AI Insights
Practical guides and case analysis for building production AI systems in Hong Kong.
2026-06-13
When People Leave, Where Does the Knowledge Go? Hong Kong's Most Expensive Hidden Cost in 2026
Staff turnover is not just a headcount problem. Business knowledge buried in emails and WhatsApp can now be made queryable — but architecture needs to be designed for it.
2026-06-19
Where Production AI Actually Lives: Why Traditional Enterprises Are the Better AI Consulting Bet
Traditional industries are AI consulting's real blue ocean. Logistics, insurance, finance, manufacturing — real problems, real budgets, missing only the people who can turn workflows into production AI systems.
2026-06-13
After AI Delivery: Why Full Source Code Handover Is the Real Ownership Test
How dependency gets designed into AI systems, and how to identify it before you sign. Four verifiable standards for true ownership.
2026-06-13
Your Documents Are Half Chinese, Half English — This Is Where Most AI Systems Fail
Cantonese queries, Traditional Chinese documents, English clauses — why benchmark accuracy doesn't hold in Hong Kong. Three verification actions before you sign.
2026-06-13
"Does My Data Go to America?" — What Hong Kong Businesses Need to Know About AI Data Flows
Consumer ChatGPT and enterprise API are two different frameworks. Data flows, contractual protections, and architecture design — make an informed decision.
2026-06-07
AI Automation for Hong Kong SMEs: Build Once, Own It
HK$300M government funding is entering the market. Why a purpose-built AI system costs less and does more than a subscription stack for SMEs with a clear workflow.
2026-06-07
AI Agents vs Fixed Pipelines: How to Choose the Right Architecture
Every vendor proposal includes "intelligent agents." Why fixed pipelines win on cost predictability, auditability, and fault isolation — plus a single whiteboard test for your use case.
2026-06-07
When an LLM Gets It Wrong: Accountability and Verification in Production AI Systems
Hallucination is a statistical property, not a bug. Retrieval grounding, confidence boundaries, evals, audit logging — and four questions to ask any AI vendor before deploying in a regulated industry.
2026-06-06
Fine-Tuning, RAG, or Prompt Engineering? A Practical Decision Guide for Enterprise Buyers
Most business use cases don't need a custom-trained model. What each approach actually does, the real cost of fine-tuning, and three questions to ask before signing.
2026-06-06
Why You Can't Hire an AI Engineer in Hong Kong — and What the Alternative Looks Like
Large institutions want senior engineers, Web3 wants research skills, and the middle is empty. Why a full-time hire is the wrong structure for most SMEs, and what project-based engagement fixes.
2026-06-05
AI News Monitoring: The Data Source Problem Nobody Quotes You On
LLM summarisation is solved. The real question is what data can legally enter your system. A factual breakdown of public sources, paid subscriptions, and social media before you receive a quote.
2026-05-01 · Service
Building Production AI Systems — LLM Applications, RAG Pipelines & Document Intelligence
Independent AI engineer based in Hong Kong. Production LLM applications, RAG pipelines, document intelligence. Project-based engagements.
2026-05-01
AI Engineer Hong Kong Freelance: What to Actually Expect in 2026
What production AI engineering actually costs, how long it takes, and how to avoid wasting time on the wrong hire.