DCS
A research program studying cognition distributed across humans, models, agents, operators, tools, memory stores, machines, and control planes — and the authority structures that govern it.
Real AI-native organizations are not single agents. Understanding how distributed cognition composes — and how authority, coordination cost, and failure propagate through it — is foundational to everything the lab builds.
Problem Space
Cognitive topology and authority topology are routinely conflated. Without separating who thinks from who decides, systems accumulate coordination cost, authority leakage, unbounded failure propagation, and lost institutional memory.
System Direction
DCS studies cognitive topology versus authority topology, coordination cost, delegation and recomposition, specialization, failure propagation, institutional memory, and the boundary between operators and systems. DCS is a research program — not a product and not an operator.
Public Capabilities
- 01Cognitive vs. authority topology
- 02Coordination cost analysis
- 03Delegation and recomposition
- 04Specialization studies
- 05Failure propagation analysis
- 06Institutional memory research
- 07Operator/system boundary definition
Research Programs
The questions this system is built to investigate. Attachment to a program describes what the system is for — it makes no claim about its maturity, evidence, or current activity, which are recorded separately above.
DCS publishes generalized research only. Operational identities, private integrations, authority maps, and internal workflows of lab-internal systems remain private.
What Is Not Disclosed
Private implementation details, security-sensitive internals, and unreleased runtime architecture are intentionally not disclosed.