A structured workflow environment for disciplined AI-assisted engineering and research. Multi-stage workflows and schema-backed prompts run in parallel across providers; artifacts are tracked and outputs compared side-by-side.
Define workflows as structured stages with contracted inputs and outputs. Each stage is auditable; prompts and schemas are versioned alongside your repo.
Run identical workflows across multiple frontier providers and local open models in parallel. No favored vendor; outputs sit side-by-side for diff and comparison.
Every run is tracked: inputs, outputs, model versions, latencies. Artifacts can be replayed, diffed, and exported. Built for review, not surrender.
Ringmaster is in invitational beta. Tell us about your team and how you use AI-assisted workflows today; we’ll let you know when there’s a slot. All correspondence goes through the studio.
A boutique engineering studio in Seattle, WA. Designing serverless backends, building the software that operates them, and consulting on the systems other teams have already shipped.