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Governance, pipeline design, and building verifiable agent automation.

Feature Spotlight: How A/B testing finds the best agent configuration

Variants let you run the same pipeline with different prompts, models, or schemas side by side, so you can measure which configuration produces better output.

feature-spotlightvariantsab-testing

"Feature Spotlight: How triggers start your pipelines on demand or on a schedule"

"Triggers start pipeline runs from external events, schedules, or manual calls, so your agents run at the right time without anyone pressing a button."

feature-spotlighttriggersautomation

"Feature Spotlight: How secrets management keeps your credentials out of agent state"

"Secrets are encrypted at rest with Fernet, decrypted once at run-start into a transient context, and never written to agent state, logs, or checkpoints."

feature-spotlightsecretssecurity

Feature Spotlight: How schemas catch bad agent output before it matters

Schemas are typed contracts at every agent boundary that validate input and output, so malformed or dangerous output never reaches downstream systems.

feature-spotlightschemasvalidation

"Feature Spotlight: How model backends let you mix AI providers in one pipeline"

Model backends are provider configurations that route agents to the right LLM, so you can mix Anthropic, OpenAI, and local models in a single pipeline.

feature-spotlightmodel-backendsai

Feature Spotlight: How lifecycle maps give you a single view of your entire SDLC

Lifecycle maps model your SDLC as a DAG of stages and transitions, so you can see how work flows from idea to production across all your tools.

feature-spotlightlifecycle-mapsorchestration

"Feature Spotlight: How the Library gives you proven primitives to start from"

The Library is a catalog of schemas, agents, workflows, and connector packages you can copy and adapt, so you start from working primitives instead of blank configs.

feature-spotlightlibraryprimitives

Feature Spotlight: How HITL gates stop bad agent output before it ships

HITL gates pause a pipeline at a checkpoint and require a human to approve or reject an agent's output, so high-stakes changes cannot ship without review.

feature-spotlightgatesgovernance

Feature Spotlight: How evals score your agent output so you know what shipped

Evals are automated quality checks that score agent output against rubrics, patterns, or schemas, so you know what passed and what failed before anything ships.

feature-spotlightevalsquality

Feature Spotlight: How connectors let you swap tools without changing pipelines

Connectors wrap external APIs in sandboxed interfaces so agents can call GitHub or Notion without hardcoding credentials into prompts.

feature-spotlightconnectorsintegrations
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