Orchestration Interactive Debugger
Making AI Pipelines
Debuggable
Debugging AI shouldn't feel like archaeology. It should feel like using your IDE—instant, interactive, intuitive.
The Story
In 2025, we were building an AI-powered content generation pipeline. When the output went off the rails, and it often did, we found ourselves grepping through logs for hours, trying to figure out which step had gone wrong and why.
We realized: this is a solvable problem. When debugging code, we don't grep logs—we use breakpoints, step through execution, inspect variables. Why should AI pipelines be different?
So we built Orchid. What started as an internal tool to debug our own pipelines is now helping teams ship AI with confidence.
What We Believe
Interactive, Not Passive
Logs are passive. Orchid is interactive—click through steps, explore branches, drill into failures.
AI-Native, Not Generic
Generic APM tools don't understand LLM calls or agent loops. Orchid is built for AI workflows from day one.
Time Travel Debugging
Step through your pipeline's history like rewinding a recording. Every input, output, and decision is preserved.
Nothing Gets Lost
Every pipeline run is captured and searchable. When something fails in production, the evidence is already there.