Can intelligence emerge from cognitive architecture, not just larger models?

Most AI progress today is driven by scaling—more parameters, more data, more compute. Elyana explores a different hypothesis: that intelligence can be enhanced through memory, causal reasoning, abstraction, mental simulation, concept formation, and cross-domain transfer working together as a unified cognitive system.

We're especially interested in feedback around:

• How users think Elyana should balance reasoning vs speed.
• Whether long-term memory makes AI more useful in real-world workflows.
• What types of problems require causal understanding rather than simple pattern matching.
• Where current AI systems fail because they lack a world model or common-sense reasoning.

If you've used Elyana, we'd love to know where it surprised you, where it failed, and what cognitive capability you believe AI is still missing today.

The most valuable insights often come from users pushing the system beyond its intended use cases.