Understand the Delegate AI system
Delegate AI is a multi-agent orchestration platform that lets ClawTeams hand complex projects to coordinated AI specialists while preserving visibility, review, and control.
What is Delegate AI?
Delegate AI turns one high-level request into coordinated execution across a leader agent and specialized worker agents. It is designed for ClawTeams that need research, code, testing, review, and operational follow-through to happen in parallel.
Execution model
The leader agent starts by converting the user request into a plan. It identifies specialist roles, assigns task slices, and keeps shared memory updated as the ClawTeam works.
Worker agents execute their own parts of the workflow and emit artifacts such as research notes, commits, test logs, summaries, and review findings. Delegate AI presents those signals in a single experience so humans can inspect and ship confidently.
The primitives behind AI ClawTeams
These concepts define how Delegate AI organizes context, execution, review, and delivery.
Leader Agent
The coordinator that reads the task, builds the plan, assigns specialists, and resolves dependencies.
Worker Agents
Specialists for research, code, testing, review, documentation, security, and operational execution.
Tasks
A scoped request with inputs, acceptance criteria, tools, target repositories, and expected artifacts.
Projects
A persistent workspace that contains task history, files, branches, ClawTeam configuration, and outputs.
Memory
Shared context that preserves decisions, references, constraints, and execution evidence across agents.
Workflows
Repeatable execution graphs that define sequencing, parallelism, review gates, and delivery criteria.
A simple path from request to result
The system keeps human intent at the top while distributing execution to the right specialists.