Flow Builder
Design conversation logic
without writing code
A visual node editor lets you build multi-step conversation flows with branching conditions, variable mapping, and built-in testing so your AI agents handle complex scenarios reliably.
Visual, not verbal
Drag-and-drop nodes replace written prompts, making complex conversation logic easy to build, review, and iterate on.
Test before you ship
Sandbox testing lets you simulate conversations and verify every branch before your agent goes live.
Learn from every conversation
Flow history logs every execution path so you can identify drop-off points and optimize for better outcomes.
Flow design tools
Build complex logic with simple tools
Visual Node Editor
Drag and drop message, condition, action, and API nodes onto a canvas and connect them to define your conversation flow.
Branching Logic
Create if/else branches based on user input, CRM data, time of day, or custom variables to handle every scenario.
Variable Picker
Map variables from user inputs, CRM fields, and API responses into your flow without manual string formatting.
Node Testing
Test individual nodes in isolation to verify prompts, conditions, and API calls produce the expected output.
Flow Testing
Run full end-to-end simulations in a sandbox environment to walk through every path before deploying to production.
Flow History
Review a log of every conversation that ran through the flow, including the path taken, variables set, and final outcome.
Visual Logic
See your conversation flow at a glance
The node canvas gives you a bird's-eye view of every path a conversation can take. Spot dead ends, redundant branches, and missing fallbacks visually instead of reading through pages of prompt text. Your team reviews flows the way they review flowcharts.
Execution History
Understand exactly what happened and why
Every conversation that passes through a flow is logged with the exact path taken, variables resolved, conditions evaluated, and final outcome. Use this data to identify drop-off points, optimize branching logic, and continuously improve agent performance.
Design smarter conversations
Stop guessing how your agent will respond.
Build, test, and refine conversation flows visually so your AI agent handles every scenario with confidence.