๐—ช๐—ต๐˜† ๐——๐—ผ๐—บ๐—ฎ๐—ถ๐—ป ๐—ž๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ ๐— ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ๐˜€ ๐—ช๐—ถ๐˜๐—ต ๐—”๐—œ

AI writes code. AI summarizes documents. AI answers questions fast.

But AI needs human expertise. It needs domain knowledge.

I built Fix-It Fast AI. I learned a lesson. Advanced models are not the whole solution. You must understand the problem.

An AI knows what an HVAC system is. It knows what a fridge does. But it lacks real world experience.

Practical repair needs:

A homeowner sees a tripped breaker. A technician sees something else. The environment changes the cause.

Successful AI needs three things:

Domain expertise connects these parts. Without it, AI fails to give practical help.

This applies to every field:

Combine AI with deep knowledge. This gets results.

Technology improves. Real world problems stay the same. Domain knowledge is more valuable now. The future belongs to those who combine both.

Source: https://dev.to/michael_groover_1fe970a66/why-domain-knowledge-still-matters-in-the-age-of-ai-1ji3