Prompt Engineer-advanced AI prompt crafting

Example

Designing multi-step instructions for an AI system tasked with summarizing technical papers. The prompt must specify the technicality level, length, and focus on key innovations within the paper.

Scenario

A research team wants an AI to generate concise summaries of scientific papers. The Prompt Engineer develops detailed prompts to guide the AI through analyzing key sections, identifying research objectives, and summarizing them based on the target audience, such as scientists or policymakers.

Example

Analyzing a poorly performing AI recommendation system. The Prompt Engineer examines existing prompts and provides optimization strategies, such as using clearer instructions or breaking down complex tasks.

Scenario

A business uses AI to recommend products to customers, but the results are inconsistent. Prompt Engineer identifies flaws in the way prompts are structured, such as ambiguous phrasing or vague commands, and suggests refinements to improve the AI's ability to recommend relevant products.

Example

Building an AI prompt framework that handles ambiguous user requests by adding error handling and clarification mechanisms into the prompt structure.

Scenario

A company develops an AI-based assistant to guide users through legal forms. The prompts need to account for incomplete or ambiguous data inputs. Prompt Engineer develops a layered prompt architecture where the AI asks for clarification when encountering unclear data and provides a range of responses based on varying degrees of user input completeness.