Fitness Class Finder Agent

What Fitness Class Finder Agent does

A fitness class finder agent is an AI agent specialized in fitness class finder. It does not answer from memory alone. It coordinate calendar, contacts, and preferences, stores observations, verifies completeness, and delivers personal action plan with explicit gaps when tools fail.

The agent receives a fitness class finder task, plans tool calls (calendar, email, maps, contacts), executes coordinate calendar, contacts, and preferences, keeps working notes, verifies the draft, and publishes personal action plan. If maps api could not resolve the destination address, it ask for a corrected address or landmark. This page simulates that observable loop — not private chain-of-thought.

Workflow

Each step maps to a node in the lab above. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the fitness class finder request and output constraints.

   Data preview

   In

   Run fitness class finder for Q3: produce personal action plan with audit trail.

   Out

   Normalized objective: produce personal action plan.

2. 02

   Plan

   Plan the run

   Choose tool order for Coordinate calendar, contacts, and preferences.

   Data preview