What You Get
- 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.
TL;DR: Agents can suggest actions, but humans approve every meaningful decision path.
What We Don't Do
- 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.
Step 1
Agent proposes next action from session context.
Step 2
Human reviews rationale and checklist alignment.
Step 3
Decision is approved, modified, or rejected.
Step 4
Execution result is recorded in replay log.
Step 5
Feedback updates future recommendation quality.
Agent OS is a control plane for educational workflows, with human approval as a design requirement.