Agent & strategy routing
Persistent knowledge, strategy and capability candidates can be evaluated, adopted, routed at task time, measured and retired. External commentary is distilled into hypotheses rather than imported as truth.
PHI NEXUS · CERBERRUS144 engineering evidence
AI systems built around evidence, routing, measurement and controlled execution.
This portfolio describes engineering work implemented in the CERBERRUS144 project: persistent agent/evolution state, capability qualification, workflow orchestration, diagnostic sales/revenue logic, web opportunity discovery and payment-evidence gates.
Evidence boundary: this page is a technical portfolio, not a customer-success claim. It does not claim enterprise deployments, employment history, years of experience, revenue results or client outcomes that are not independently verified.
What is implemented
System components
Capability qualification
Local model/capability qualification is designed around bounded tests, compile/runtime checks, benchmark thresholds, license controls and retry/cooldown rules instead of self-reported competence.
Workflow & commercial orchestration
A persistent sales pipeline tracks qualification, diagnostic discovery, next actions, follow-up limits, objection evidence, decision states and verified won/lost outcomes.
Revenue evidence
Revenue is not inferred from a proposal or a conversational yes. Payment bridges are designed to require verified provider evidence before a commercial opportunity becomes won.
Public-web opportunity discovery
Revenue discovery layers separate speculative prospects from explicit paid projects, require public evidence, rank fit, retain stack gaps and avoid private-person data harvesting.
Execution governance
Commercial work is WIP-limited so opportunity discovery does not become endless parallel activity. Degraded business state reduces active work further.
Engineering pattern
How a capability moves toward use
1. Discover a candidate capability, strategy, lead or paid project from an allowed source.
2. Separate source provenance from truth; record missing evidence explicitly.
3. Run bounded qualification or fit checks. Unproven hard requirements remain blockers.
4. Route only accepted internal capabilities or owner-approved commercial actions.
5. Record observed outcomes and retire/revise approaches that underperform.
Proof standard
Observed, inferred, unknown
Public engineering tool · available globally
MicroVault — Free private CSV data check
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Current commercial surface
AI Systems Audit
A fixed-scope review of one AI-enabled workflow for evidence quality, failure modes, controls, data exposure and operational readiness. This service is separate from the engineering portfolio and does not guarantee revenue, savings or compliance.
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