Agents
What Is an Agent?
An agent in Sprig is an AI-powered worker with a clearly defined role.
Instead of responding randomly, agents operate with:
A specific responsibility
Clear instructions
Access to approved knowledge
Controlled behavior
Agents are designed to produce reliable outcomes, not just conversations.
What Agents Are Used For
Agents are typically used to:
Answer customer or internal questions
Make decisions based on context
Perform structured tasks inside workflows
Act as intelligent interfaces between users and systems
Each agent is optimized for one primary job.
Agent Components
Every agent in Sprig is made up of four core parts.
Role
The role defines what the agent exists to do.
Examples:
“Customer support assistant”
“Lead qualification agent”
“Internal operations helper”
A clear role improves accuracy and predictability.
2. Instructions
Instructions define how the agent should behave.
Good instructions are:
Specific
Bounded
Aligned to one task
Example:
3. Knowledge Access
Agents don’t guess — they reference approved knowledge.
You can connect agents to:
Product documentation
Help articles
Internal notes
External sources
Example configuration:
Common Mistakes
Overloading one agent with multiple roles
Giving vague or open-ended instructions
Connecting too many data sources
Treating agents like general-purpose chatbots
Agents work best when scoped tightly.