Definition: Intelligence DNA represents the AI agent network in your workspace. You configure agents with specific instructions, knowledge sources, and tools to create specialized digital team members. Agents use the context you provide to deliver relevant, accurate responses.
Agent Specialization
An agent is defined by four things you control. Change any one and you get a different teammate.
| Dimension | What you set | Effect on behavior |
|---|---|---|
| Custom instructions | Role, tone, and expertise in plain English | Defines what the agent is for and how it speaks |
| Workspace context | Which projects it can read | Grounds answers in your data instead of general priors |
| Specialized tools | A subset of the built-in tools | Bounds what it can actually do |
| Agent memory | Continuity within a conversation | Stops the user re-explaining mid-thread |
Narrowing all four is usually better than widening them. An agent with a tight role, a specific project, and three tools has far less to guess about than a general one, and it is right more often for exactly that reason.
Multi-Agent Collaboration
Multi-Agent Coordination: Multiple agents can work together on tasks, each bringing their configured expertise
Complementary Skills: Configure different agents for different functions -- support, sales, research -- and let them collaborate
Shared Knowledge Sources: Agents connected to the same projects can reference the same organizational data
Task Routing: Direct tasks to the agent best configured to handle them
Agent Configuration Patterns
Research Agents: Configure with access to industry data and research instructions
Content Agents: Set up with your brand guidelines, style preferences, and content standards as instructions
Project Agents: Configure with your project management methodology and team coordination rules
Support Agents: Set up with your knowledge base, FAQ data, and customer service guidelines
Analysis Agents: Configure with access to your business data and analysis instructions
Intelligence DNA Benefits
Faster Onboarding: New team members can use configured agents to access workspace knowledge
Preserved Knowledge: Critical processes and information are captured in agent instructions and connected projects
Scalable Assistance: Configured agents can handle increased volume without proportional manual effort
Consistent Quality: Agents follow the instructions and standards you define across all interactions
Getting Started: Begin with one specialized agent for a core business function. Configure it with clear instructions and relevant project data, then add more agents as your needs grow.
Further Reading:
- How Workspace DNA Works — Deep dive into the architecture connecting memory, intelligence, and execution
- What Are AI Agents? — Comprehensive guide to AI agent types, benefits, and how they work
Related Concepts: AI Agents, Action DNA, Workspace Intelligence