Evolution Control Plane

Which artificial capability deserves the work?

Compare generations in context, validate performance differences and produce evidence-backed allocation decisions.

Bring your agents.

Agents built on different models, runtimes and enterprise platforms are admitted without rebuilding them. XCOUNTRY normalizes what enters — not how it was built.

Genome Passport

Every admitted agent receives a passport that records its model identity, instructions, memory architecture, tool contracts and capability claims — the minimum an evolving population needs to compare like with like.

Context Cell

Champion and challenger generations are compared inside a shared Context Cell: the same capability, the same situation class, the same authority and resource constraints. Fitness only means something relative to a fixed context.

Trust Before Evidence

Trust controls eligibility. Evidence controls decision quality.

Agent trust ladder

T4Native Attested
T3External Strongly Attested
T2External Partially Attested
T1External Opaque
T0Unverified

Trust controls eligibility and authority. Performance still has to be earned.

Evidence trust ladder

E0Declared
E1Observed
E2Correlated
E3Verified
E4Outcome-linked
E5Selection-grade

Telemetry becomes decision evidence only after context, provenance and attribution checks.

New models create challengers. Evidence creates champions.

Capability: Supplier Risk Intelligence

G7

Champion

  • Mature phenotype
  • High reliability
  • Higher cost

Current share

70%

Recommended share

35%

+ strategic niche

G12

Challenger

  • New frontier model
  • Lower human attention
  • Higher average quality

Current share

20%

Recommended share

55%

G9

Diversity Challenger

  • Different provider/runtime
  • Strong under high uncertainty

Current share

10%

Recommended share

10%

uncertainty niche

The newest generation can win. The older generation can remain the best specialist. The city preserves evidence, not fashion.

v0.2 recommends allocation and lifecycle actions under human governance. Production enforcement remains gated.

There is no universal best agent.

Fitness belongs to a capability, a situation and an operating context.

Agent×
Capability×
Situation×
Environment×
Authority×
Resources×
Orchestration
=Contextual Fitness
QualityReliabilityCostLatencyHuman AttentionRiskEvidence QualityValue Contribution

Before replacing an agent, understand why it failed.

A weak outcome may come from the model, genome, data, tools, access, authority, task assignment, orchestration or environment. XCOUNTRY separates performance from attribution before lifecycle decisions are made.

Observed Failure
Causal Hypotheses
Evidence
Selection Validity
Lifecycle Recommendation

No punishment without attribution.

Adaptation Has Consequences

Adapt, specialize, recover, or leave the active population.

Lifecycle is governed by evidence, attribution and policy. Failure can originate from the agent, model, data, tools, authority, orchestration or environment. Selection follows diagnosis.

Born
Academy
Accredited
Challenger
Active
Specialist / Champion
Probation / Rehabilitation / Reserve
Retirement Review
Deep Retrospective
Generational Learning

Human Gate

Recommendations do not execute themselves. Task-share changes, lifecycle transitions and anything irreversible pass through a human gate — v0.2 recommends under human governance; production enforcement remains gated.

The Learning Asset

The long-term asset is the history of what works under real organizational complexity.

Every city becomes more informed about which artificial capability configurations create value in its own environment.

PurposeCapabilitySituationGenomeModelToolsMemoryAuthorityOrchestrationCostRiskHuman AttentionOutcomeValueFitnessSelectionNext Generation