AI agents explained

A practical guide: which processes in Tashkent and the CIS are worth giving to AI agents, when a 2–3 week pilot makes sense, and when automation will not pay back. With links to real UNIKA cases.

A comparison of the three leading AI platforms on the criteria that actually matter for business tasks: accuracy, context, cost, integrations and how your data is handled. Plus why choosing the model is not the most important decision in a project.

What RAG (Retrieval-Augmented Generation) is, how semantic search works, why an AI agent without it is useless for business — and where RAG breaks in practice. With examples and an honest cost breakdown.

How a system of several AI agents differs from a single bot, how they hand work to each other, where the added complexity is justified and where it is not — and why you should still start with one agent.