Supercharge your AI with Prompt Frameworks - Part 1

So you’ve embraced Artificial Intelligence and have a favorite platform (or 3!) you’re now using on a daily or weekly basis. You’ve had some interesting outputs from the AI engine - some of them valuable, some just outright weird! (AI engines can and do hallucinate! - here are a few we found amusing 🙂)

Fast-forward a few weeks and you are starting to find that you are getting answers coming back that are similar in style and context, and the value proposition you originally enjoyed feels somewhat diluted, and you are finding yourself needing to refer back to Search Engines more and more.

Don’t worry, you’re not alone! Research has shown that usage on popular AI platforms has plateaued, whilst search activity using more traditional methods, is on the rise.

We thought we’d lend a hand, and help you supercharge your prompts to get the inputs/outputs you crave to help maximize your productivity. Enter Prompt Frameworks - here are a few that we’ve been using over the past few weeks that have helped us to maximize our use of AI in a business context…

TRACE (Task, Request, Action, Context, Example)

Components:

• Task: Identify the main objective.
• Request: Specify what you need from the AI.
• Action: Detail the specific actions required.
• Context: Provide necessary background information.
• Example: Include an example to illustrate your request.

Use Case:

Effective for structured marketing tasks or when needing detailed instructions. For instance, “Automate lead follow-ups. Provide a step-by-step guide on setting up sequences with examples of email templates.”

PAR (Problem, Action, Result)

Components:

• Problem: Clearly state the issue at hand.
• Action: Specify what action should be taken to address it.
• Result: Describe the expected outcome.

Use Case:

Ideal for troubleshooting scenarios. For example, “Our website's traffic has dropped significantly. Analyze potential causes and suggest improvements to regain traffic.”

APE (Action, Purpose, Expectation)

Components:

• Action: Describe what you want to do.
• Purpose: Explain why this action is necessary.
• Expectation: State what you hope to achieve.

Use Case:

Useful for optimizing processes where clarity on purpose is essential. For instance, “Optimize our CRM system to enhance data accuracy and user efficiency.”

Chain of Density

Components:

• Focuses on summarizing content or improving existing text through recursive questioning.

Use Case:

Useful for content refinement or generating concise summaries. For example, “Summarize this article while retaining key points and insights.”

NOTE: We've found CoD (Chain of Density, not Call of Duty 😄) to be particularly useful for ongoing research!

In Part 2 we'll examine 3 Prompt Frameworks that are job role-specific, enhancing your productivity within the day-to-day grind!

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