within the chat portal
Copy.ai voices are determined by open chat. If there are options to tune it, they are not visible
Writer.com offers tools to help enterprises get more consistent outputs
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What examples have you seen?

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