Lesson 4: From Your Workspace to the World¶
Where We're Starting¶
You've built something real. Over the last three challenges, your app 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 app only works inside your workspace. If you close the browser, nobody else can see it. You built it for real users, but no real user can access it yet.
This lesson fixes that.
After Challenge 3, your app has real data and a context file that keeps AI on track. Check in on your growth between these two levels:
- Dabbler. You've tried AI tools out of curiosity, but AI isn't part of how you work day to day.
- Doer. You use AI regularly to get things done. You can write effective prompts, build with AI assistance, and troubleshoot when things go sideways.
Your slider value moves your avatar on the progress board. Be honest about where you feel right now.
What You'll Learn¶
By the end of this lesson, 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¶
- Your App Deserves an Audience - Why your app needs to live somewhere beyond your workspace
- Going Live - Deployment is easier than you think - your tools are ready
- What You Built and What Comes Next - Celebrate the journey, know the risks, and keep going
By the End of This Lesson¶
- You understand why deployment matters and what it means to go live
- You've verified your app 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