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Pintle Flows

Build, run, and observe agentic workflows your business actually uses.

A workflow runtime for stitching models, tools, and humans into reliable productivity processes — versioned, evaluated, and deployed like any other software.

See it run

What you get

  • Composable nodes

    Model calls, tool invocations, human approvals, and code steps as first-class building blocks you connect with typed edges.

  • Evals in the loop

    Attach evals as guardrails or as offline batch runs. Block a release when score regresses; alert when production drifts.

  • Versioned by default

    Every flow is a typed artifact in your repo. Branch, diff, and merge changes with the rest of your codebase.

  • Multi-model routing

    Switch models per node, per cost ceiling, per latency budget. Fall back gracefully when a provider degrades.

A different starting point

Most “agent frameworks” optimize for demos. Pintle Flows optimizes for what happens on day 90 — when the workflow has shipped, drifted, regressed once already, and now needs to be improved without breaking it. That’s why flows are typed, versioned, and shipped through the same review process as the rest of your code.

Built on Pintle Control

Every flow runs through Control’s identity and policy layer. You write the business logic; the platform handles the bouncer at the door.

Specifications

Languages
TypeScript, Python
Runtimes
Cloudflare Workers, AWS Lambda, self-host
Eval harness
Inspect, Promptfoo, OpenAI Evals — adapters included
Triggers
HTTP, schedule, queue, webhook, MCP

See Pintle Flows in action.

A 30-minute call is the fastest way to find out whether this is the right fit.

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