Law Wen Feng | Cloud and AI Architect
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AI Agents

Frontier Tuning: Microsoft's Enterprise RL Framework That Teaches AI Your Business — And It Works

Microsoft's Frontier Tuning applies reinforcement learning inside your compliance boundary to teach AI agents how your business actually works. What it is, what the evidence says, and what's real today.

Aug 24, 2026 · 8 min read
AI Agents

Microsoft Scout: The OpenClaw-Based Always-On Enterprise Agent That Changes Everything

Microsoft Scout — practical architecture analysis and enterprise guidance for Azure and AI platform teams.

Aug 23, 2026 · 8 min read
AI Agents

AI Agent Governance: Bounded Autonomy, Governance Agents, and the Enterprise Production Scaling Gap

MIT reports ~95% of AI pilots fail to deliver value, and Gartner predicts 40% of agentic AI projects will be canceled by 2027. The gap isn't model quality — it's governance. Here are the bounded autonomy patterns that work.

Aug 22, 2026 · 9 min read
Azure AI

Azure AI Foundry Model Catalog: Choosing From 10K+ Models for Enterprise Workloads

Microsoft's Foundry catalog lists 10,000+ models. Here's the decision framework I use to cut it down to the right one — with real pricing, deployment types, and a Malaysia West reality check.

Aug 16, 2026 · 8 min read
Azure

Azure AI Foundry as the Unified Control Plane: Deploying, Evaluating, and Governing AI Models at Scale

Practical guidance on Azure AI Foundry as the Unified Control Plane for enterprise architecture, governance, delivery risk, and operational planning.

Jun 3, 2026 · 8 min read
LLM Models

LLM Deployment on Azure: Azure OpenAI vs. Self-Hosted Open-Source Models — A Cost and Architecture Decision Framework

A practical decision framework for Azure OpenAI versus self-hosted LLMs on Azure, including cost, security, control, and GPU operations.

May 8, 2026 · 9 min read
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© 2026 Law Wen Feng | Cloud and AI Architect · Having fun with Cloud and AI Agents.
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