Ai Architecture

Imagine a commercial greenhouse containing a crop worth EUR 500,000.

Temperature is one of the variables that determines whether that crop survives.

Too cold for too long and growth may be damaged.

Too hot and the crop itself may be at risk.

The greenhouse therefore has deterministic capabilities such as:

read_internal_temperature()

read_external_weather()

adjust_heating()

control_ventilation()

Its desired outcome is simple to express:

The current AI transition is often described as a revolution in software development.

Large language models generate code, tests, documentation and integrations. Natural language is increasingly becoming an interface to software construction, and development is becoming faster and cheaper.

But this is still, fundamentally, the traditional software model:

Requirement
    ↓
Developer + AI
    ↓
Code
    ↓
Application
    ↓
User
    ↓
Outcome

AI has accelerated the construction of the application.