Lift 4: From Your Workspace to the World

Where We're Starting

You've built something real. Over the last three runs, your Avalanche Field Guide went from a chat prototype to a live-data application backed by persistent context. Your AI coding assistant knows your project. Your team has been iterating, adding features, and saving and syncing every step of the way.

But here's the thing: right now, your Field Guide only works inside your workspace. If you close the browser, nobody else can see it. You built it for backcountry skiers — but no backcountry skier can use it yet.

This lift fixes that.

What You'll Learn

By the end of this lift, you'll understand what it takes to move your Field Guide from a workspace project to a live, shareable application — and you'll be ready to make it happen in your final sprint:

• What "deployment" means and why your app needs to live somewhere permanent
• How to go live using tools that are already set up in your workspace
• The full journey you've taken — from chat to code to context to deployed
• What to watch for as you keep building with AI after today

Sections

1. Your App Deserves an Audience — Why your Field Guide needs to live somewhere beyond your workspace
2. Going Live — Deployment is easier than you think — your tools are ready
3. What You Built and What Comes Next — Celebrate the journey, know the risks, and keep going

By the End of This Lift

• You understand why deployment matters and what it means to go live
• You've verified your Field Guide is ready for deployment
• You have a game plan for your final sprint
• You know the risks of AI-generated code and what to watch for going forward
• You can see the full journey: chat → codebase → context → deployed application