Bonus: Context Co-Creation Prompting

Context Co-Creation Prompting is a technique designed to help users collaboratively build context with the LLM. By allowing the model to guide the discovery of essential details, users can achieve a more precise output tailored to complex or nuanced tasks. This method suits projects requiring layered understanding, such as course materials, strategy documents, and creative content.

Originally developed by Kris Coelus, it is the Swiss Army Knife of prompting, especially in the discovery phase of Virtual Agent design.

How it works

Outline the Task and Context: Start by briefly describing the task you want to complete and providing any initial context.

• Example: "I want to create a slide deck for a baking course aimed at 35 to 50-year-olds interested in improving their dessert-making skills."

Prompt the LLM to Gather Context: Ask the model, “What information do you need from me to help me with this task?”

• This allows the LLM to identify missing details and suggest ways to deepen the context for a more relevant output.

Iterate and Clarify: Review the LLM’s response, filling in additional information as prompted, to collaboratively refine the task context.

Why It Works:

This technique leverages the model’s ability to highlight contextual needs, enabling a clearer and more effective workflow, especially in complex, multi-faceted tasks.

Best For:

Content creation, instructional materials, strategy planning, and complex projects requiring layered understanding.