How have you effectively leveraged AI tools to create messaging?

I guess I'll have to pile on the Chat GPT bandwagon! But I will also say that we haven't used Chat GPT to create messages as much as we have used it to fine tune them, and to help with voice and tone. Some PMMs struggle with brevity and I've found Chat GPT helpful to take longer messages and skinny them down into something short, punchy and memorable. But you've got to start with the raw goods first and then let AI do the heavy lifting.

This is a really interesting question and one that I anticipate will change quickly as AI tools evolve in their capabilities and become more mainstream.

I have not used any LLMs specifically to create messaging from scratch, but I have used LLMs to help me explore different tones of a certain message or to help me come up with a couple of options of ways to turn a phrase that I then go test with users. I also have some ideas of how to use genAI creative tools to help me put messaging easily into creative mediums that I then can go test with users. I already test with landing pages, but am excited to show mock videos for example too.

Yes! It's really helped me speed up my work. I have a template that's attached to this AMA that gives examples of how to do exactly this.

The rule of "garbage in, garbage out" totally applies to generative AI tools, models, and LLMs. With RAG, you can enrich your GPTs with relevant data for your customers, products, industry, and competitors to tune a model to become more relevant.

Example source content:

• Persona cards

• Messaging frameworks

• Sample content (blog posts, customer interviews)

• Industry reports

• Analyst reports

• Brand tone guidelines

• Press releases

You can add as much data as you need to make your GPTs as informed as possible. Just make sure it's the right content.