You are helping me build the following AI agent workflow.

## Goal
Daily Weather Forecast: Daily at 7:50 AM, fetches a five-day forecast from OpenWeatherMap and sends a formatted Telegram message with hourly predictions.

## Specification
- What it does: Get a personalized five-day weather forecast delivered to your Telegram every morning at 7:50 AM. You receive formatted messages with hourly predictions and smart recommendations tailored to help you plan your day.
- Trigger: On a schedule (Scheduled · daily 7:50 AM)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - OpenWeatherMap: Fetching weather data
  - Telegram: Sending formatted messages
  - Code: Processing and formatting data

## Known pitfalls, handle each one explicitly in your implementation
1. API rate limits can block the run so you must implement error handling with exponential backoff.
2. Telegram message length restrictions may truncate long forecasts so you should split messages or limit character counts.
3. Invalid API keys will cause silent failures so verify credentials in a test environment before deploying.
4. Timezone mismatches can confuse users so ensure all timestamps are converted to the recipient's local time.

## Reference implementation
https://n8n.io/workflows/4608 (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/daily-weather-forecast-bot/ via usecasesforagents.com