The promise keeps outrunning the product. Demos dazzle. Decks oversell. Headlines hype the magic. But behind the curtain? Slow integrations, marginal gains, and products that only work in ideal conditions.
What’s happening is this:
Founders and teams are selling the idea of intelligence, not the actual delivery of it. They pitch a future where the tool anticipates your needs, handles the boring parts, and amplifies your edge. But what you get is usually a glorified autocomplete or worse, a hallucinating intern with no memory.
Here’s the brutal truth:
Until AI is paired with the right environment with constraints, data context, and workflow awareness, it’ll keep disappointing.
The models are smart, the systems around them are too shallow, too brittle and too detached from real-world complexity.
The illusion will break eventually once people stop settling for half-finished work. For the builders who nail it, the upside is wide open.
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