Writing by Yaohong
15 Jun 2026
The Enterprise Development Grant (EDG), explained
A plain-English guide to the Enterprise Development Grant: what it funds, who's eligible, the support levels, how it differs from the PSG, and the move to EDGE in 2026.
23 May 2026
The Productivity Solutions Grant (PSG), explained
A plain-English guide to the Productivity Solutions Grant: what it funds, who's eligible, the 50% support level and cap, how to claim, and the move to EDGE in 2026.
7 Apr 2026
How to keep a data warehouse from sprawling
A warehouse rots from accretion, not size. The structure and ownership that keep it trustworthy: deliberate layers, one definition per metric, and aggressive deprecation.
28 Jan 2026
GPT vs Claude: choosing the right AI model for the job
There is no single best AI model, only the right one for a given task. How to match model to job, why bigger isn't always better, and why you shouldn't marry one provider.
5 Jan 2026
What good instrumentation actually looks like
More dashboards is not more visibility. Good instrumentation tracks the events that answer real operational questions and alerts on the failures users actually feel — and ignores the rest.
13 Dec 2025
Data warehouse vs data lake: which does your business need?
Most businesses reach for a data lake when a warehouse, or less, is what they need. What each one is, and how to tell which the business actually requires.
28 Oct 2025
What it takes to run AI agents in production
A demo agent only has to look right once. A production agent has to be safe every time it acts. The guardrails that close the gap: bounded scope, least privilege, checkpoints, and observability.
5 Oct 2025
Single source of truth: what it really takes
A single source of truth isn't a database you buy. It's the discipline of writing down what's true and keeping it that way, and AI is making it unavoidable.
20 Aug 2025
Getting your data AI-ready
Most AI ambitions run aground on the data, not the model. What 'AI-ready' really means: structure, movement, and a version of the truth you can trust.
5 Jul 2025
Why AI projects fail before they reach production
The demo is the easy part. Most AI initiatives stall in the move to production, on reliability, engineering, and oversight, not on the model itself.
12 Jun 2025
How to use AI in your business: start where being wrong is cheap
The most visible AI project is the worst place to begin. Start with a task where being wrong is cheap and the result is verifiable, then escalate from there.
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