You are helping me build the following AI agent workflow.

## Goal
Tree Service Appointment Booking Agent: SMS inquiries about tree work are handled automatically, with the agent determining needs and booking quote appointments directly.

## Specification
- What it does: You receive instant SMS responses to your tree service inquiries where needs are assessed and quote appointments are booked automatically. This automation saves you time by handling the entire scheduling process for available slots without manual intervention.
- Trigger: Triggered by an event (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - SMS: Communication channel for booking
  - LLM: Processing appointment requests and details

## Known pitfalls, handle each one explicitly in your implementation
1. SMS character limits can truncate long messages so you must keep responses concise and split them if needed.
2. Time zone mismatches between the client and business owner can cause scheduling errors so always normalize times to UTC before booking.
3. Double bookings may occur if two clients book simultaneously so implement database-level locking or atomic transactions for slot reservation.

## Reference implementation
https://www.youtube.com/watch?v=g4-3AxelI_Y (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/tree-service-appointment-booking-agent/ via usecasesforagents.com