Teams | Collaboration | Customer Service | Project Management

A conversational CRM connects your customer data, conversations, and AI so teams can manage relationships right where work already happens. The Problem: Scattered Customer Data Most teams don't work inside a traditional CRM—they're talking in chats, emails, and meetings instead. Customer information ends up scattered everywhere, making it harder to see the full picture.

Creating a custom Slack AI agent doesn't need to be a weekend project. The Slack CLI command "slack create agent" walks you through the entire setup. Pick your template, connect your LLM, and you've got a working agent responding in your workspace in minutes.

There’s a big difference between an app that just works and an app your team loves. In this episode, we'll show you how to use Block Kit to transform a basic approval app into a more user-friendly experience — all while seeing your changes in real time. Class dismissed!

Two commands. That's all it takes to create a Slack app. You pick a template, choose your language, name your app, and you're live.

Tired of deploying an entire app just to test a tiny code tweak? Let’s skip all that. In this episode, we’ll use a handy tool called ngrok to hook your local Bolt app right into Slack. You’ll learn how to update your manifest, run your app, and test it in Slack without touching your hosted version. Fewer deployment delays, zero production stress, and a much smoother way to build. Class dismissed!

Introducing Slack Code, where your team and AI agents build together, out in the open. Watch what it can do and start shipping real work in Slack. Building just became a team sport.

You installed the Slack CLI. Now what? The command slack login connects it to your workspace in seconds. No workspace yet? The Slack Developer Program gives you a free sandbox to build in.

If you’d rather spend your day building features than manually pushing updates, this episode’s for you. We’re putting your hosted Bolt app on autopilot using GitHub Actions and Railway. You’ll see how to securely stash your Slack tokens in GitHub, trigger an automated build, and deploy live app changes just by pushing code. Once it's set up, you'll never have to deploy manually again. Class dismissed!

You can install the Slack CLI with a single command. From there, you've got everything you need to build AI agents in Slack.

You built a shiny new Slack app. Now it just needs a place to call home. Building on what we made in the last episode, we’ll show you how to host your app on Railway, link it back to Slack, and set up your credentials and environment variables step-by-step. By the end, you’ll have a live Slack app ready to test right inside your workspace. Class dismissed!