You are helping me build the following AI agent workflow.

## Goal
Squarespace Order Fulfillment: Automatically marks pending Squarespace orders as fulfilled based on filters, eliminating manual processing.

## Specification
- What it does: You save time by having pending Squarespace orders marked as fulfilled automatically based on your specific filters for product type or status. This process eliminates manual processing by using the Squarespace API to handle valid orders without intervention.
- Trigger: Run manually (Manual · on demand or Scheduled)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Squarespace API: Fetch pending orders and create fulfillment requests
  - HTTP Request: Retrieve order data via API since no native node exists

## Known pitfalls, handle each one explicitly in your implementation
1. Missing authentication tokens will cause immediate rejection, so ensure the bearer token is refreshed before each batch process.
2. Partial fulfillments may not be supported by all Squarespace plans, so verify plan capabilities before attempting item-level fulfillment.

## Reference implementation
https://n8n.io/workflows/3327 (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/automatic-squarespace-order-fulfillment/ via usecasesforagents.com