You are helping me build the following AI agent workflow.

## Goal
Trello Board Summarization: Connects to a Trello board, reads all lists and cards, and uses an AI model to generate a concise status summary.

## Specification
- What it does: You get a clear, concise summary of your Trello board's status by having it read all lists and cards and map key details like task names for context. The AI then processes this information to deliver the final overview without you needing to scan every item manually.
- Trigger: Run manually (Manual · on demand)
- Autonomy: You stay in control
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Trello: Fetching board, lists, and card data
  - OpenAI Chat Model: Summarizing task descriptions

## Known pitfalls, handle each one explicitly in your implementation
1. Large boards may exceed the LLM context window so chunk the data or summarize lists individually before final aggregation.
2. Missing descriptions can lead to vague summaries so add a default placeholder text for empty fields.

## Reference implementation
https://n8n.io/workflows/7612 (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-trello-board-summarization/ via usecasesforagents.com