You are helping me build the following AI agent workflow.

## Goal
Daily Podcast Summary: Fetches daily top podcasts in your chosen genre, summarizes each episode, and emails the digest with direct links.

## Specification
- What it does: Receive your daily top podcasts in your chosen genre with concise summaries and direct links delivered straight to your inbox. This workflow automatically fetches new episodes, summarizes their content using advanced AI, and sends you a formatted digest so you never miss an update.
- Trigger: On a schedule (Scheduled · daily)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - Taddy API: Fetch top podcasts by genre
  - OpenAI: Summarize podcast content
  - Gmail: Send formatted email with summaries

## Known pitfalls, handle each one explicitly in your implementation
1. The Taddy API may return empty or malformed JSON for niche genres so add robust error handling and fallback logic.
2. OpenAI token limits can truncate long podcast transcripts so implement a chunking strategy before sending to the LLM.
3. Gmail API scopes must include full mail access so verify OAuth permissions are correctly configured in the service account.

## Reference implementation
https://n8n.io/workflows/2433 (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-podcast-summary/ via usecasesforagents.com