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Notes from Go Digit
65 articles · 10 per page
What is an AI agent, and where should an organisation start?
How AI agents differ from chatbots, which tasks suit them and how to start safely.
AI workflow or AI agent? Who chooses the next step
Workflows follow steps defined in advance, while agents let the model choose the next step. How to pick between them.
Context engineering: what your AI sees decides the answer
Context engineering covers everything an AI sees when it answers, and how to choose, order and test that material.
Thailand AI market 2026: why the numbers disagree
Why Thailand AI market estimates differ, and how to read a market figure before using it.
When AI acts on its own, where should people stay in the process?
Sort AI work by impact, then decide which steps need a person to approve before they proceed.
AI governance: the rules Thai organisations should prepare for
What AI governance covers, how to tier AI risk and what to prepare while Thailand’s framework is still developing.
From pilot to production: why most AI projects stall
The three blockers that keep AI projects in the demo stage, and how a pilot gets past them.
The AI usage pyramid: a practical framework for adoption
A three-tier model for growing AI adoption without losing control of cost or risk.
Why most enterprises can't answer what they spend on AI
What it takes to see, attribute and govern AI spend across an organisation.
n8n vs custom code: choosing your automation layer
When a workflow platform earns its place, and when custom code still does.
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