OSS-first docs

These docs teach the open system first: contracts, generated surfaces, runtimes, governance, and incremental adoption. Studio shows up as the operating layer on top, not as the source of truth.

Meetup-ready example

Agent Workflow Command Center

A ContractSpec example for operating supervised AI agents inside business workflows with human review and governance

Open sandbox Generated reference

Sandbox preview

Load the same public browser surface used for the prepared live demo.

Open preview

Reference docs

Inspect the generated contract-facing material instead of relying on marketing summaries.

Open reference

Package context

Use the agent-facing package page for fast repo orientation, then jump to the source directory.

@lssm-tech/example.agent-workflow-command-center

LLMS page GitHub source

Talk commands

Exact local commands for the meetup lane

Build the example package, then launch the web shell and open the prepared docs or sandbox route.

agent-workflow-command-center-meetup-runbook

bun run --cwd packages/examples/agent-workflow-command-center build
bun run --cwd packages/apps/web-landing dev

# Open in the browser
# http://localhost:3000/docs/examples/agent-workflow-command-center
# http://localhost:3000/sandbox?template=agent-workflow-command-center

For the full fallback order and safe live-edit workflow, use the meetup runbook.

Live example

Agent Workflow Command Center preview

This page uses the same shared preview surface as the template modal and sandbox. UI-backed examples render inline; the rest keep docs, sandbox, LLMS, and source links in one place.

ContractSpec Example

Agent Workflow Command Center

A ContractSpec example for operating supervised AI agents inside business workflows with human review and governance

ContractSpec Example

Agent Workflow Command Center

PME industrielle • 85 employees • Finance transformation

Agent Workflow Command Center

An all-in-one operator cockpit for supervised AI agents in business workflows. The client team can manage agents, assign them to workflows, review outputs, enforce governance, and track adoption.

What This Demonstrates

Agent Management: Fleet overview, configuration, tool permissions, and lifecycle controls

Workflow Orchestration: State-machine workflows with agent assignments and transitions

Human Review: Review queue with approve, reject, request changes, and escalate actions

Governance: Tool policies, risk thresholds, and blocked actions

Audit Trail: Complete event timeline with deterministic evidence

Who It Is For

• Finance teams undergoing AI transformation

• Consulting firms implementing client handovers

• Operations teams managing AI-assisted workflows

• Compliance officers requiring audit trails

Core Entities

AgentProfile: Configurable AI worker with autonomy levels

WorkflowInstance: State-machine with agent assignments

HumanReview: Review queue with decisions and feedback

ToolPolicy: Governance rules for tool access

Canonical Demo Path

1. Open the Agent Workflow Command Center sandbox

2. Inspect active agents and workflows in progress

3. Review the Cash Aging Agent and its governance policy

4. Open the Cash Recovery workflow and assign an agent

5. Trigger a deterministic agent run

6. Inspect run logs and emitted events

7. Approve or request changes on outputs

8. Show workflow state transitions

9. Demonstrate blocked high-risk tool calls

10. Generate the handover readiness checklist

Safety Note: All agent outputs require human review. No operational actions without approval. Deterministic and offline-safe demo.

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Open system docs

Agent Workflow Command Center

Sandbox preview

Reference docs

Package context

Exact local commands for the meetup lane

Agent Workflow Command Center preview