# Write multilingual weather articles with Open-Meteo, Claude, and OpenAI

> Quick overview This workflow runs weekly (or manually) to generate multilingual weather-news articles from Open-Meteo forecasts, uses Anthropic Claude for analysis, verification, writing, and QA, creates a matching header image via OpenAI, and uploads CMS-ready JSON and images to S3-compatible storage with Slack alerts and run monitoring. How it works 1. Runs on a weekly schedule (Monday 06:00) or manually to start an article-generation batch. 2. Builds a per-country workload (with cities, language, and locale) and loops through each selected country. 3. Fetches 3-day city forecasts from the Open-Meteo API and aggregates them into a compact, macro-area-based dataset. 4. Uses Anthropic Claude to write a structured meteorological summary and optionally cross-checks it against a secondary source URL, posting a Slack warning if that source is unavailable. 5. Computes deterministic “ground truth” per macro-area (including windiest/wettest/hottest records), then uses Claude to write a short 

- **Domain**: `n8n-workflow-21386.n8n.io`
- **Provider**: n8n.io (https://n8n.io)
- **Kind**: workflow
- **Live-responds (last probe)**: None
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 40%

## URLs
- Agent card: https://n8n.io/workflows/21386
- Page (HTML): https://agenstry.com/agents/n8n-workflow-21386.n8n.io
- Documentation: https://n8n.io/workflows/21386