Topic
30 articles
What changes when software, not a person, decides to send the message: agents, MCP, human-in-the-loop approvals, and on-device models.

What Siri AI means for your email, SMS, and push
Siri AI shipped with iOS 27 and changes what happens to a message after it's delivered. It reads urgent notifications aloud, searches Apple Mail and Messages, can delete or unsubscribe from your email on request, and will soon answer "where's my order?" through apps. Here's what each change means for your email, SMS, and push, and what to do now.

Catch broken lifecycle journeys with synthetic users and AI
Paste one prompt into a coding agent and get a local test of your onboarding journey: synthetic users, real timing, and every send explained. Catch stale reminders before your customers do.

Test Courier emails end to end with your AI agent
Give your coding agent an AgentMail inbox, and it can test your Courier emails the way a user would: send the change, check what arrives, review how it renders, and fix what it finds before the change reaches Production.

Let your agent check every email before it ships
Courier Device Preview gives your coding agent real screenshots from Outlook, Gmail, and Apple Mail. Here's the prompt and workflow to have it check every email, fix the draft, and check again before you publish.

Courier vs Customer.io: 2026 customer messaging comparison
Courier and Customer.io both send across email, push, SMS, and in-app, but they are not priced or built the same way. Courier bills by the send, puts journeys, experiments, broadcasts, an in-app inbox, preferences, and 50+ delivery providers on one platform, and exposes all of it through an API, a CLI, and an MCP server. Customer.io bills by the number of profiles in your database and is built around marketing campaigns. This comparison covers pricing, journeys, channels, in-app messaging, localization, and preferences, with every competitor figure taken from Customer.io's own pricing page and docs.

Customer messaging tools that don't need engineers
Most companies run two systems: a marketing tool for campaigns, and something else for product notifications. Here are nine tools product and growth teams can run without engineering, what still needs a developer, and what each one costs.

Courier Skills: teach your AI agent to build with Courier
Courier Skills is a free, open-source knowledge base that teaches your AI coding agent how to build and debug notifications with Courier: the right primitive for each use case, the exact payload shapes, and the mistakes that produce unhelpful errors. The rebuilt version is smaller, leads every reference with the failure modes, and installs on any agent that reads skills with one command: `npx skills add trycourier/courier-skills`.

How Apple's on-device AI works, and what it changes for your users
Apple's 2026 on-device models (AFM 3) are good enough to read, rank, and summarize everything that lands on your phone, locally and for free. Here's how they actually work, in plain terms, and how a model that reads every message before your users do changes what you should send.

You can build anything now. That's exactly why you shouldn't build this.
AI made building software cheap, so the temptation is to build everything. But owning infrastructure is a permanent draw on your scarcest resource, attention. The value lives at two ends, the systems everything runs on and the product only you can make; the move is to build less, buy the opinionated platform, and let an agent operate it.