Every week there's a new AI tool promising to change everything. Most of it is noise. But a few tools have genuinely changed how our small team works — here's the honest version of what we use and what we'd skip.
Code assistance is the biggest win. Tools like GitHub Copilot and Claude write boilerplate, suggest bug fixes, and explain unfamiliar code in seconds. They don't replace developers — they remove the boring parts so developers can focus on architecture and real problems. Our team ships roughly 30% faster on routine features.
Customer support is the second win. We use AI to draft first responses to common client questions, summarise long email threads, and translate between English and Nepali. The human still sends the reply, but the draft saves ten minutes every time.
Where AI doesn't help yet: anything that needs real judgement about a client's business. No model can tell you whether a school in Kailali needs a fee module or an attendance-first workflow — that comes from sitting with the client and listening.
The rule we follow: AI drafts, humans decide. Every AI-generated line of code gets reviewed. Every AI-drafted message gets read before sending. Used that way, AI is a force multiplier for a small Nepali team competing with much larger firms.
Start small. Pick one repetitive task, automate it with AI, measure the time saved, and expand from there. That's how a team of five does the work of fifteen.
