technine.io editorial
Industry commentary and articles on technology, operations, and digital adoption.
Cloud deployment platform Zeabur announced on 17 October 2026 that it will wind down, with all services ending by 31 December. What was announced, who is affected, and how to plan an exit from any hosting platform.
Explore the AI, computing infrastructure, SME support and industry technology measures in Hong Kong’s 2026 Policy Address, and what businesses should consider when planning digitalisation projects.
An AI agent’s permissions determine what it can read, change and send. A recent BBC report offers a starting point for reviewing those boundaries before deploying business automation.
Google Meet Take notes for me is adding visual screenshots. This guide explains how teams should govern screenshots, Drive access, CRM follow-up and sensitive meeting content.
OpenRouter rankings show live model usage signals, but usage is not the same as quality. This guide explains how businesses should turn ranking data into routing, testing and governance decisions.
Property management AI works only when maintenance, inspection, tenant service, contractor handoff, QS valuation and IoT/BIM data are connected.
OpenAI Presence shows AI agents moving into production customer and internal support. Learn the permissions, escalation, review and fallback workflows to define before launch.
An AI orchestration agent should begin with a work command map that defines requests, data, permissions, approvals and system write-back.
After reported U.S. export controls on Anthropic Fable 5 and Mythos 5, Hong Kong businesses should review AI vendor continuity, model fallbacks, approvals, and workflow ownership.
A practical B2B guide for corporate marketers on preparing brand content, proof points, FAQs, structured data, CRM insights and measurement for AI search visibility.
After AI+ Power 2026 in Hong Kong, this guide explains how SMEs can choose AI workflows by ROI, data readiness, risk, approvals and system integration.
HKU SPACE and Google Cloud announced an AI education collaboration on 27 May 2026. This guide explains how training providers can connect course content, enrolment, learner support, attendance, reporting and governance workflows.