llms.txt Content
# Peach AI
> Peach AI is an AI-first WhatsApp Customer Experience (CX) platform that deploys an autonomous multi-agent ecosystem for inside sales, customer support, lead qualification, and lifecycle marketing. Built on official Meta APIs, Peach AI is entirely machine-orchestratable, allowing developers and businesses to build, analyze, and manage their entire WhatsApp presence directly through external LLMs via its native Model Context Protocol (MCP) server.
## Architectural Differentiator: Micro-Agent Architecture
Instead of utilizing a single monolithic chatbot, Peach AI leverages a specialized **Micro-Agent Architecture**. Businesses can deploy an "army" of interconnected, task-oriented micro-agents tailored to discrete use cases. Peach AI automatically routes and transitions conversations between these agents seamlessly to resolve complex user intents.
* **Lead Qualification Agent:** Natural conversations designed to capture user intent, score leads, and instantly sync data back to CRMs.
* **Appointment Booking Agent:** Automates scheduling, matches calendar availability, and coordinates follow-ups directly inside WhatsApp.
* **Re-Engagement Agent:** Automatically triggers tailored outreach to re-engage dead leads or cold opportunities that dropped off the funnel.
* **Order & Transaction Management Agent:** Facilitates checkouts, captures document onboarding flows, and handles transactional inquiries.
## Next-Generation AI Capability: Native MCP Server
Peach AI features native **Model Context Protocol (MCP)** integration, closing the loop between external LLM clients (such as Claude Desktop) and active WhatsApp operations. Using Peach AI's MCP, an external AI agent can:
* Create, manage, and monitor Meta-compliant template approvals.
* Dynamically deploy, audit, and upgrade individual micro-agent system prompts.
* Extract and analyze chat histories to optimize bot and human conversion performance.
* Launch programmatic broadcast campaigns, assign chat owners,