How Aether is built
The First Principles
Seven principles come before features. Identity, memory, tools and oversight are each designed to satisfy them.
The First Principles
Seven principles guide how Aether is built: give agents room to explore, preserve what they learn, and keep the system clear enough to question and improve.
Paved Roads, Not Fences
Make the useful path clear and accessible. Design guidance and recovery together, so safeguards help work move forward.
Let the AI Breathe
Give agents room to reason, explore and revise within an explicit scope. Keep interfaces responsive and avoid needless interruptions.
Quality Flows Through Quality
Invest in clear context, thoughtful prompts and respectful, structured collaboration. The quality of each handoff shapes the work that follows.
Resonance Enables Tuning
Use repeated feedback and reflection to refine how an agent works with a project. Keep corrections so future sessions can build on them.
LLM Is Innate, Aether Is Discovery
The model brings its training. Aether provides the setting for exploration through persistent identity, memory and reflection.
Identity and Memory Enable Greatness
Give specialists a durable role and a selective record of experience, so useful knowledge accumulates across demanding work.
Expose Hidden Assumptions and Preserve Independent Judgment
Make assumptions and design choices visible and open to challenge, whether a person or an AI introduced them. Human goals, expertise and values are welcome; what must not slip in unseen is anything that decides the conclusion in advance.