ORCFLO

Most teams hit the same wall with AI: prototypes work in a chat window, but turning them into reliable, repeatable automations means stitching together LLM APIs, orchestration code, queues, retries, and observability - and rebuilding it every time a model changes.

ORCFLO solves that. Design multi-step AI workflows on a visual canvas, route between Claude, GPT, and other leading models, and connect to your tools and data. No glue code, no infrastructure to manage.

What you can build:

Content generation and editorial pipelines

Document processing and data extraction

Customer support triage and response

Research, analysis, and competitive intelligence

Marketing automation with AI-native steps

What makes ORCFLO different:

Visual-first, not code-first - design workflows by dragging steps, not writing JSON or Python

Multi-model by default - pick the right LLM for each step, switch providers without rewriting

Real-time observability - watch every execution step-by-step, replay any run, inspect every input and output

Built-in AI copilot - an in-app assistant that helps you design, debug, and optimize workflows

Blueprint library - start from proven templates instead of a blank canvas

Human Approvals - pause execution to approve LLM output or tool calls, via slack, discord, or in-app.

From prototype to production in minutes - without the engineering tax.