AUTUS v7.0 - Full Production System

2📥 Auto Task Capture + n8n Integration

6 Apps Connected

🔗 Connected Integrations (n8n Webhooks)

📋 n8n Workflow JSON (실제 코드)

// n8n Gmail Trigger → Supabase Insert
{
  "nodes": [
    {"type": "n8n-nodes-base.gmailTrigger",
     "parameters": {"events": ["newEmail"]}},
    {"type": "n8n-nodes-base.supabase",
     "parameters": {
       "action": "insert",
       "table": "tasks",
       "values": "{{$json.subject}}"
     }}
  ]
}
                

📥 Captured Tasks (Real-time)

3🤖 AI Suggestions + Gemini API

3 Recommendations

📊 Impact Summary

+42%

Potential Efficiency Gain

Time Saved+5.2h/week

Error Reduction-38%

Cost Savings$850/mo

💻 Gemini Prompt (실제 코드)

async function getSuggestions(tasks) {
  const prompt = `
    Tasks: ${JSON.stringify(tasks)}
    
    Analyze and suggest:
    1. Merge (similar tasks)
    2. Eliminate (100% automated)
    3. Automate (predictable patterns)
    
    Return: confidence %, reason,
    simulation (Time/Error/Cost),
    3 alternatives
  `;
  
  return gemini.generateContent(prompt);
}
                

4📊 Outcome Dashboard + Supabase Analytics

Real-time Tracking

✅ Success Rate

94.2%

↑ 2.1% this week

⏱️ Time Saved

127h

↑ 18h this month

⚠️ Error Rate

1.8%

↓ 0.5% improved

💰 Cost Saved

$4,280

↑ $620 this month

📈 Automation Progress (Supabase Query)

🎯 Task Distribution

5🔄 Feedback Loop + LoRA Fine-tuning

Personalization Active

✅ Rate AI Accuracy (👍👎)

🧠 LoRA Learning Progress

💻 LoRA Training Code

# Hugging Face LoRA Fine-tuning
from peft import LoraConfig

config = LoraConfig(
    r=16,
    lora_alpha=32,
    target_modules=["q_proj", "v_proj"],
    lora_dropout=0.05
)

# Per-user model training
trainer.train(user_feedback_data)
                

+🏢 ERP Integration PoC

4 Systems Connected