Two developers have just launched something that could fundamentally change how small businesses handle customer messaging. Chert is positioning itself as "Twilio for iMessage," giving businesses an API to send and receive those coveted blue bubble messages at scale.
Why This Matters More Than Another Messaging Tool
Here's the thing about iMessage that most business owners miss: it's not just another messaging platform. Those blue bubbles, typing indicators, and message reactions create a fundamentally different psychological experience than SMS. When customers see a blue bubble, they expect a more personal, immediate interaction.
The team behind Chert figured this out early. They've been building iMessage-based products for a while, including an AI agent builder that reached 2,000 users. Now they're opening up the infrastructure that makes it all work.
The Technical Reality Check
Until now, if you wanted your business to send iMessage conversations, you had three options: use a Mac computer manually, hack together some unreliable workaround, or give up entirely. Chert is essentially offering the third option: a proper API that handles the complexity behind the scenes.
This isn't just about sending marketing messages (though you can do that). It's about creating automated customer service flows, appointment reminders, and support conversations that feel genuinely human because they're happening in the same interface customers use to text their friends.
What This Actually Changes for Your Business
The immediate opportunity here is customer service differentiation. When your competitor sends a bland SMS confirmation, you can send an iMessage with rich formatting, reactions, and proper threading. It's a small detail that creates a significantly more premium feeling.
We've seen this pattern before with other communication tools. Early adopters of properly implemented chat systems, email automation, or even basic SMS often gained substantial competitive advantages simply by meeting customers where they actually wanted to communicate.
“Most businesses are still treating customer messaging like it's 2010, while their customers moved to richer communication experiences years ago.”
But there's a broader strategic point: customer expectations around digital communication are constantly evolving upward. What feels premium today becomes baseline tomorrow. Getting ahead of that curve, especially in a less crowded space like iMessage automation, creates genuine competitive moats.
The practical applications extend beyond just looking more professional. Rich message formats mean you can send interactive appointment confirmations, gather feedback with reactions instead of lengthy forms, or create support flows that feel conversational rather than robotic.
What To Do About It
- 1.Evaluate your current customer messaging experience honestly. Map out every automated message your business sends. How many feel genuinely helpful versus obviously automated? Where do customers seem to drop off or disengage?
- 1.Start small with a single use case. Don't attempt to rebuild your entire communication strategy overnight. Pick one specific workflow (appointment confirmations, order updates, simple support queries) and test whether iMessage automation improves response rates or customer satisfaction.
- 1.Consider your customer demographics carefully. This matters significantly. If most of your customers use Android devices, iMessage automation won't move the needle. But if you're serving consumers with higher iPhone adoption rates, this could be transformative.
- 1.Budget for the learning curve. New communication channels require experimentation. Plan to test different message formats, timing, and interaction patterns. What works in SMS doesn't necessarily translate directly to iMessage.
- 1.Monitor the regulatory landscape. Business messaging regulations are constantly evolving. Make sure any iMessage automation complies with current privacy and communication laws in your jurisdiction.
The window for early adoption advantages in business messaging tools typically lasts 12 to 18 months. After that, everyone catches up and it becomes table stakes rather than differentiation.
https://ahrefs.com/blog/agent-a-hackathon/
Published: 2026-05-25
https://dev.to/akshatjme/how-to-choose-the-right-tech-stack-for-your-project-4cbj
Published: 2026-05-25
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