
Expedience Software Introduces Expert Proposal Prompt Engineering With The CRAFT Method
Prompt engineering is the process of designing and refining prompts to optimize interactions with AI. By crafting well-structured questions, statements, or instructions, users can elicit highly accurate and useful information from AI systems. This methodology plays a crucial role in improving AI performance, enhancing user experience, facilitating complex tasks, and minimizing ambiguity.
To streamline prompt engineering, Expedience Software introduces the CRAFT method , a structured framework designed to maximize the effectiveness of AI-generated content. The method focuses on five key elements: context, role, action, formatting, and target audience. By clearly defining these components, proposal writers can ensure AI responses align with specific requirements, making proposals more persuasive and impactful.
Using the CRAFT framework for a proposal for a renewable energy project suggests a prompt list similar to this:
Context:“For a government grant proposal focused on renewable energy solutions...”
Role:“As an expert in renewable energy policy...”
Action:“Outline the key benefits of solar energy for urban areas.”
Format:“Provide a bullet-point list.”
Target Audience:“This information is for a panel of government officials evaluating grant proposals.”
Expedience Software integrates prompt galleries within its Word-based applications, offering a curated collection of prompts categorized by the CRAFT method and complex tasks. This functionality is particularly beneficial for prompt stacking, allowing users to sequence multiple prompts systematically. By instructing AI to acknowledge inputs step by step, proposal writers can refine their content more effectively.
With the introduction of expert prompt engineering, Expedience Software continues to revolutionize proposal automation, empowering businesses with smarter and more efficient tools for creating high-quality proposals.
Sharon Coddington
Expedience Software
...
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