姚金龙的AI工厂

姚金龙的AI工厂 AGI Systems • Automation • Intelligent Delivery

Premium engineering studio focused on AI-native systems, automation pipelines, and product-grade delivery for high-impact workflows.

Factory Uptime 99.98%

Active Build Tracks 12 Pipelines

Execution Mode Local + Cloud Hybrid

AGI Model Factory

本地 AI 模型全链路运营平台

覆盖训练、产物管理、评估与部署的完整 AI 工作流系统。

Training

Artifact

Evaluation

Deployment

Training Center

统一训练任务编排与资源管理。

ACTIVE

Artifacts Center

模型产物追踪、版本管理与审计。

READY

Evaluations

自动评估、基准对比与质量门禁。

RUNNING

Deployments

发布策略、灰度通道与回滚保护。

STANDBY

Datasets

数据集生命周期与质量追踪管理。

SYNCED

Templates

工作流模板化复用，加速交付效率。

AVAILABLE

SYSTEM STATUS ONLINE

TrainingACTIVE

ArtifactsREADY

EvaluationRUNNING

DeploymentSTANDBY

version: v1.0.0

Builder Behind The Factory

I design and ship practical AI systems with production-minded architecture. My focus is turning model capability into stable products with strong observability, clean interfaces, and reliable automation.

I work across full-stack engineering, workflow orchestration, and AI integration. The goal is simple: build systems that look sharp, run smoothly, and solve real problems.

Full-Stack Engineering AI Integration Automation Systems Product Delivery

Featured Systems

P01 Flagship

AGI Model Factory

Comprehensive model lifecycle system for training, evaluation, release governance, and deployment automation.

Model Ops Platform Pipeline Automation

TypeScript Node.js React AI/ML

View on GitHub

P02 Lab System

AI Workbench

Interactive experimentation environment for datasets, model runs, and visual analytics with reproducible workflows.

Experiment Console Visual Analytics

Python FastAPI Vue.js Data Science

View Project

P03 Automation Stack

OpenClaw Skills

Curated automation skills for robust AI assistant execution, including safeguards, orchestration, and delivery templates.

Task Orchestration Guarded Execution

JavaScript Automation API Integration Tooling

Explore Skills

Get In Touch

Drop a command and I will respond with a practical execution path.

You can also reach me via GitHub for collaboration on AGI and automation systems.