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.

This is closely related to shaping the AI Personality, though the AI's personality impacts how the AI interacts with you while the personal voice impacts how the AI reflects you back in its generations.

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.

Details and variations

  • Users may require the ability to store different styles of their voice for different uses
  • The voice can be applied as a parameter, so the AI relies on the specific details of the voice when crafting its output
  • Voices could be used for generating content for different channels, as in how a brand speaks to a LinkedIn audience vs. an instagram audience
  • Consider how different individual and brand voices could be combined with patterns like a workflow to construct a personal message to any number of recipients in a common tone using the same references (like a release notes doc)

Considerations

Positives

Fuller control for users
There are only so many ways that open ended chat boxes built on the same model can be useful, especially in the enterprise. Personalization features make AI more useful, since they allow you to direct the technology at tasks that previously only a human could have performed.

Small-business use cases
The marketing for these tools tends to be targeted at larger companies. The benefits might be most felt by smaller operators and teams. People who manage small businesses can spend their time on work that directly serves their bottom line.

Non-commercial use cases
How could we use tools like this to serve other purposes? For example, there are dramatic differences in tone and language across cultures. Could this help people learning languages more quickly grasp conversational terminology and flow? Could this help people who have been injured or suffered neurological damage reconnect with themselves?

Potential risks

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.

Use when:
If you are having the AI generate content that should sound consistent, use personal voices for yourself, brands, audiences, etc that you instruct the AI to follow.

Examples

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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