The Year of the AgentAI Agents Running 7x24

AI Agents
are no longer a demo — they're production capacity

ReAct + tool calling + multi-agent orchestration + private deployment. The three projects below run in real production — not slideware. They are agents YGG built, shipped, and continues to iterate on.

Real-world agents · in production

Not pitching demos — these agents are actually running

The three projects below are agents YGG itself built, shipped, and continues to operate. Click into a case for the full breakdown; some have a live demo URL.

Enterprise data / Middleware
DataWeaver

Five specialized agents cut cross-database natural-language queries from 2–3 days to 10 seconds.

NL2SQL AgentViz AgentReport AgentMonitor Agent
K-12 Education / Family AI
All-Star Training Camp

A self-hostable AI family tutor that teaches 7 school subjects in a child’s own language.

One persona per childSocratic + FeynmanQwen-Vision OCRWeChat native
Industrial automation / Water treatment
FuGuang Smart Phosphorus Control

Agent-driven industrial decisioning with human supervision, running steady in water-treatment operations.

Real-time sensingAgent decisioningActuation & feedbackHuman oversight & compliance
F&B SaaS / Coffee chain / AI-Native
NiMCoffee

One cup of coffee, eight AI agents — ordering, supply chain, and operations all orchestrated by an Agent core.

AI-Native coreButler 8-role self-evolutionHybrid Fast-Path6 scenes · 33 tools
Industrial automation / PLC programming / Engineering productivity
Siemens SCL Auto-Generation Agent

Turn "requirements + process notes + I/O table" into Siemens SCL code automatically — a 10× lever for electrical engineers.

Dual-model orchestrationThree-layer RAG knowledge baseThree-step validation chainDeterministic I/O-table parser
Meeting management / International events / Private-deployed SaaS
Meeting Management — Private-Deployed Platform

A perpetually licensed, self-hosted meeting platform — 25+ languages, 4-channel international payment, AI site builder, Copilot assistant, dual-QR check-in. Now in production.

Any BCP 47 language4-channel international paymentAI site builderAI Copilot assistant

Core Technical Capabilities

AI Agent

AI Agent

Based on ReAct/ReWOO frameworks, support tool calling, autonomous planning, memory management for complex multi-step tasks

Multimodal Understanding & Generation

Multimodal Understanding & Generation

Support text/image/voice/video multimodal I/O with GPT-4V/Gemini/Qwen-VL integration

Visual Workflow Orchestration

Visual Workflow Orchestration

Low-code drag-and-drop workflow design with conditional branching, loops, parallel execution, LangChain/LlamaIndex integration

Enterprise System Integration

Enterprise System Integration

Seamless integration with ERP/CRM/OA/Databases, RPA automation execution, API/Webhook triggers

Enterprise Application Scenarios

Intelligent Marketing AI Agent

Automate full marketing process from content creation, ad placement to performance analysis, 200%+ ROI boost

  • AI auto-generate marketing copy + posters + videos
  • Multi-platform smart placement & A/B testing
  • Real-time performance monitoring & strategy optimization
  • Customer profiling & precision recommendations
  • 50% marketing cost reduction

R&D AI Assistant

AI-assisted full software development lifecycle with code generation, review, testing, and documentation automation

  • Code completion & smart generation (85% accuracy)
  • Code review & security vulnerability detection
  • Automated unit test generation (90%+ coverage)
  • API documentation auto-generation
  • 60% R&D efficiency boost

Intelligent Customer Service Agent

Multi-turn dialogue + tool calling + ticketing system integration, 85%+ resolution rate, 70% cost reduction

  • 7x24 intelligent Q&A (96% accuracy)
  • Auto query orders/logistics/inventory
  • Smart ticket creation & assignment
  • Sentiment analysis & VIP customer identification
  • Real-time translation for 50+ languages

AI Data Analyst

Natural language database queries, auto-generate analysis reports, support business decisions

  • Natural language to SQL (Text2SQL)
  • Automated data cleaning & ETL
  • Smart chart generation & data visualization
  • Anomaly detection & alerts (92% accuracy)
  • Business insight report auto-generation

Implementation & Deployment Process

1

Scenario Research & Requirements Analysis

Deep dive into business processes, pain points, automation needs, evaluate AI Agent feasibility & ROI

2

Agent Architecture Design

Design agent capabilities (toolset), workflows, decision logic, select appropriate LLMs and frameworks

3

Development & Integration Testing

Develop AI Agents, integrate enterprise systems (API/RPA), unit testing & end-to-end testing

4

Go-live & Continuous Optimization

Gradual rollout, monitoring & alerting, user feedback collection, model iteration, capability expansion

Weekly · always fresh

Agent Weekly: catch up once a week

YGG curates the week's most worthwhile AI Agent papers, products, and engineering write-ups so you don't have to scrape ArXiv / HN daily.

Read the Weekly

Build your own AI Agent

Start with a scenario chat, then a POC. Most requirements get to a demoable agent prototype within two weeks.