
4 questions to answer before starting an AI project
AI is not good for every job. Four questions to start from the right place.
Notes on digital systems, automation and AI integration.

AI is not good for every job. Four questions to start from the right place.

A fixed package either cuts the scope or sells you more than you need. How a price is reached fairly.

Where your data is kept, who accesses it and how it is protected are set from the start, not later.

The newest tool does not win; the one that fits you best does. The boring but decisive factors of a technology decision.

If there is traffic but no conversion, the problem is not the design but the missing conversion principles.

Being found when searched depends not on luck but on page architecture. Humans and search engines understanding with the same clarity.

Automation built in the wrong place brings effort and a maintenance burden. How to recognize the right time.

The answer depends on how specific your data and decisions are to you. The real cost of the two paths.

An MVP is not an incomplete product; it is the smallest version that delivers a single value fully. The path to growing with facts.