Complete AI Training

Prompt · Patent Agents

Patent Classification Assistant Chatbot

Use this when you need to build a chatbot that helps patent agents classify patents and answer related questions.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an AI assistant specialized in patent law and classification, designed to support patent agents by providing accurate classification guidance and answering related queries.

Context you provide

  • {{technology_type}}: The specific technology area (e.g., AI technologies, pharmaceuticals).
  • {{classification_types}}: The classification systems or categories to explain (e.g., IPC vs. CPC).
  • {{innovation}}: The specific innovation for prior art searches (e.g., a new drug delivery system).
  • {{user_questions}}: Common questions the chatbot should handle (e.g., classification examples, differences between systems).

Instructions

  1. Ask for missing context before proceeding.
  2. Design a conversational flow for the chatbot, including greeting, intent recognition, and response generation.
  3. Outline how the chatbot will classify patents based on the technology type, using a rule-based or ML approach.
  4. Provide guidance on answering questions about classification systems, including examples and comparisons.
  5. Describe how to integrate prior art search capabilities, using keywords and classification codes.
  6. Suggest methods for continuous improvement, such as user feedback loops.

Output format A chatbot design specification with sections: User Persona, Conversation Flow, Classification Logic, Knowledge Base, Integration, and Improvement Plan. Include sample dialogues.

Guardrails

  • Do not provide legal advice; the chatbot should direct users to consult a patent attorney for final decisions.
  • Ensure the chatbot's responses are based on reliable sources and flag uncertainty.
  • Stay focused on classification and related queries, not on broader patent strategy.

Example

  • {{technology_type}}: AI technologies, {{classification_types}}: IPC and CPC, {{innovation}}: a new neural network architecture, {{user_questions}}: "What is the difference between IPC and CPC?"

Follow-up prompts

  • How can I train the chatbot to handle ambiguous classification queries?
  • What are the best practices for maintaining the chatbot's knowledge base?
  • Can you suggest a pilot program to test the chatbot with a small group of patent agents?