You are helping me build the following AI agent workflow.

## Goal
Geocoding for Logistics with Open Route API: Reads addresses from a Google Sheet, queries the OpenRouteService API for GPS coordinates and neighborhood details.

## Specification
- What it does: Turn your Google Sheet addresses into precise GPS coordinates and neighborhood details instantly. This workflow reads each address from your sheet, queries the OpenRouteService API for longitude, latitude, and local context, then writes the results back to your file for immediate logistics planning.
- Trigger: Run manually (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: under an hour
- Tools/services involved:
  - Google Sheets: Store and update address data
  - HTTP Request: Query OpenRouteService API for geocoding

## Known pitfalls, handle each one explicitly in your implementation
1. Partial address matches can return inaccurate locations so always verify the confidence score in the API response before writing data.
2. Google Sheets API quotas are low for bulk updates so batch your writes or use the sheet update node carefully to prevent throttling.

## Reference implementation
https://n8n.io/workflows/4593 (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/geocoding-for-logistics-with-open-route-api/ via usecasesforagents.com