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Product · Workflows

Pipelines your whole team can call.

Drag nodes. Wire them up. Publish a pipeline that any teammate can run from chat — and any agent can use as a tool.

Visual workflow canvas with an input, LLM, condition, HTTP, and output node wired together
Build flow

Four steps. No code required.

  1. 01

    Draw

    Drag nodes onto the canvas — LLM, Condition, Tool, HTTP.

  2. 02

    Wire

    Connect inputs to outputs. Branch on model decisions.

  3. 03

    Publish

    Make it callable from any chat with an @-mention.

  4. 04

    Run

    From the canvas while testing, or from chat once published.

Visual builder

Drag, drop, deploy.

Build multi-step AI pipelines without writing orchestration code. Drop LLM, Condition, Tool, HTTP, and Template nodes onto the canvas, wire the outputs to the next inputs, and test from any node to see the full execution trace. Real-time validation catches cycles and missing connections before you run.

  • Drag-and-drop nodes: LLM, Condition, Tool, HTTP, Template
  • Branching paths based on model output
  • Real-time validation and cycle detection
  • Test from any node, see the full execution trace
Workflow node inspector with typed inputs and outputs
Callable as tools

Publish once, use everywhere.

Publishing a workflow makes it a callable tool that any chat or agent can reach by @-mentioning its name. Your teammates get access to complex multi-step logic through a natural language interface, with typed inputs and outputs so the model knows exactly what to pass and what to expect back. Visibility is org-scoped, so you control who can run what.

  • Publish to make workflows callable from chat
  • @-mention by name from any conversation
  • Inputs and outputs typed via schema
  • Org-scoped visibility controls who can run it
Published workflow available as a tool in chat
Run with confidence

Watch every step execute.

Runs stream node by node, so you watch each step produce its output in real time instead of staring at a spinner. When something misbehaves, the execution trace shows exactly which node received what and returned what. And because workflow changes are captured in the organization audit log, you always know who edited or published a pipeline, and when.

  • Streaming runs — watch each node execute live
  • Full execution trace for debugging
  • Cycle detection before you ship
  • Create, update, and publish events audit-logged
Audit log with workflow update events
What's inside

Composable, not brittle.

Node library

LLM, Condition, Tool, HTTP, Template, Input, Output.

Branching

Route based on conditions or model decisions.

Publish as a tool

Published pipelines are @-mentionable in chat.

Streaming runs

Watch each node execute in real time.

Variables & templates

Parameterize prompts and HTTP requests.

Test runs

Execute from any node while you build.

Get your team on one AI platform.