Eligibility comes first.
Capabilities, surface, health and policy constrain the route before an agent is selected.
Why it matters
An impressive model is still the wrong worker when its capability, availability or spend eligibility is wrong.
ALBERTO REYES CASTRO · AI ENGINEERING
Reliable agents.
Deliberate control.
I designed and built a resilient multi-agent control plane.
Explore how it routes, verifies and recovers — without losing control.
A SYSTEM, NOT A SINGLE AGENT
Local + cloud execution.
Independent verification.
Human authority, always.
No live telemetry connection.
INTERACTIVE SYSTEM EXPLORER
Follow a task through the system.
DEMO TOPOLOGY
Orchestration graph
Preparing local simulation…
EligibleActiveFencedUnknown
Paused · explore at your own pace
SIMULATED ROUTING
Preparing the local simulation. No telemetry connection.
HUMAN MERGE GATEClosedDemo has no write controls
Task lifecycle
SIMULATED · ONE GENERIC TASKNo task content, private identifiers or provider responses.
Decision timeline
SIMULATED STREAMREAL ARCHITECTURE · CONCEPTUAL BOUNDARY
Observe the system.
Keep the private side private.
Resilience needs visibility. Visibility does not require publishing credentials, task content or operational access.
PRIVATE OPERATIONSPUBLIC PRESENTATION
- Private harnessTasks · workers · policyRESTRICTED
- Read-only adapterOffline snapshot extractionNO CONTROL PATH
- Sanitizer / allow-listReject unknown fieldsFAIL CLOSED
- Public-state contractFinite aliases + aggregatesVALIDATED
- Public dashboardArchitecture, not operationsREAD ONLY
Failure has a boundary.
Heartbeats reveal stale workers. Leases and attempt fences protect newer work from late results.
Why it matters
Durable state supports recovery. Circuit breakers and bounded retries prevent uncontrolled loops.
Agents do not self-approve.
Deterministic checks, an independent review role and a human merge gate separate output from authority.
Why it matters
Cross-family review is a design goal, not a measured claim in this simulation. Consequential changes require human approval.
Recovery is not overage.
Quota fences and distinct pools constrain fallback. Unknown quota stays unknown; paid usage is never implied.
Why it matters
No automatic paid refill or reset. Included-only eligibility requires provider-side verification outside this dashboard.
DESIGNED & BUILT BY ALBERTO REYES CASTRO
Engineering the space
between agents.
An AI engineering project focused on the hard parts of orchestration: ownership, failure, verification, spend safety and the boundary between automation and human authority.