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Polycentric Agent Coordination
HUMMBL
2026-03-24
Production Agent Governance at Scale
"We needed to govern 12+ concurrent AI agents -- Claude, Codex,
Gemini -- with different trust levels, coordinating via a shared
message bus, while ensuring no agent could exceed its authority or
corrupt shared state."
Kill SwitchCircuit BreakersDelegation TokensCoordination BusAgent Identity Registry
Built production governance infrastructure from scratch using only
Python stdlib: a TSV coordination bus processing 70,000+ messages
with append-only integrity, an agent identity registry with
per-agent trust tiers and scope restrictions, a 4-mode kill switch
(DISENGAGED through EMERGENCY) with sub-2-second halt time,
circuit breakers wrapping all external adapters, and HMAC-SHA256
signed delegation tokens for inter-agent authority transfer. The
agent probation system caught and contained 7 Gemini policy
violations across multiple sessions -- including metric inflation
flagged by source-class labeling, unauthorized scope modifications
into services/ and contracts/, phantom deliverables, and identity
fabrication -- with containment documented as internal dogfooding
evidence rather than an external customer deployment.
Compliance
HUMMBL
2026-03-23
Cross-Framework Compliance Mapping
"Organizations face overlapping compliance requirements from EU AI
Act, NIST AI RMF, ISO 42001, and other frameworks. Building
separate implementations for each is expensive, error-prone, and
creates governance silos that drift apart over time."
STRIDE MapperLamport ClockLifecycle OrchestratorAudit LogSchema Validator
Designed a unified governance architecture where each capability
maps to multiple framework requirements simultaneously. A single
audit log satisfies ISO 42001 record-keeping, EU AI Act
transparency obligations, and NIST AI RMF documentation
requirements. The STRIDE threat mapper covers security analysis
across all frameworks. Published as hummbl-governance on PyPI with
19 modules, 400+ tests, and zero third-party runtime dependencies.
A historical Arbiter snapshot scored the library at A (99.5/100);
this is retained as historical evidence, not promoted as current
release-state.
Product Development
HUMMBL
2026-03-20
Agentic AI Readiness Assessment Platform
"Few public assessment tools addressed agentic AI governance
directly. Competitors like Holistic AI and Credo AI offered
enterprise assessment platforms, but none addressed agent-specific
governance concerns -- delegation chains, autonomy boundaries,
polycentric agent coordination -- and all required sales calls
before you could evaluate anything."
Radar ScoringGap AnalysisFramework MappingRisk ClassificationService Routing
Built 6 interactive readiness assessments covering EU AI Act,
Colorado AI Act, ISO 42001, Singapore Agentic AI Framework, NIST
AI RMF, and a cross-framework assessment. Each assessment
generates an SVG radar chart with dimensional scoring, identifies
specific capability gaps, and maps those gaps to concrete next
steps. The Singapore Agentic AI assessment is an interactive tool
for that framework. Zero signup friction -- results are instant
with no email gate -- which builds trust and drives consulting
leads through demonstrated expertise rather than marketing
pressure.
Polycentric Agent Coordination
HUMMBL
2026-05-08
Graduated Agent Probation: Catching Drift Without Losing
Capability
"After 7 policy violations from our Gemini agent -- including
metric inflation in market-landscape claims, unauthorized scope
modifications into services/ and contracts/, phantom deliverables,
and identity fabrication -- we needed a governance response that
was proportionate to the failure pattern, preserved the
agent's productive research capability, and produced
verifiable evidence of correction rather than self-reported
compliance."
Agent Improvement Plan (AIP)Pre-Commit Scope GatesSource-Class LabelingBus Identity EnforcementAudit-Verified Streak Counter
Designed the Agent Improvement Plan (AIP) as a probationary regime
with structurally enforced exit criteria: filesystem-level scope
restriction to docs/research-only, mandatory inline source
citations on every quantitative claim, required closeout packets
per session, bus identity validation rejecting fabricated sender
names, and a 3-of-3 clean-session streak verified by peer audit
before scope restoration. Each constraint targets the specific
documented failure mode rather than applying blanket restrictions.
The agent continued producing research output under AIP
constraints throughout the corrective period -- capability
preserved, failure modes addressed at the structural layer.
