IA Models

We are entering a new era where artificial intelligence leads the technology used in production. The main reason is simple: it allows things to be built much faster and at a lower effort.

However, it also comes with downsides. AI outputs still need supervision, and users must know how to guide it properly. Most importantly, it has to be used efficiently and intelligently, avoiding over-reliance and expensive subscriptions.

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Before starting, three key points must be clear:

• Local AI is not a 1:1 replacement for frontier models (Claude, ChatGPT, or Gemini): We don’t have—and won’t have—the massive infrastructure these companies do. So expecting identical performance is unrealistic; you either adapt or pay the real cost of subscriptions.
• AI subscription prices will continue to rise: Companies have built long-term user dependency through cheap or free plans, but that phase is ending. If you want to keep using AI the same way as before, you can—but it will become increasingly expensive.
• We need to start using AI more intelligently: Avoid wasting and burn tokens, manage resources properly, invest in good training, and apply better tools and strategies to improve results.