You are helping me build the following AI agent workflow.

## Goal
Stock News Alerts: Polls stock news every 15 minutes, summarizes articles via LLM, and sends real-time alerts to Telegram while logging them in Google Sheets.

## Specification
- What it does: Get instant stock news updates delivered directly to your Telegram chat every 15 minutes with concise summaries that highlight only the latest changes. This workflow automatically logs each alert in Google Sheets so you can track market movements without missing a beat.
- Trigger: On a schedule (Scheduled · every 15 minutes)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration platform
  - Google Sheets: Storing alerts and filtering duplicates
  - Jina AI: Extracting main body text from URLs
  - OpenRouter Chat Model: Summarizing article content via LLM
  - Telegram: Sending real-time notifications

## Known pitfalls, handle each one explicitly in your implementation
1. Jina AI requests can fail on paywalled content so add error handling to skip inaccessible URLs gracefully.
2. Telegram message length limits exist so truncate or summarize long outputs to avoid API rejection errors.

## Reference implementation
https://n8n.io/workflows/5712 (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-stock-news-alerts/ via usecasesforagents.com