What to expect
- A structured pipeline for recommendations and approvals.
- Replayable logs tying each action to the review context.
- A workflow model that supports compliance-safe operations.
Human-in-the-Loop
Agent OS: Propose, Then Approve
Agent OS coordinates training tasks and recommendations while keeping humans in final control. The goal is safer process execution, not autonomous trading.
Agents can suggest actions, but humans approve every meaningful decision path.
Current boundaries
- No unsupervised autonomous trading behavior.
- No direct broker control delegated to agents.
- No claims of guaranteed edge or returns.
Agent OS Decision Path
Built for accountability in trader education workflows.
- 01Agent proposes next action from session context.
- 02Human reviews rationale and checklist alignment.
- 03Decision is approved, modified, or rejected.
- 04Execution result is recorded in replay log.
- 05Feedback updates future recommendation quality.
Agent OS is a control plane for educational workflows, with human approval as a design requirement.