Track training and nutrition habits with a health agent
The poster built an agent that uses two Sheets tools to track and analyze training and nutrition, with sleep and psychological tracking planned. Task: Suggested implementation: Build a health tracking agent using two spreadsheet tools for training and nutrition data. Integrate a WhatsApp API interface where a pre-agent 'get rows' step filters data by sender ID to ensure privacy. Human role: Monitor data validation logs and approve new tracking features like sleep or psychological metrics before deployment.; tools: custom-built or unnamed agent. Human role: Source evidence is unavailable regarding specific human roles or division of labor.; limitations: Prerequisites: Access to WhatsApp Business API and spreadsheet storage. Constraints: Privacy validation is critical; the system relies on sender ID filtering. Cost: Development time estimated at five months in the original context. Human approval: Required for any changes to data filtering logic or new feature integration..
Tools
custom-built or unnamed agent
Published on Agent Work Atlas:
Overview
The poster built an agent that uses two Sheets tools to track and analyze training and nutrition, with sleep and psychological tracking planned.
Workflow
Suggested implementation: Build a health tracking agent using two spreadsheet tools for training and nutrition data. Integrate a WhatsApp API interface where a pre-agent 'get rows' step filters data by sender ID to ensure privacy. Human role: Monitor data validation logs and approve new tracking features like sleep or psychological metrics before deployment.
Reported result
Outcome unknown: The source indicates the project was in development with incomplete tracking features and no measured usage metrics. Proposed acceptance check: Verify that the 'get rows' filter correctly isolates user data in a test environment with zero cross-user leakage incidents.
Human role
Source evidence is unavailable regarding specific human roles or division of labor.
Limitations
Prerequisites: Access to WhatsApp Business API and spreadsheet storage. Constraints: Privacy validation is critical; the system relies on sender ID filtering. Cost: Development time estimated at five months in the original context. Human approval: Required for any changes to data filtering logic or new feature integration.
Try it
Act as a health tech developer. I need to prototype a WhatsApp-based health tracking agent. Inputs: - [replaceable: Training data spreadsheet URL] - [replaceable: Nutrition data spreadsheet URL] - [replaceable: WhatsApp API credentials] Steps: 1. Configure the agent to receive WhatsApp messages via API. 2. Implement a pre-agent 'get rows' function that filters spreadsheet data strictly by the sender's phone number ID. 3. Set up logging to record which user ID accessed which rows. 4. Create a dry-run test with two dummy user IDs to verify data isolation. Output: - A configuration file for the agent. - A test report showing successful data filtering for both dummy users. Quality Check: - Ensure no data from User A is visible to User B. - Confirm the agent responds only with relevant training/nutrition stats. Safeguards: - Do not connect to real user data yet. - Require my explicit confirmation before deploying to any live WhatsApp number. - If API credentials are missing, ask for them before proceeding.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.