Building a Production AI Booking Agent: Architecture Notes from a Retell + n8n + GoHighLevel Build
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I built an AI agent that answers inbound leads by voice and SMS, qualifies them, checks live calendar availability across two locations, and books the appointment. No human step anywhere in the flow. Here is how it is architected, and the decisions that made it reliable. The architecture Three layers, with a hard boundary between them: Retell AI handles conversation - voice and SMS, prompt design, qualification logic n8n orchestrates - slot lookup, availability filtering, booking calls, error…
1Key Takeaways
- I built an AI agent that answers inbound leads by voice and SMS, qualifies them, checks live calendar availability across two locations, and books the appointment.
- Here is how it is architected, and the decisions that made it reliable.
- The architecture Three layers, with a hard boundary between them: Retell AI handles conversation - voice and SMS, prompt design, qualification logic n8n orchestrates - slot lookup, availability filtering, booking calls, error….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i built an AI agent that answers inbound leads by voice and SMS, qualifies them, checks live calendar availability across two locations, and books the appointment.
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