Expert articles on agentic AI, private LLMs, AI governance, and enterprise AI strategy.
An open-source MCP server giving any AI agent direct, typed access to Singapore government data — 87 tools across 30+ datasets plus live real-time feeds: ACRA, HDB, URA, SingStat, MAS, IRAS, crime, health, air quality, weather, carparks, and live dengue clusters. MIT licensed, one line to install.
A live-fire account from running a Surya + Gemma + VLM stack on a Strix Halo workstation. What breaks under concurrent burst load, why a naive watchdog kills legitimate compute, and the CPU-aware self-healing design that pays for itself the first time it doesn't.
After shipping ~280 LLM-touching components across seven systems, four architectural patterns kept recurring: conversational front-door, MCP-toolbox skill server, time-driven cron-LLM caller, and human-in-the-loop drafter. When to pick which, and why not to unify them all into one framework.
I started with the off-the-shelf agent mesh — Claude Code + OpenClaw + Hermes + Goose. I have since moved to context-built agents: my own Lyra CRM/ERP with Chief + Sales + Delivery + Finance + Governance sub-agents, two distinct Telegram bots, and a Pixel 9 companion app. Architecture diagram, residual mesh, and the honest journey.
Singapore Google Trends shows Claude rising 2.6x. Top rising queries are claude code price, claude cowork, claude skill, claude code cli. A practitioner read on what Claude Code is, what it costs in SGD, and whether SG small teams should care.
Singapore Google Trends shows nano banana ai, nano banana, and nano banana gemini all surging into breakout. A practitioner read on what Gemini's image-gen model is, how it stacks against ChatGPT image, Midjourney, and Flux, and what SG marketers can practically do with it.
openclaw ai agent (706,000% growth, breakout) and hermes ai agent (157,000% growth) are both surfacing in SG search trends. They are two open-source agents I built and run from a home office in Singapore. Honest case study of building agent infrastructure solo, what each does, and how they differ from Claude Code or Codex.
Three boxes dominate the 100GB-class local-AI workstation conversation in 2026. How they actually differ in practice, plus what is coming next from AMD, NVIDIA, and Apple.
Singapore is collapsing EDG, PSG and MRA into a single scheme called EDGE in the second half of 2026. Here is how AI projects will fit, what to do this quarter, and where the cap really lands.
Salary bands by seniority, where to source from, the interview that actually filters for SG SME context, and the org-design call most founders get wrong on the first hire.
Four patterns that show up across Singapore SME teams, why expensive vendor courses don't fix them, and a 30-day rollout plan ops managers can run using free public resources.
A self-audit framework to surface the highest-leverage AI workflow opportunity in your business — without a consultant, in five minutes, ending in one shippable sub-$500 pilot.
We run a 16-source AI news pipeline on a single AMD Ryzen AI Max+ 395 (Strix Halo). Here is the architecture, the cost math against gpt-4o-mini, and the things we did not predict.
Procurement gates, governance asks, and vendor-evaluation patterns we keep seeing in SG enterprise AI buying — what to prepare before the first meeting, and what kills deals later.
We added 12 WebMCP tools to altronis.sg so AI agents can call our site's capabilities directly instead of clicking buttons. Why we shipped during the W3C draft window, what each tool does, and what changes for SG sites that don't follow.
The day-2 trap that kills SG SME AI adoption — when ongoing token bills, optimisation, and re-training quietly outrun the productivity gain. With a worked example you can paste over your own numbers.
The 5-7 AI use cases that actually move the needle for SG manufacturing SMEs in Tuas, Senoko and Loyang — mapped to the grants that fund them. Anchored on our live Mechanical Lyra advisor.
A practitioner's read on where AI actually pays back inside Singapore boutique gyms, yoga studios and sport academies — anchored on what we surface in 5-minute Sporty Lyra advisor sessions.
Singapore's SAC just started accrediting AI Management System certifications. Changi Airport Group is the first certified. A clause-by-clause walkthrough of how Lyra's audit trail, owner-gate, and human oversight satisfy ISO/IEC 42001:2023.
The CRM + ERP I built for Altronis — designed to be driven by AI agents, not clicked by humans. Self-hosted. Deploys to your own Azure tenant in fifteen minutes. Your customer data never leaves your environment.
The personal AI stack I run on a small machine in my home office — cron jobs, free models, local Qwen on a Strix Halo, and a small team of agents that hand work to each other.
Traditional product management does not translate directly to AI. Agentic AI teams can move fast without chaos if you structure them right. Here are three plays that consistently accelerate delivery.
Data sovereignty, cost, compliance, and performance all factor into the cloud vs on-prem decision. Here is a practical framework to help business leaders choose the right AI deployment model for their organisation.
Organisations invest millions into knowledge platforms yet employees still ask colleagues on chat. Learn the design principles that fix findability, governance, and adoption so your platform becomes the true source of truth.
