Plan the whole mission
A planning model turns an outcome into a concrete sequence across code, browsers, databases, messages, and MCP tools.
AI agents can carry a goal across many tools. AgentGate checks identity, policy, data, risk, cost, and human approval before each proposed action reaches the outside world.
The model builds the workflow. AgentGate independently evaluates every proposed Tool Call. The public lab never executes a tool.
Try a mission with reads, writes, external messages, or destructive steps.
The model supplies the plan. AgentGate supplies an execution boundary the model cannot talk its way around.
A planning model turns an outcome into a concrete sequence across code, browsers, databases, messages, and MCP tools.
Deterministic policy and risk controls independently evaluate every step. Model output never expands authority.
High-impact steps wait for a human. AgentGate binds approval to the immutable request and rechecks before execution.
Start with a sandbox agent and a test MCP server or repository.