I Built an AI Platform That Costs $0 and Makes $10k/month
****# I Built an AI Platform That Costs $0 and Makes $10k/month I spent $2,000/month on OpenAI, Claude, and GPU instances. Now I spend $0 and make $10,000/month selling this platform. Here's how. The Problem
****# I Built an AI Platform That Costs $0 and Makes $10k/month
I spent $2,000/month on OpenAI, Claude, and GPU instances.
Now I spend $0 and make $10,000/month selling this platform.
Here's how.
The Problem: AI Is Expensive
- GPT-4 API: $0.03 per 1K tokens = $500-1000/month per company
- Claude: $0.003 per 1K tokens = $50-200/month per company
- Self-hosted GPU: $500-2000/month for inference
- Total: $1k-2k/month per customer
And it's vendor lock-in. You're stuck with OpenAI.
The Solution: Ollama + DeerFlow + Custom Skills
I built an AI platform with:
- Ollama: Free. Local. Offline. $0/month.
- DeerFlow: Open-source AI agent framework
-
3 Revenue-Generating Skills:
- 🌍 Translator - Multilingual translation with confidence scores
- 📧 Email Analyzer - Sentiment, urgency detection, smart routing
- 🔍 Code Review - Security, performance, style checks
Total cost: $0
Deployment: Docker + Kubernetes ready
How It Works (The Tech)
bash
# Deploy in 30 seconds
docker compose -f docker-compose-dev.yaml up -d
# Test the API
curl http://localhost:8001/api/skill/translator
# Scale to 1000+ users
kubectl apply -f k8s/deer-flow.yaml
📰 Read the original article on Dev.to AI
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.