Field notes on growth‑tech.
Practical thinking on AI, engineering and digital transformation from the Siri9 Lab.
Building a Data Platform
There is a moment in every growing business when the spreadsheet becomes the risk. Not because spreadsheets are bad — they are extraordinary tools — but because the business has outgrown what any spreadsheet can safely handle.
Machine Learning Fundamentals Every Business Leader Should Know
Machine learning is the backbone of modern AI. Understanding its core concepts helps business leaders make informed decisions about technology investments.
Why AI Agents Are Transforming Business
AI agents are autonomous software systems fundamentally changing how businesses operate — from automating workflows to enhancing customer experiences at scale.
Price Architecture: Moving Beyond Hourly Billing
Hourly billing creates a perverse incentive: clients optimise for fewer hours, not better outcomes. Value-based pricing changes the conversation. Here is how to make the transition.
Building a Mini App on Zalo in 30 Days
A practical breakdown of the Zalo Mini App development process — what the platform gives you, what it does not, and how to ship in 30 days.
Fine-Tuning vs. RAG: Choosing the Right Approach
Two techniques dominate enterprise LLM customisation: fine-tuning and retrieval-augmented generation. Here is a decision framework for choosing the right one for your use case.
The 90-Day Customer Onboarding Playbook
Most churn is decided in the first 90 days. Here is the onboarding playbook that reduces time-to-value, builds habit, and sets up renewals before the sales team asks for them.
A Practical Guide to Computer Vision in Manufacturing
A step-by-step guide to deploying computer vision on a manufacturing line, covering data collection, model selection, edge deployment, and ongoing monitoring.
Using LLMs to Analyse Qualitative Research at Scale
Interview transcripts, support tickets, customer feedback — qualitative data has always been expensive to analyse. Large language models change the economics. Here is how to build the pipeline.
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