Your First Capstone — Ship a Small Project

Bring it all together. Pick one of three starter projects, plan it, build it with AI, and deploy it. You are now a builder who ships.

45 min · Reviewed 2026

You Have the Tools. Now Use Them.

This is the builders capstone. You will scope a small project, build it with AI help, commit to git, and deploy it to a real URL. The rubric is not cleverness. It is shipping something that works and that you can explain.

Pick one of these three

Flashcard app: a static site that loads cards from a JSON file and quizzes you
Personal homepage: about you, projects, contact, styled deliberately
Weather dashboard: enter a city, see today's forecast using a free API

The capstone contract

Write a one-paragraph README of what the project does and why you chose it
Break the work into at least four git commits with descriptive messages
Use AI for at least half the code, but read and understand every line
Deploy to a public URL (GitHub Pages, Vercel, or Netlify — all free)
Record a 60-second video of you using your project

A scoping worksheet that actually works

Project name: ______________________ One-line description: ______________________ Minimum viable version (what works on day 1): - ______________________ - ______________________ - ______________________ Stretch goals (only if above is done): - ______________________ - ______________________ Files I expect to create: - index.html / app.py / etc. - ______________________ - ______________________ My first prompt to the AI will be: "______________________"Fill this in BEFORE you start typing. Half the projects that fail, fail because nobody wrote this down.

A typical day of the build

Open your worksheet, pick one task list
Write a prompt that names inputs and expected outputs
Review the AI draft, run it, commit when it works
Move to the next task list — resist sidequests

Deployment options at a glance

Host	Best for	Setup
GitHub Pages	Static HTML/CSS/JS	Push to repo, enable Pages
Vercel	Next.js and full-stack	Connect repo, click Deploy
Netlify	Drag-and-drop static sites	Drop your folder on their dashboard
Replit	Python, Node, everything	Write in browser, click Run

Your 60-second video

Record your screen while you use your project. Narrate what the project does, show it working, and mention one thing you learned. Upload to YouTube as unlisted. Put the link in your README. This is now a portfolio piece.

Ship it. Then ship it again. Then ship it once more.
— Every shipping engineer ever

The big idea: building something small and shipping it is a bigger lesson than reading a hundred tutorials. You now have a URL you can point to and say, I made that.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coding-first-capstone-builders

What is the main idea of "Your First Capstone — Ship a Small Project"?
1. Bring it all together. Pick one of three starter projects, plan it, build it with AI, and deploy it. You are now a builder who ships.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Your First Capstone — Ship a Small Project"?
1. project scoping
2. capstone
3. deployment
4. MVP
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. Flashcard app: a static site that loads cards from a JSON file and quizzes you
4. Use the first answer without checking it
What should a careful learner remember about "Review before you run"?
1. AI code is a first draft. Read through it, understand each line, and test on sample inputs before merging into real projects.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use the AI answer as a draft, then check it against a reliable source.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about capstone be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about capstone.
Which action would help you apply "Your First Capstone — Ship a Small Project" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Use the first answer without checking it
4. Personal homepage: about you, projects, contact, styled deliberately

← Back to interactive lesson

Tendril · Builders · AI-Assisted Coding

Your First Capstone — Ship a Small Project

Bring it all together. Pick one of three starter projects, plan it, build it with AI, and deploy it. You are now a builder who ships.

45 min · Reviewed 2026

You Have the Tools. Now Use Them.

Pick one of these three

Flashcard app: a static site that loads cards from a JSON file and quizzes you
Personal homepage: about you, projects, contact, styled deliberately
Weather dashboard: enter a city, see today's forecast using a free API

The capstone contract

Write a one-paragraph README of what the project does and why you chose it
Break the work into at least four git commits with descriptive messages
Use AI for at least half the code, but read and understand every line
Deploy to a public URL (GitHub Pages, Vercel, or Netlify — all free)
Record a 60-second video of you using your project

A scoping worksheet that actually works

Project name: ______________________ One-line description: ______________________ Minimum viable version (what works on day 1): - ______________________ - ______________________ - ______________________ Stretch goals (only if above is done): - ______________________ - ______________________ Files I expect to create: - index.html / app.py / etc. - ______________________ - ______________________ My first prompt to the AI will be: "______________________"Fill this in BEFORE you start typing. Half the projects that fail, fail because nobody wrote this down.

A typical day of the build

Open your worksheet, pick one task list
Write a prompt that names inputs and expected outputs
Review the AI draft, run it, commit when it works
Move to the next task list — resist sidequests

Deployment options at a glance

Host	Best for	Setup
GitHub Pages	Static HTML/CSS/JS	Push to repo, enable Pages
Vercel	Next.js and full-stack	Connect repo, click Deploy
Netlify	Drag-and-drop static sites	Drop your folder on their dashboard
Replit	Python, Node, everything	Write in browser, click Run

Your 60-second video

Ship it. Then ship it again. Then ship it once more.
— Every shipping engineer ever

The big idea: building something small and shipping it is a bigger lesson than reading a hundred tutorials. You now have a URL you can point to and say, I made that.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coding-first-capstone-builders

What is the main idea of "Your First Capstone — Ship a Small Project"?
1. Bring it all together. Pick one of three starter projects, plan it, build it with AI, and deploy it. You are now a builder who ships.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Your First Capstone — Ship a Small Project"?
1. project scoping
2. capstone
3. deployment
4. MVP
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. Flashcard app: a static site that loads cards from a JSON file and quizzes you
4. Use the first answer without checking it
What should a careful learner remember about "Review before you run"?
1. AI code is a first draft. Read through it, understand each line, and test on sample inputs before merging into real projects.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use the AI answer as a draft, then check it against a reliable source.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about capstone be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about capstone.
Which action would help you apply "Your First Capstone — Ship a Small Project" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Use the first answer without checking it
4. Personal homepage: about you, projects, contact, styled deliberately

← Back to interactive lesson