How to Design Safe, Useful Replies for an AI Texting Agent
Learn how to design concise, grounded and safe replies for an AI texting agent, including rules for tools, uncertainty, sensitive requests and escalation.
Guide
Sales
How to Automate Demo Follow-Up From a Sales Rep's Own iMessage Number
Build an automated demo follow-up workflow that sends from a sales rep's existing iMessage number, handles replies, updates the CRM and books the next step.
AI Agents
Choosing an LLM for a Customer-Facing Messaging Agent
Learn how to evaluate an LLM for a customer-facing messaging agent based on response quality, speed, cost, safety, tools, memory and escalation needs.
Guide
Why the Next AI Product May Not Need a Separate App
Explore when an AI product can live inside iMessage instead of requiring another app, including ideal use cases, product design, limitations and launch decisions.
AI Agents
How to Ground an iMessage AI Agent in Business Knowledge
Learn how to prepare, structure, test and maintain business knowledge so an iMessage AI agent gives accurate answers and knows when not to guess.
AI Agents
Human Handoff for iMessage AI Agents: A Practical Escalation Framework
Design a reliable human handoff for an iMessage AI agent with clear triggers, ownership, context transfer, CRM routing and safe conversation recovery.
AI Agents
No-Code iMessage AI Agents: A Launch Playbook for Business Teams
Learn how to plan, configure, test and launch a no-code iMessage AI agent using business knowledge, clear boundaries and reliable human handoff.
Guide
How an iMessage Webhook Works: Events, Retries and Reliable Reply Handling
Understand how an iMessage webhook delivers inbound messages, reactions and status events, and how to verify, deduplicate, queue and monitor every event.
Comparison
MessageBlue vs SendBlue: Architecture and Buyer-Fit Guide
Compare MessageBlue and SendBlue across AI agents, APIs, CRM workflows, number options, enterprise deployment and pricing. Choose the right iMessage platform for your use case.