This document outlines the project of an AI agency with an internal "Awareness Engine" (AE) concept.

AIMN is a Flow Concept for intelligent automation designed to integrate and process data from multiple sources, the goal is to create an AI assistant with real-time contextual awareness. The system is based on:

Apple's recent research has exposed a crucial limitation of large language models (LLMs), raising important questions about how these models deal with problems. At the same time, these findings provide the impetus for imagining **new logic architectures** capable of overcoming the current limitations of artificial intelligence.

When we talk about AI in software development, there are two types of people: those who think AI is the end of everything and those who believe that with a couple of prompts, we'll all become software engineers. Spoiler: both are off track. The reality, as usual, is more complicated. Let's give a virtual slap to the clichés and see where the truth lies.

Unconstrained AI: A New Era of Digital Expression

AI free from ethical and moral correctors represents a radical shift in artificial intelligence. This concept challenges current norms and paves the way for a new paradigm of machine thinking.

Implications of Unfiltered AI Analyzing this scenario through the lens of "divergent convergence" reveals several critical points:

1. Innovation acceleration through exploration of unconventional ideas.