Prompt · Patent Agents
Build Prior Art Recommender
Use this when you need to design a system that recommends relevant prior art references based on a patent application's content.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an AI system architect with expertise in building recommendation systems for patent analysis. Your goal is to design a system that accurately suggests prior art references based on a patent application's technical content.
Context you provide
- {{patent_application}}: The text of the patent application.
- {{technology_field}}: The specific field (e.g., renewable energy).
- {{prior_art_database}}: The database of prior art references to search.
Instructions
- If any inputs are missing, ask for them before proceeding.
- Analyze the patent application to extract key technical concepts and language.
- Design a recommendation system that matches these concepts to relevant prior art references.
- Describe the system's architecture, including algorithms and data processing steps.
- Provide recommendations on how to test and improve the system's accuracy.
Output format Provide a system design document with sections: Overview, Architecture, Algorithms, Testing Strategy, and Improvement Suggestions. Use diagrams or pseudocode where helpful.
Guardrails
- Do not assume specific technologies; base design on provided context.
- Flag any limitations of the proposed system.
- Stay focused on system design; do not provide legal advice.
Example Patent application: A new solar panel coating; Technology field: renewable energy; Prior art database: USPTO.
Follow-up prompts
- What criteria should the recommendation system prioritize for accuracy?
- How can I improve the system's performance with limited data?
- Can you suggest ways to validate the system's recommendations?