๐ง๐ต๐ฒ $๐ฌ ๐๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ ๐ฆ๐๐ฎ๐ฐ๐ธ (๐ฎ๐ฌ๐ฎ๐ฒ)
AI is expensive. Model APIs and GPU bills add up. Many build with pricey tools before they know the problem.
You learn and launch AI systems with a $0 stack. $0 is not magic. You pay for hardware and power. But for prototypes and MVPs, a free ecosystem exists.
Real AI systems have layers:
- Frontend: where users click.
- Backend: where logic lives.
- Orchestration: where tasks move.
- LLM: where models run.
- Coding Agent: where you write code faster.
- Data: where memory stays.
- Deployment: where the system lives.
The best architecture is easy to replace and monitor. You do not need a big budget to start. Use local models and open source tools.
This gives you three things:
- Control: you see the stack.
- Independence: no vendor lock-in.
- Pragmatism: pay only when it makes sense.
Avoid paying before you understand the build.
Free tool suggestions:
- Frontend: Next.js and Tailwind CSS.
- Backend: FastAPI or NestJS.
- Orchestration: Hexabot or n8n.
- LLM: Ollama or vLLM.
- Coding: OpenCode or Aider.
- Data: PostgreSQL and pgvector.
- Deployment: Docker and NGINX.
Pick one tool per layer. Build one vertical slice. Prove the system works before the bill arrives.
Source: https://dev.to/marrouchi/the-0-ai-achitecture-stack-2026-3m4n