AI

Introducing the AI Node in Courier Journeys

The AI node is a new step inside Courier Journeys that classifies users, branches on the result, and writes per-channel copy from a single prompt. Here's what it does, how to set one up, and when it's worth using over a regular condition node.

AI Tools for Product Managers: The Modern PM Stack

The modern PM stack runs on AI at every step: Cursor and Claude Code for build, Pencil and Claude Design for prototyping, Courier for notifications and agent communication, Segment for routing product events and engagement data, PostHog for analytics and LLM evals, and a knowledge system like Notion for shared memory across humans and agents.

The AI Node in Journeys: Smarter Branching, Personalized Messages, and Live Enrichment

Courier Journeys now includes an AI node that you can drop into any customer journey. Use it to branch on logic too nuanced for if/then, generate message copy shaped by each user's context, enrich profiles with live data mid-flow, and batch activity into recurring digests. Existing deterministic journeys keep working. The AI node is additive, not a replacement, and it lets you unlock the kind of personalization that used to require a dedicated ML team. Here's what it does and how to use it.

Using Claude Design, Claude Code, and Courier AI to Create a Multichannel Onboarding Series in 30 Minutes

A walkthrough of building a four-part multichannel onboarding series (email, in-app inbox, mobile push, and Slack) in 30 minutes using Claude Code and Cowork to orchestrate, Claude Design to mock each channel, the courier-template-builder skill to translate mocks into Elemental JSON, the Courier MCP to publish templates, and the Courier CLI to test sends. Covers the strategy behind the sequence and recommendations for anyone doing the same.

Throttling notifications across product, transactional, and marketing streams

A notification throttle that drops every event over a limit works fine for marketing nurtures and fails for product notifications, because product events carry context users actually need. The fix is pairing throttling with auto-batch: overflow events feed a batch node that rolls them up into a single digest, optionally rewritten by an AI node that prioritizes and summarizes the contents. This guide covers per-stream throttle setups for transactional, product, and marketing flows, and how the Courier Journeys AI node and fetch-data node fit into the pattern.

How to Send Notifications from an AI Agent with Courier's MCP Server

AI agents handle support tickets, monitor pipelines, run onboarding flows, and sync CRM data. When they do, someone needs to know what happened. Courier's MCP server gives agents direct access to the full notification API: send across email, push, SMS, Slack, and in-app. Check user preferences before sending. Trigger batch and digest Journeys so high-volume agents don't spam users. This guide covers MCP server setup, CLI tooling, Courier Skills for your IDE, and five real-world patterns with starter prompts.

Build with AI: let your agent handle notifications end to end

Courier's Build with AI toolkit gives coding agents direct access to your notification infrastructure. Four integration points, one goal: let your agent send messages, debug deliveries, manage users, and follow notification best practices without context-switching. Works with Claude Code, Cursor, and any agent that can run shell commands or call MCP tools.

How to Use Claude Code on Mobile to Design, Test, and Ship Multichannel Notifications

A walkthrough of using Claude Code's mobile app with Courier's MCP server and CLI to design, test, and ship a multichannel product announcement from a phone. Covers the full workflow: drafting the content outline, creating notification templates using Courier's elemental format, building channel-specific variants for email, Slack, push, and SMS, customizing brand styling through the API, iterating on design with test sends, getting team approval, and publishing with custom routing rules. The whole thing took a couple hours, mostly cold start and design iterations.

Debug Delivery Issues in Your AI Editor with MCP

Between quarterly audits, delivery issues don’t wait. When emails fail or alerts fire, you need answers fast. Courier’s MCP server lets you debug notifications conversationally—find the message, trace its timeline, and inspect user data in minutes. Instead of jumping between dashboards, your AI agent pulls everything on demand, surfaces root causes, and even automates investigations. The result: faster fixes, less guesswork, and a smarter, always-on reliability workflow.