Understanding AI Tools:

Which Ones Are Worth It and Which Are Just Hype

Note: This information is accurate as of November 2024. As AI technology rapidly evolves, please consider newer developments when reading this article.

Let’s cut through the noise. AI tools are everywhere, each promising to revolutionize productivity, creativity, or communication. Some of them do exactly what they say — others, not so much. To really understand what makes these tools tick and whether they’re worth your time, you’ve got to look at what they’re made of. In this blog, we’re diving into various AI tools, focusing on their key components: the architecture, the intelligence models, and the actual tools users get their hands on.

For simplicity’s sake, we’ve broken down each AI tool into three layers:

1. Architecture Layer: The backbone — the system that processes and generates data.
2. Model Layer: The brains — the trained system that understands and performs tasks.
3. Tool/Application Layer: The face — the user interface that makes it usable for you.

Here’s a no-nonsense look at how these AI tools stack up across those layers.

Key Differences Between AI Tools