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AI agents build booking backends with FavCRM's headless CRM

This article details how to build a functional booking backend for AI applications using the FavCRM platform. It outlines a four-step process: creating a service, checking available slots, creating a booking, and confirming it. The system automatically handles customer record creation and persistence, eliminating the need for manual schema design or database management. The process culminates in an optional payment integration via Stripe, demonstrating a practical application of a headless CRM where AI agents manage the interface and backend operations. AI

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IMPACT Enables AI agents to directly manage backend operations like booking and customer management, reducing development overhead.

RANK_REASON Article describes a specific product's functionality and integration with AI agents.

Read on dev.to — MCP tag →

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 · OCLauncher Team ·

    Build a Booking Backend Your AI App Can Actually Use

    <p>In the previous article, we connected an agent to FavCRM and discovered its 165 typed tools.</p> <p>Now we build something real: a booking flow that takes actual bookings — services, open slots, a confirmed booking, and a customer record that persists.</p> <p>No mock arrays. E…