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In today’s newsletter, I’ll share three essential concepts to help you use GPT-4 and ChatGPT effectively in order to boost productivity and book more meetings. If you keep these concepts in mind, you’ll be able to use ChatGPT and GPT-4 to be more productive and to book more meetings.
Concept 1: Training the AI
Artificial intelligence, particularly ChatGPT and GPT-4, can be used as personal assistants. However, without sufficient training, the output and results obtained won’t be good enough.
To train AI effectively, you need to provide examples of high-quality outputs. For example, you can show ChatGPT and GPT-4 an email subject line or a well-crafted cold email you received. The AI can then generate similar subject lines or emails for different contexts.
Concept 2: Writing prompts
Prompt engineering is crucial when using ChatGPT and GPT-4. To write an effective prompt, you can ask the AI to act like a specific person or a job title. For example, you can take the name of a prospect you’d like to contact and ask the AI to come up with their top 3 challenges.
Example:
You can also provide data to the AI and ask it to skim it to find personalization elements to mention to your prospects. For example, you can download the LinkedIn profile of your prospect in PDF, copy/paste the content, and feed it to GPT-4 (or ChatGPT) to get a suggestion of what to mention.
I’m releasing a full guide on using ChatGPT for personalization next week, so make sure to sign up for Tactical Selling if you’re not already a member.
You can also show some examples of what a good email or a good subject line looks like to the AI. Copy/paste the example, explain it to the AI, and ask it to come up with emails or subject lines that follow the structure you just showed.
IIf you need inspiration on what a good LinkedIn message looks like, you can grab my sequence below:
When you’re chatting with ChatGPT or GPT-4, expect to get great ideas, average ideas, and straight-up terrible ideas. This is why you need to keep chatting with the AI and ask it to correct whatever mistake you found.
If the output is bad, it’s often because the prompt isn’t good. Rewrite the prompt with more details until the conversation goes in the right direction. You can then keep chatting with the AI, provide it more information and data, until you get an output that works for you.
For example, I turned a marketing resource into a prospecting asset for Remote.com with ChatGPT. This was a 5-step process and it required an in-depth conversation with the AI.
And these are three important concepts to always keep in mind when using AI to prospect. Good outputs will always come from understanding how to train the AI, what to put in the chat box, and how to keep chatting with your AI assistant.
Cheers,
Thibaut Souyris
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