AI & Automation
4 articles on ai & automation, written by the team at SiteCraft Innovation.
Practical writing about adding AI to a product without eroding the trust that made the product worth using, including the cases where the honest answer is a database query and a form.
The scoping piece is shipping AI features that users actually trust, which covers retrieval over your own documents, support automation, guardrails and what it costs to run. What it changed inside our own team is in AI coding agents in a small team. The build side is AI and machine learning and automation.
AI Chatbots That Understand Nepali: A Practical Guide for Kathmandu Businesses
Your customers write in Devanagari, in Romanized Nepali and in a mix of both, often in the same message. What it takes to build an AI assistant that handles all three, what it costs, and where it still falls over.
Where AI Coding Agents Help a Small Team, and Where They Cost You
An honest account of using coding agents on client work: the tasks where they pay for themselves, the tasks where they generate review debt, the repo setup that makes them useful, and what to tell clients.
AI Regulation: What Actually Changes in Client Projects
The policy debate is loud and the practical requirements are fairly boring. This is the part that reaches the codebase, the contract and the procurement questionnaire.
Shipping AI Features That Users Actually Trust
How to add AI to a product honestly: where retrieval over your own documents works, what it costs to run, what to automate in support, the guardrails content needs, and when the right answer is not to use AI at all.