You are helping me build the following AI agent workflow.

## Goal
Weather Reports via API and LLM: Delivers daily 9 AM weather summaries via email and Slack, plus answers real-time chat questions using the Open-Meteo API.

## Specification
- What it does: Get a clear weather summary delivered to your email or Slack every day at 9 AM, plus receive instant answers to any real-time weather questions you ask via chat. This workflow pulls live data from the Open-Meteo API and uses an AI model to explain conditions naturally for both scheduled updates and on-demand inquiries.
- Trigger: On a schedule (Scheduled · daily 9:00 AM or Event · on chat message)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Open-Meteo API: Fetching weather data
  - OpenAI Chat Model: Processing natural language queries
  - Gmail: Sending email notifications
  - Slack: Posting messages to channels

## Known pitfalls, handle each one explicitly in your implementation
1. Email delivery can fail due to spam filters or invalid addresses, so add error handling that logs failures and notifies an admin via Slack instead of silently dropping the message.
2. Timezone mismatches between your server and the user's location can cause confusion in daily summaries, so explicitly convert UTC timestamps from the API to local time before formatting.

## Reference implementation
https://n8n.io/workflows/10681 (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/automated-weather-reports-via-api-and-llm/ via usecasesforagents.com