You are helping me build the following AI agent workflow.

## Goal
SEO Keyword Categorization & Content Strategy: Ingests raw keywords from Airtable, clusters them by intent, and generates a hub-and-spoke content strategy with ready-to-use titles.

## Specification
- What it does: You transform raw keyword data from Airtable into a strategic hub-and-spoke content plan with ready-to-use titles. This process automatically clusters your terms by intent using semantic analysis to organize them into actionable buckets like Quick Wins or Authority Builders. You get a complete, structured content architecture that turns unstructured research into an immediate execution roadmap.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow automation orchestration
  - OpenAI Chat Model: Keyword intent analysis and content generation
  - Airtable: Storing categorized keywords and content strategy data

## Known pitfalls, handle each one explicitly in your implementation
1. Large keyword lists can exceed token limits so split the input batch size before sending it to the API.
2. Inconsistent keyword formatting leads to poor clustering so add a preprocessing step to normalize casing and trim whitespace.
3. Airtable field type mismatches can break the update node so ensure the output JSON keys match the target column names exactly.

## Reference implementation
https://n8n.io/workflows/8721 (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/seo-keyword-categorization-content-strategy/ via usecasesforagents.com