Agentic Automation / Execution
Agent authors. Human approves. Runtime executes. Report proves.
Agentic Automation turns one-off agent work into reusable, governed workflows with deterministic execution and evidence reports.
Governed Runtime
Agents should not leave important work as chat scrollback.
If a task is worth repeating, trusting, or handing to another agent later, it needs a workflow definition, an approval gate, and a run report.
Agent-authored workflows
The agent drafts blocks and workflows from browser, HTTP, file, data, assertion, and command primitives.
Approval-gated execution
Drafts cannot run until the human approves the exact workflow or block shape.
Deterministic runtime
aart does not call an LLM. The agent authors; the runtime validates and executes.
Evidence reports
Every run leaves per-step traces, pass/fail, artifacts, and screenshots where relevant.
Current artifact
aart — Agentic Automation RunTime
The current implementation is @team-monet/aart: an MCP and CLI runtime for governed automation blocks, workflow approvals, and evidence-producing runs.