Human-in-the-Loop Systems
Build hybrid systems where agents automate routine work and humans handle complex decisions
Your Progress
0 / 5 completedDesigning Approval Workflows
When agents can't fully automate a task, they don't just dump it on humans. Instead, they do the work and present recommendations for human approval. This reduces human cognitive load while maintaining oversight.
The Three-Stage Approval Pattern
Agent gathers context, evaluates options, formulates a recommendation with reasoning
Human examines the recommendation, checks reasoning, makes the final call
If approved, agent carries out the action; if rejected, agent adapts or escalates further
What Makes a Good Approval Request?
Clear, specific proposal. "Refund $450 to account #12345" not "Customer is unhappy"
All relevant info included. Order history, customer status, policy rules—no need to dig around
Agent explains why. "Policy XYZ applies because..." helps humans verify logic quickly
Approve or reject, not open-ended. Minimizes decision fatigue—yes/no is faster than "what should we do?"
Interactive: Approval Dashboard Simulator
You're a human supervisor. The agent has analyzed these requests and is asking for your approval. Click "Let Agent Propose" to see the agent's recommendation, then approve or reject:
Notice how the agent doesn't just say "there's a problem"—it analyzes the situation, proposes a solution, and explains its reasoning. This transforms your role from problem-solver to quality-checker, dramatically reducing cognitive load.