Uploaded October 2025 | Updated September 2026, 3 weeks ago
Join the next cohort and build something like what you see in this demo: https://www.ai.science/products-services/llm-agents-bootcamp
Smart Salon is an AI appointment agent that automates booking, optimizes staff utilization, and removes the scheduling headache many salons face. Built with Zapier orchestration, Google Forms/Sheets, Gemini (LLM), and Gmail, the system captures booking requests, runs a RAG-powered call to Gemini 1.5 using salon rules and service data, and returns validated HTML recommendations for receptionists to choose from. It handles multi-service sequences (e.g., color → cut), staff availability, and business rules to avoid infeasible combos.
The demo highlights the end-to-end flow, the validation checklist Gemini uses, and the real improvement in recommended options. Key lessons: start small, break tasks into specialized agents, design robust evaluations, and focus on latency and validation. Next steps include deeper PMS/POS integration, scaling to high request volumes, and refining optimization algorithms. Smart Salon shows how agentic GenAI can tackle real NP-hard scheduling problems while keeping humans in control.
Building for: Salon management software company representative.
About the builder:
linkedin.com/in/frederickferguson
github.com/AlienNationRefugee
salonlyol.ca
#GenAI #AgenticAI #AIBootcamp #LearnAI #BuildWithAI #SalonTech #SchedulingAI #Zapier #Gemini #AIAgents #WorkflowAutomation #SmallBusinessAI
Join the next cohort and build something like what you see in this demo: https://www.ai.science/products-services/llm-agents-bootcamp
Smart Salon is an AI appointment agent that automates booking, optimizes staff utilization, and removes the scheduling headache many salons face. Built with Zapier orchestration, Google Forms/Sheets, Gemini (LLM), and Gmail, the system captures booking requests, runs a RAG-powered call to Gemini 1.5 using salon rules and service data, and returns validated HTML recommendations for receptionists to choose from. It handles multi-service sequences (e.g., color → cut), staff availability, and business rules to avoid infeasible combos.
The demo highlights the end-to-end flow, the validation checklist Gemini uses, and the real improvement in recommended options. Key lessons: start small, break tasks into specialized agents, design robust evaluations, and focus on latency and validation. Next steps include deeper PMS/POS integration, scaling to high request volumes, and refining optimization algorithms. Smart Salon shows how agentic GenAI can tackle real NP-hard scheduling problems while keeping humans in control.
Building for: Salon management software company representative.
About the builder:
linkedin.com/in/frederickferguson
github.com/AlienNationRefugee
salonlyol.ca
#GenAI #AgenticAI #AIBootcamp #LearnAI #BuildWithAI #SalonTech #SchedulingAI #Zapier #Gemini #AIAgents #WorkflowAutomation #SmallBusinessAI
