You are helping me build the following AI agent workflow.

## Goal
Compare Car Ownership Costs: Get a clear comparison of maintenance, depreciation, and insurance for your top two car choices.

## Specification
- What it does: Get a clear comparison of maintenance, depreciation, and insurance for your top two car choices.
- Trigger: Run manually (Manual · on demand)
- Autonomy: You stay in control
- Expected setup effort: under an hour
- Tools/services involved:


## Known pitfalls, handle each one explicitly in your implementation
1. Numbers for maintenance, depreciation, fuel and insurance are rough estimates; they shift with year, mileage, region, driving record, and trim, so use the comparison as a starting point and verify with your insurer and dealer quotes.
2. The agent can confidently quote a price or rule that does not match your specific vehicle or zip code, so double-check anything binding before you sign or finance.

## Reference implementation
No reference implementation is linked for this recipe. Build the pattern from the specification above.

## 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/compare-car-ownership-costs/ via usecasesforagents.com