// Case Studies

Completed Automation Projects

Every case is a real system running in production, not a proof of concept.

AI MODERATIONEducation Review Platform

AI Content Moderation System

Automation Flow

📝
Submission
🤖
AI Review
🔀
Auto-route
✅
Publish/Alert
💰
Points Settle

PROBLEM

Receiving dozens of user submissions daily. Manual review was slow, inconsistent, and moderators often missed violations.

SOLUTION

  • ✓Claude AI auto-reviews every submission: approve / reject / flag for human review
  • ✓Approved posts published instantly, rejected ones include AI feedback explaining why
  • ✓Uncertain cases pushed to Telegram — moderators approve/reject with one tap
  • ✓Points and rewards auto-distributed or clawed back, zero manual calculation
95%
Auto-processed by AI
< 10s
Review response time
0
Daily manual actions

Tech Stack

Claude AI, Telegram Bot, Supabase, Webhook

AUTO REPORTINGEducation Review Platform

Daily Operations Intelligence Report

Automation Flow

⏰
Cron Trigger
📊
Pull GA4
🗄️
Query DB
🤖
AI Analysis
📱
Push Report

PROBLEM

Founder spent 30 minutes every day manually checking Google Analytics, database, and payment dashboard to piece together daily performance.

SOLUTION

  • ✓System auto-pulls GA4 data + user funnel + revenue every evening
  • ✓AI analyzes trends, anomalies, and conversion rate changes
  • ✓Complete daily report pushed to Telegram
  • ✓Includes A/B test comparison and actionable recommendations
30 min
Saved daily
8:00 PM
Auto-push on time
100%
Data coverage

Tech Stack

GA4 API, Supabase, Claude AI, Telegram Bot, Cron Job

WEB SCRAPINGEducation Platform / Insurance Co.

Automated Data Crawler + Monitoring

Automation Flow

⏰
Weekly Cron
🕷️
Parallel Crawl
🔄
Gap Check
🗄️
Import DB
📱
Notify

PROBLEM

Needed weekly updates on 6,900+ institutions and their violation records. Manual checking was impossible. An insurance client also needed competitor product monitoring.

SOLUTION

  • ✓Auto-crawler updates 6,900+ institutions weekly
  • ✓Parallel violation record scraping (4 workers concurrent)
  • ✓Auto-compares against open-source databases to fill gaps
  • ✓Competitor monitor: detects new products and auto-notifies
  • ✓Every step sends Telegram notification on success/failure
6,900+
Institutions updated
Weekly
Fully automated
5,300+
Violations tracked

Tech Stack

Python, Parallel Processing, Supabase, Cron, Telegram

AI COMPLIANCECross-border Food & Cosmetics

AI Regulatory Compliance Engine

Automation Flow

📋
Product Input
🔍
RAG Search
🤖
L1 Screen
🔬
L2-L4 Review
📄
Report

PROBLEM

APAC manufacturers entering the US market need FDA compliance reviews. Traditional consultants charge $5,000-50,000 per engagement.

SOLUTION

  • ✓Food: 4-layer AI review chain — Initial → Re-review → Customs → FDA
  • ✓Cosmetics: 5-layer AI review — Ingredient → MoCRA → Safety → Customs → FDA
  • ✓GRAS/NDI: 4-layer notification report review
  • ✓RAG semantic search over regulatory knowledge base (685 chunks)
  • ✓10-language support with 900+ translation keys
90%
Cost reduction
< 3 min
Full review done
10
Languages

Tech Stack

Claude AI (Opus + Sonnet), pgvector RAG, OpenAI Embedding, Supabase

SOCIAL AUTOMATIONMulti-brand Social Mgmt

AI Social Media Automation Platform

Automation Flow

🎯
Brand Voice
✍️
AI Copy
🖼️
AI Image
📤
Auto Post
📈
Track

PROBLEM

Managing social media for 3 brands — writing copy, finding images, scheduling posts, tracking performance. One person couldn't keep up.

SOLUTION

  • ✓AI generates brand-voice copy automatically (multilingual)
  • ✓Gemini AI image generation / smart stock photo selection
  • ✓One-click publish to Facebook with Telegram Bot confirmation flow
  • ✓Auto-pull engagement data (30min + 24h snapshots)
  • ✓AI industry insight reports: content performance + competitor analysis
3 brands
Managed at once
80%
Copy time saved
7
Languages

Tech Stack

Claude AI, Gemini AI, Meta API, Telegram Bot, Supabase, FastAPI

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