The Prompt Engineering Coach AI Agent helps you improve your AI prompts with model-specific recommendations backed by best practices from official documentation and proven optimization techniques. The agent analyzes your current prompt structure, identifies improvement opportunities, and provides tailored recommendations based on the specific AI model you're targeting.
Examples of prompts to optimise:
- Current Prompt: "Analyze Generali and HDI websites and tell me what they're doing with their digital insurance offerings"
- Model: Anthropic (Claude)
- Context: Competitive analysis for Allianz comparing digital insurance offerings from other German insurers
- Current Issues: Analysis is too surface-level and doesn't provide specific actionable insights about competitive advantages or strategic recommendations
- Current Prompt: "How are Air France-KLM and British Airways positioning themselves for business travelers now?"
- Model: OpenAI (ChatGPI)
- Context: Strategic positioning research for Lufthansa to refine their premium services messaging
- Current Issues: Research covers general positioning but doesn't identify specific gaps or opportunities Lufthansa could exploit in their messaging strategy
System Limitations:
- Recommendations are based on documented best practices and may not cover cutting-edge or experimental prompt techniques
- All optimization suggestions are AI-generated and should be tested with your specific use case before implementation
- Cannot access private or proprietary model documentation beyond publicly available resources
- Effectiveness may vary based on how well the target model specifications are documented
Data Processing:
- This AI Agent does not have an active long-term memory and does not store any data after the execution of your request finishes.
- No personal identifiers are saved by the AI Agent or shared with third parties to answer your question
- Your prompts and optimization requests are processed in real-time and not stored or cached by the agent itself