Monitor moods, log entries via webhook, analyze trends with GPT-4o, and email AI-generated summaries to your inbox.
The AI Agent captures daily mood entries via a webhook and stores them in a Data Table. It enriches each entry with date and time, enabling reliable weekly and monthly analyses. GPT-4o analyzes mood patterns and sends AI-generated insights plus actionable recommendations via Gmail.
Logs mood data, processes it end-to-end, and delivers AI-assisted insights.
Receive mood via webhook with optional note.
Enrich mood entries with date, hour, and notes.
Insert mood row into the Data Table.
Schedule weekly aggregation of the last 7 days.
Schedule monthly aggregation of the last 30 days for deeper AI analysis.
Send AI-generated insights and full reports via Gmail.
Before: Mood data is scattered across notes and apps, making patterns hard to spot. After: Mood data is centralized, automated weekly and monthly insights are delivered, and you receive concrete actions.
A simple 3-step flow.
Mood values and optional notes are POSTed to /mood, timestamped accordingly.
The system adds date and hour fields and stores the entry in the Data Table.
Weekly (Sunday 20:00) and monthly (Day 1 08:00) schedules run GPT-4o analysis and Gmail delivers the report.
A realistic scenario showing timing, inputs, and outcomes.
Scenario: A user logs moods for 7 days via /mood. The agent aggregates the last 7 days at Sunday 20:00, runs GPT-4o analysis, and emails a charted weekly report with three recommendations to the inbox.
Who benefits from automatic mood tracking and AI-driven insights.
Wants structured mood data and AI feedback.
Tracks client mood patterns between sessions.
Monitors client progress and tailors plans.
Gauges team morale and flags concerning trends.
Collects mood data for studies while preserving privacy.
Correlates mood with focus and performance.
Tools used inside the AI agent to capture, store, and analyze mood data.
Receives mood entries and optional notes in real time.
Stores mood rows with date, hour, mood value, and notes.
Performs weekly and monthly mood analysis and generates 3 actionable recommendations.
Delivers the full report, including charts and AI-generated text, to your inbox.
Common scenarios where this AI agent adds value.
Common questions about setup, data, and outputs.
Mood value, date, time, and optional notes are recorded in a Data Table as entries. The webhook /mood is the entry point, and each submission creates a timestamped row. Data is retained for weekly and monthly analyses. Access is restricted to your instance and the credentials you configure, ensuring privacy. You can anonymize or remove credentials when sharing.
The AI agent runs inside your environment (n8n instance) and no personal data is exposed outside it. Data Tables store your mood history locally, and OpenAI processing uses your provided credentials without exposing data externally. You should restrict access to trusted users and rotate credentials regularly.
The AI agent supports OpenAI GPT-4o for mood analysis and can be configured to use compatible models. You control the API key within your environment. Outputs are generated from the chosen model and can be tuned by prompt and temperature settings.
Weekly reports are generated every Sunday at 20:00, and monthly reports are created on Day 1 at 08:00. Each report includes a chart, AI-driven insights, and 3 actionable recommendations. You receive the email via Gmail to your inbox. You can adjust schedules to fit your workflow.
The current setup is designed for a single individual. To track multiple people, you would need separate Data Tables and credentials for each, or build a multi-tenant arrangement within your environment. Ensure privacy and separation of data between users. This can be extended with a per-user identifier in the mood payload.
You can stop the automation by taking down the webhook or disabling the workflow in your n8n instance. Data already collected remains in the Data Table unless you delete it. Deleting credentials prevents further AI processing. You should back up data before making changes.
Yes. You can adjust prompts, model temperature, and the number of actions generated. You can also tailor the summary content and the preferred format of the Gmail report. Ongoing tuning allows personalization and relevance to your goals.
Monitor moods, log entries via webhook, analyze trends with GPT-4o, and email AI-generated summaries to your inbox.
