Visual AI Workflows

Agent Builder

Design and deploy sophisticated AI agents without code

Table of Contents
  1. Overview
  2. What is the Agent Builder?
  3. The Main Dashboard: Your Command Center
  4. Core Concepts: The Building Blocks of Logic
  5. Building Your First Agent: Step-by-Step
  6. Detailed Node Reference
  7. Running, Testing, and Debugging
  8. Advanced: Performance Optimization
  9. Mastering Your Workflows
  10. Troubleshooting Guide
  11. Explore the Documentation

Overview


What is the Agent Builder?

Understanding Agent Workflows

The Agent Builder is built around two distinct concepts that work together: an Agent is the persona that runs (name, system prompt, default model, agent-level variables), and a Workflow is the visual node graph the agent executes. Each Agent runs exactly one Workflow. Workflows are composed of nodes — discrete operations like LLM calls, decision routing, loops, file reads, or RAG ingestion — connected together to form a logical flow.

Agents

The persona configuration: who is running and how they behave

Name, description, system prompt
Default model and temperature
Agent-level variables

Workflows

The visual node graph the agent executes (up to 50 nodes)

Drag-and-drop canvas
9+ node types across AI, Control Flow, Data
Exportable as JSON
Skip the blank canvas: Start from a pre-built Template or let AI Assist generate a workflow from a natural-language description.

The Main Dashboard: Your Command Center

Dashboard Overview

When you navigate to the Agent Builder, you land on the main dashboard. This is your central hub for creating, organizing, and launching agents.

Agent Builder dashboard with Agents and Templates tabs

The Agent Builder dashboard with its tab navigation

The dashboard is organized into two tabs:

  • Agents — every agent in your workspace, with quick actions to open, run, duplicate, or delete. Use the New Agent button to start a new agent.
  • Workflows — every workflow in your workspace, plus a gallery of pre-built Templates (which are themselves just ready-to-use workflows you can copy as a starting point).

A Getting Started panel on the dashboard surfaces three ways to begin a new workflow:

  • Build with AI — describe what you want and let AI Assist generate the workflow for you.
  • Start from a template — copy one of the pre-built Templates as a starting point.
  • Start blank — open an empty canvas and build node-by-node.

Core Concepts: The Building Blocks of Logic

Understanding the Fundamentals

Understanding the core concepts of the Agent Builder is essential for creating effective workflows. The system is built around nodes, connections, and execution flows that determine how your agent processes information and makes decisions.

1

Add Nodes

Select and place nodes on the canvas

2

Connect

Link nodes to create execution flow

3

Configure

Set parameters for each node

4

Execute

Run and test your workflow


Building Your First Agent: Step-by-Step

Create Your First Workflow

Creating your first agent is an exciting process. We'll guide you through each step, from initial setup to deployment.

Time Investment: Your first workflow might take some time to build as you familiarize yourself with the interface. Start with simple workflows and gradually increase complexity as you gain confidence.

Detailed Node Reference

Available Node Types

The Agent Builder provides a variety of nodes that serve different purposes in your workflow. Each node type has specific capabilities and configuration options.

Node Categories: Nodes are organized into categories such as Input/Output, Logic & Control, Data Processing, AI Operations, and Integrations. Browse through each category to discover the available options for your workflows.

Running, Testing, and Debugging

Test and Debug Your Agents

Testing and debugging your agents is crucial to ensure they perform as expected. Learn how to test workflows, interpret results, and troubleshoot issues.

1

Test Run

Execute workflow with test data

2

Review Results

Analyze output and behavior

3

Debug Issues

Identify and fix problems


Advanced: Performance Optimization

Optimize Your Workflows

Once you're comfortable with basic agent creation, you can optimize your workflows for better performance, cost efficiency, and reliability.

Performance Tips: Consider factors like node execution order, data caching, and token usage when optimizing your workflows. Small improvements can lead to significant gains in efficiency and cost savings.

Mastering Your Workflows

Advanced Techniques

Take your agent building skills to the next level by mastering advanced techniques, best practices, and workflow patterns.

Conditional Logic

Create dynamic workflows that adapt based on conditions

IF/THEN logic
Switch statements
Loop controls

Integrations

Connect your workflows to external systems and data sources

API connections
Database queries
File operations

Troubleshooting Guide

Common Issues and Solutions

Common issues and their solutions to help you resolve problems quickly and get your agents running smoothly.

Need Help? If you encounter issues not covered in this guide, reach out to the Ask Sage support team at support@asksage.ai. We're here to help you succeed with the Agent Builder.

Explore the Documentation


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