You are helping me build the following AI agent workflow.

## Goal
Query Trello Board With Natural Language: Ask natural language questions about your Trello board to get instant summaries, overdue items, or status updates without manual navigation.

## Specification
- What it does: Ask natural language questions about your Trello board to instantly receive summaries, identify overdue items, and check status updates without manual navigation. This workflow connects directly to your board via API and uses an AI model to provide quick insights on your tasks.
- Trigger: Run manually (Manual · on demand)
- Autonomy: You stay in control
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Trello: Retrieve board lists and cards
  - OpenAI Chat Model: Process natural language queries against board data
  - n8n: Orchestrate the workflow automation

## Known pitfalls, handle each one explicitly in your implementation
1. The context window can fill up quickly with large boards so you should truncate long card descriptions before sending them to the LLM to prevent token overflow errors.
2. Sensitive information might be embedded in card comments or descriptions so ensure your system prompt explicitly instructs the model to redact personal data.
3. Due date formats vary across Trello cards so standardize all dates to ISO 8601 format in n8n before passing them to the LLM for accurate time-based reasoning.

## Reference implementation
https://n8n.io/workflows/7618 (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/query-trello-board-with-natural-language/ via usecasesforagents.com