Platform

AI
workflows

Orchestrate multi-step AI pipelines. Chain agents together with dependencies, approval gates, branching logic, and full observability.

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Concepts

Beyond single-agent tasks

Agents handle individual tasks. Workflows coordinate multiple agents into complex, multi-step processes with dependencies and control flow.

Sequential Pipelines

Chain steps together: extract data, validate it, enrich it, then publish. Each step can use a different model optimized for that task.

Parallel Branching

Fork workflows to run steps in parallel. Research multiple topics simultaneously, then merge the results for final synthesis.

Approval Gates

Insert human review points at critical junctures. The workflow pauses, a human reviews, and the workflow continues based on their decision.

Full Observability

Every step logs its inputs, outputs, reasoning, and timing. Monitor workflows in real-time. Debug failures with complete audit trails.

Examples

What workflows look like

Contract Review Pipeline

1. Ingest document
2. Extract key terms
3. Flag risk clauses
4. Human review gate
5. Generate summary report

Market Research Pipeline

1. Define research scope
2. Parallel web research (3 models)
3. Cross-validate findings
4. Synthesize into report
5. Format and distribute

Content Pipeline

1. Topic research
2. Draft generation
3. Fact-check pass
4. Editorial review gate
5. Publish

Automate your AI workflows

Custom workflow design is available now as a consulting engagement. Self-service product coming soon.