Block 1 - Anthropic Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Description Transform training prescriptions into perfectly formatted Intervals.icu workouts using AI. This workflow automatically converts free text workout descriptions into structured interval t...
@n8n/n8n-nodes-langchain.lmchatanthropic, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.set, n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Martijn Kerver.
Original n8n.io sourceTransform training prescriptions into perfectly formatted Intervals.icu workouts using AI. This workflow automatically converts free-text workout descriptions into structured interval training sessions with proper heart rate zones, pace calculations, and exercise formatting.
Running, cycling, swimming, strength training, HYROX, CrossFit, indoor rowing, virtual training (Zwift), triathlon, and more.
✅ Intelligent workout type detection
✅ Automatic RPE to HR zone conversion using athlete-specific data
✅ Proper formatting for intervals, circuits, supersets, and progressions
✅ Adds transitions between exercises/machines
✅ Calculates exercise durations and pacing
✅ Handles warmup/cooldown sections
✅ Generates unique workout IDs
For Intervals.icu (HTTP Basic Auth):
API_KEY (literally type "API_KEY")For Anthropic:
Important: The Intervals.icu API uses HTTP Basic Authentication where the username is always the literal string "API_KEY" and the password is your actual API key.
The workflow uses a sophisticated AI agent with a detailed system prompt that understands training terminology, zones, and Intervals.icu formatting requirements. It applies sport-specific rules to ensure workouts are properly structured for tracking during training sessions.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Convert training prescriptions to Intervals.icu workouts with Claude Opus AI |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Engineering, AI Chatbot |
| Author | Martijn Kerver |
| Published | 17 Oct 2025 |
Use the JSON export at /data/workflows/9822/9822.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Description Transform training prescriptions into perfectly formatted Intervals.icu workouts using AI. This workflow automatically converts free text workout descriptions into structured interval t...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.