CalmPoint AI is a ready-to-deploy client intake and scheduling agent built for health & wellness businesses — clinics, med spas, and wellness studios — no developer required.

CalmPoint AI handles appointment booking, client intake, and follow-up reminders around the clock, so no inquiry goes unanswered and no booking slips through the cracks.

This is a complete, operational system, not just a prompt. It includes:

24/7 appointment booking and scheduling
Client intake (contact info, service interest, scheduling preferences)
Automated appointment reminders and follow-ups
FAQ handling for hours, location, services, and policies
Multi-channel deployment: SMS, email, and website chat

CalmPoint AI is built to be resold or relaunched under your own brand — a perfect "blueprint" for anyone looking to launch their own wellness-tech AI business without spending 40+ hours building it from scratch.

What you get:

Full source code and configuration
Setup guide for deployment
A foundation that's already proven and ready to customize or extend

Whether you're looking to flip this as your own AI business or use it to launch client work fast, CalmPoint AI gets you from zero to operational in days, not months.

CalmPoint AI — Setup Guide

Welcome to your new health & wellness intake and scheduling agent! CalmPoint AI is designed to handle incoming client inquiries, answer common questions, book appointments, and send reminders — without you lifting a finger.

🐳 Docker Quick Start (Recommended)

If you have Docker installed, this is the fastest way to get started.

Setup Environment: Copy .env.example to .env and fill in your API keys.
Run System: Execute docker compose up -d.
Webhook Mode: By default, the Docker container runs the webhook server on port 8080.
Logs: Check performance with docker compose logs -f.
Update Knowledge: Edit knowledge_base.json and run docker compose restart.

🚀 Standard Getting Started

1. Configure Your "Brain"

The agent uses a file called knowledge_base.json to understand your business. You can open this file (it's just text) and update:

Services Offered: List the treatments, classes, or services your business provides.
Scheduling Preferences: Hours of operation, booking windows, availability rules.
FAQs: Add common questions you get and the exact answers you want the AI to give (pricing, location, cancellation policy, etc.).

2. Connect Your Accounts

Your agent needs permission to send emails and texts. These are stored in the .env file. You will need:

OpenAI API Key: For the AI's reasoning.
Gmail App Password: To send/receive emails.
Twilio Credentials: To send/receive text messages.

3. Managing the Agent

Run the run.py application to see the control panel. From here, you can:

Sync Inquiries: Click this to have the agent check for new messages and respond to them.
Analyze Feedback: See how the agent is performing and view suggestions on how to improve its responses (prompts).
View Configuration: Verify your business name and booking link.

📈 Improving Performance

The agent tracks every conversation. If you notice it's giving incorrect answers or booking incorrectly, go to the Feedback Analysis in the control panel. The AI will suggest specific "Prompt Diffs" (changes to its instructions) that you can apply to make it smarter over time.

🌿 What's Not Included (By Design)

CalmPoint AI handles scheduling, intake, and client communication only. It does not provide medical or clinical advice, symptom assessments, or any health-content guidance of any kind — and is intentionally designed that way. It's built as a clean, working administrative foundation — ready for you to extend with live integrations to practice management software if you choose to build that out.

🛡️ Security & Privacy

All your API keys are stored locally on your server.
The agent only responds to clients who contact you first.
You can review every interaction in the logs/ folder.

For support or advanced customization, please contact your technical implementation team.

CalmPoint AI

Overview

Mission

Value Proposition

Target Customer

Revenue Model

KPIs

The team

Setup