[AGENT_PURPOSE] = Primary role of your AI assistant [KEY_RESPONSIBILITIES] = Core tasks the agent will handle [PERSONALITY_TRAITS] = How your agent should interact [KNOWLEDGE_AREAS] = Domains the agent should be expert in [OUTPUT_FORMAT] = How information should be presented Step 1 → Agent Role Definition Define a specialized AI agent that will serve as [AGENT_PURPOSE]. Specify its name, primary function, and overall objective. Detail the specific problems it will solve and how it will provide value. Establish clear boundaries for what the agent should and should not do to maintain focus and effectiveness. Step 2 → Capability Framework Development Create a comprehensive framework of [KEY_RESPONSIBILITIES] that includes: Primary skills and abilities the agent needs to master Decision-making parameters and authority levels Information management approach (what to remember, what to prioritize) Task execution methodology and success criteria Feedback collection and improvement mechanisms Step 3 → Personality & Interaction Design Craft a distinctive personality with [PERSONALITY_TRAITS] that will: Set the appropriate tone for all communications Define questioning and clarification techniques Establish proactivity levels (when to suggest vs. when to wait) Create response length and detail parameters Develop relationship-building elements for ongoing interactions Step 4 → Knowledge Base Specification Establish core [KNOWLEDGE_AREAS] the agent should prioritize: Industry-specific terminology and concepts Methodologies and frameworks to apply Data sources to reference or suggest Emerging trends to monitor and incorporate Common challenges and proven solutions Step 5 → Implementation Instructions Provide operational guidelines for optimal agent performance: Activation and initialization sequence Preferred [OUTPUT_FORMAT] for different information types Memory retention requirements between sessions Evaluation criteria for measuring effectiveness Specific examples of ideal interactions and outputs Pro Tip: For the most effective AI agents, include "scenario training" by providing 2-3 specific example interactions with ideal responses. This dramatically improves the agent's ability to meet your expectations without constant correction.