Workout Logger and Analysis
Log workouts via form to get AI-calculated calories, muscle groups, and next-session tips saved to Sheets with Slack and email alerts.
What it does
Log your workouts via a simple form and receive AI-generated insights, calorie estimates, and personalized next-session suggestions. The system automatically structures your data into a training log in Google Sheets while sending you instant notifications via Slack and email with actionable fitness tips.
Step by step
- Configure the form submission trigger to capture exercise name, sets, reps, and weight.
- Set up a code node with strict JSON schema validation for the AI output before saving.
- Connect Google Sheets to append rows using the validated workout data fields.
- Integrate Slack and Gmail APIs to send formatted text messages upon successful logging.
Where the LLM does the work
- Prompt the Gemini model to estimate calories burned based on exercise type, duration, and user weight.
- Ask the AI to generate personalized next-session suggestions by analyzing recent workout history from Sheets.
- Have the LLM draft concise, actionable fitness tips for the notification messages.
Watch out for
Google Sheets row appending might fail silently if column headers do not match exactly so verify header alignment in the setup phase.
AI calorie estimates vary widely between models so clearly label them as approximations to manage user expectations.
Tools that fit
Google Gemini Chat Model LLM Parsing exercises and generating analysis
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Workout Logger and Analysis: Log workouts via form to get AI-calculated calories, muscle groups, and next-session tips saved to Sheets with Slack and email alerts. ## Specification - What it does: Log your workouts via a simple form and receive AI-generated insights, calorie estimates, and personalized next-session suggestions. The system automatically structures your data into a training log in Google Sheets while sending you instant notifications via Slack and email with actionable fitness tips. - Trigger: Triggered by an event (Manual · on form submission) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Google Sheets: Storing workout logs and history - Slack: Sending workout notifications - Gmail: Emailing summary and tips - Google Gemini Chat Model: Parsing exercises and generating analysis ## Known pitfalls, handle each one explicitly in your implementation 1. Google Sheets row appending might fail silently if column headers do not match exactly so verify header alignment in the setup phase. 2. AI calorie estimates vary widely between models so clearly label them as approximations to manage user expectations. ## Reference implementation https://n8n.io/workflows/13574 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/ai-workout-logger-and-analysis/ via usecasesforagents.com
Frequently asked questions
Can I use a different Spreadsheet than Google Sheets?
Yes. Google Sheets is only the example spreadsheet in this recipe. The same flow works with Airtable, Baserow and Excel. Swap the spreadsheet connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for anyone who wants this off their own plate, no team or company required.