Field notesfrom production.
Notes, post-mortems, and patterns from the work — kept honest about what shipped and what didn't.
AI Virtual Employee: Write the JD Before Buying Software
An AI virtual employee is not an off-the-shelf software package you just plug in. Before hiring or building one, businesses must write a concrete job description with clear boundaries.
AI Consulting for Businesses: Using the NATIF Call as a Practical Checklist
What Vietnam's National Technology Innovation Fund demands from an AI project is exactly what any business needs from consulting: clean data, measurable metrics, and production readiness.
AI Agents for Business: Why Teams Need an Orchestration Layer
Adding more bots creates more chaos unless you control data flow, cost limits, and human approvals. Here is why AI agents need an orchestration layer.
When Do Business AI Agents Need Models That Don't Generate Text?
Instead of forcing conversational models to output verbose chat and strip trailing JSON, a new class of decision engines produces zero text. For most SMEs, the real priority is knowing when simple code is enough.
Correct Output, Risky Behavior: Monitoring AI Agents at Runtime
When an AI agent responds politely and produces expected output, business leaders often assume safety. Clean text never proves a safe execution path. Here are runtime risks and pragmatic guardrails.
Google cho ứng viên dùng Gemini: tuyển dụng SME phải đổi gì?
Google dự kiến thí điểm cho ứng viên kỹ sư dùng Gemini trong một số vòng phỏng vấn. Với SME, tín hiệu quan trọng không phải “cho dùng AI hay cấm AI”, mà là biết đo năng lực dùng AI đúng cách.
Apple bị AI ép thay đổi: bài học ecosystem cho SME Việt
Apple tăng R&D kỷ lục không chỉ để bắt trend AI, mà để giữ người dùng trong ecosystem. SME Việt có thể học cách thiết kế AI gắn vào workflow, không khóa cứng một model.
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