Describe the workflow. Watch the graph appear. Keep humans in control.
WorkSwarm treats workflow authoring as a conversation. The system turns intent into a DAG, wires missing tools in chat, and runs the workflow with checkpoints, live progress, and the ability to pause or fork when reality changes.
Workflow lifecycle
Describe the workflow in chat
Users express the work in natural language rather than starting in a drag-and-drop canvas.
Generate a DAG
SwarmGuide turns the request into a visible graph of triggers, actions, checkpoints, and waits.
Connect missing tools
Required MCPs are recommended inline and connected without leaving the thread.
Run, pause, fork, approve
The workflow executes with live state while preserving human checkpoints and editability.
Why it matters
The workflow should adapt to the operator, not force the operator into a builder first.
WorkSwarm keeps the authoring surface in chat and treats the graph as a visible execution contract. That lets operators iterate in natural language without giving up control, auditability, or runtime safety.
DAG visibility
The graph is visible in chat so the system intent remains inspectable.
Pause and fork
Operators can stop a flow or branch it when a real-world exception appears.
Checkpoint injection
High-blast-radius actions pick up explicit approval nodes instead of silently continuing.
MCP continuity
Tool recommendations and auth events happen in the same thread as the workflow itself.
Go next
Workflow buyers usually need to see the adjacent pieces: agents, integrations, and runtime trust.
The workflow story gets stronger when you can follow it into the agent system, the MCP model, and the trust posture that governs approvals and execution state.
Agents
See the named specialist model that authors and executes work inside the workflow graph.
Integrations
See how missing tools are recommended and connected without leaving the thread.
Trust in Product
See how approvals, audit visibility, and runtime posture remain visible around workflow execution.
Customer Success
See a concrete pack where triage, escalations, and QBR work become operational flows.
Execution matters more than builder aesthetics.
The workflow story is strongest when it stays attached to real work: live progress, tool state, checkpoint approvals, and the same chat thread where the request began.