Writing effective instructions for Deep Thinking

Deep Thinking instructions define what your Agent should remember or forget during conversations. Unlike standard instructions that guide behavior, these instructions manage persistent memory: what information to retain in order to improve future interactions, and what to ignore in order to protect privacy.

Structure of memory instructions

Deep Thinking instructions should follow this structure:

INSTRUCTIONS FOR USING KNOWN FACTS:
1. YOU MUST REMEMBER:
 - [List of information to remember]
 
2. YOU MUST NEVER REMEMBER:
 - [List of information to ignore]

🔒 User privacy is always the top priority. Make sure your instructions respect and protect users' personal information.

What to have your Agent remember

When deciding what the Agent should remember, think about information that improves the experience over time:

User preferences: preferred communication style, language, desired level of detail;

Professional context: job role, industry, ongoing projects;

Goals and interests: recurring topics, skills to develop, problems to solve;

Interaction history: decisions made, solutions adopted, feedback received;

Contextual information: non-sensitive company data, references to tools used.

Tips for effective configuration

To get the most out of Deep Thinking:

  • Be specific: clearly define which types of information should be remembered;

  • Stay relevant: focus on data that improves the user's experience in the long run;

  • Think about context: tailor the instructions to your Agent's specific purpose;

  • Use examples: provide concrete examples to illustrate what to remember and what to avoid;

  • Review periodically: update the instructions to make sure they stay relevant.

Practical examples

Sales assistant agent:

Training tutor agent:

A good Deep Thinking configuration transforms your Agent from a generic assistant into a collaborator who truly knows you. Taking the time to carefully define what to remember and what to forget means creating increasingly personalized and relevant experiences, while keeping user security and privacy at the center of everything.

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