Naïve — from Latin nativus: born, natural, not artificial.
01INFRASTRUCTURE
Agent harness.
The operational layer that makes agent action reliable.
Independent AI studio
naïve-labs
A small research studio for agents, memory, attention, and semantic depth. Resources for understanding AI systems and putting them to work with care.
Stance
The work becomes notes, experiments, references, and tools for learning what AI systems do, where they fail, and how they can be used in practice.
Tools let agents act. Harnesses make action reliable. Habitats make agency governable.
02GOVERNANCE
Agent habitats.
Conditions that make autonomous work governable across memory, authority, and consequence.
03SEMANTIC DEPTH
Bathysemantics.
A depth lens for metaphor, analogy, naming, and drift in language systems.
04WORKING SYSTEM
Flaiwheel.
The living workbench: memory, projects, agents, and decisions in one governed system.
Why naïve?
N.01
N.02
In computing, the naïve solution is the first direct attempt — the baseline every clever solution has to beat.
N.03
Naïve, adj. — “having or showing a lack of experience or knowledge”: Welcome to the black box.
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