Part 6: Deploy Your AI Twin to Production

This is it. The finale. Let's ship your twin to the cloud.

Docker It Up

Create Dockerfile:

FROM python:3.10-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

EXPOSE 8000

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Build and run:

docker build -t llm-twin .
docker run -p 8000:8000 llm-twin

Deploy to Railway (Free Tier!)

  1. Push code to GitHub
  2. Go to railway.app
  3. "New Project" → "Deploy from GitHub"
  4. Select your repo
  5. Railway detects Python, builds, deploys

Cost: $0 for first 500 hours/month

You Just Built...

What you have now:

  • ✅ AI that writes like you
  • ✅ Trained on your actual writing
  • ✅ API anyone can call
  • ✅ Deployed to the cloud
  • ✅ Costs $5/month to run

What companies charge for this:

  • Jasper AI: $40/month
  • Copy.ai: $49/month
  • Custom AI writing: $200/month

You built it for free and you OWN it.

What's Next?

Ideas for improvement:

  • Add authentication (API keys)
  • Fine-tune on more data
  • Add RAG for knowledge
  • Create web UI
  • Multi-model routing

Series Complete!

You went from zero to deployed LLM in 6 weeks.

That's a $200 bootcamp. You did it for free.

Welcome to the future.

Series Complete: 6 of 6 ✓ GitHub: Full code MIT licensed Discord: Share your twins!