Looking for Architecture Advice: WhatsApp AI Agent Managing monday.com data

Hi all :waving_hand:

I’m building an autonomous AI maintenance assistant that works over WhatsApp (natural conversation with a field manager) and operates on structured data in monday.com (work orders, assets, vendors). The agent needs to understand intent, manage stateful workflows (new issue → scheduling → treatment → follow-up), and safely read/write to monday via tools/MCP.

I’d love advice on:

  1. Whether this is best modeled as one main agent with a strong system prompt or a LangGraph-style workflow with nodes.

  2. Any similar agent architectures you’ve seen (MCP-based or tool-written) that are good references.

  3. Extra tips for WhatsApp-based agents (latency, message chunking, confirmations, UX pitfalls).

Thanks! :folded_hands:

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