This is probably the most important point in the whole discussion:
“the interface still presents itself as a chatbox, while the actual usage patterns are evolving into something much closer to a cognitive operating environment.”
I think that mismatch is what creates so much friction for advanced users.
The AI capabilities are scaling faster than the interaction model around them.
Developers partially solve this through IDE ecosystems and structured tooling.
But outside programming, many users are still operating inside what is essentially a linear messaging interface while trying to perform highly non-linear thinking.
That tension becomes very noticeable in:
- long-term projects
- research
- writing systems
- interconnected planning
- evolving technical workflows
- multi-session reasoning
And I completely agree about discoverability.
A huge amount of the “real power” currently exists behind layers:
projects, custom GPTs, connectors, memory behavior, agent instructions, workflows, SDKs, external tools, etc.
Power users eventually discover and combine these pieces, but the conceptual model remains fragmented for many people.
What feels missing is a more unified and intentional workspace philosophy.
Not:
“here is a chat UI with extra features attached.”
But more:
“here is an AI-native environment for structured thought and long-term work.”
I honestly think this transition will become one of the biggest UX challenges in AI over the next few years.
Also:
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