VEB ENGINE
Virtual Executive Board
Multi-Model Strategic Synthesis Council
A distributed adversarial debate council connecting Anthropic Claude, Google Gemini, OpenAI, and DeepSeek to score venture decisions, audit code, and issue deterministic work directives.
Core Capabilities:
- Consensus scoring engine (1-10 rating with formal dissenting opinions)
- Multi-agent adversarial cross-examination prior to execution
- Automated work order compilation for downstream execution
- Persistent state memory across enterprise planning cycles
// VEB MULTI-MODEL ADVERSARIAL PIPELINEACTIVE CONSENSUS
NODE AClaude 3.7Reasoning CFO
NODE BGemini 2.5Market CMO
NODE CDeepSeek V3Adversary CISO
CROSS-EXAMINATION DISPATCH
DETERMINISTIC BOARD DIRECTIVE
RATING: 9.4 / 10PROCEED TO BUILD
LATENCY
184ms P95
veb_payload.python
pythonfrom planetj.veb import BoardCouncil
council = BoardCouncil(members=["claude-3-7-sonnet", "gemini-2.5-pro"])
decision = council.debate(
topic="Infrastructure scale vs model distillation",
context={"budget": 10000, "target_rpm": 50000}
)
print("Board Directive:", decision.consensus_rating)
AWOS ENGINE
Agentic Workforce Orchestration
Headless Event-Driven Autonomous Execution
Containerized micro-agents running on serverless Google Cloud Run infrastructure. Dispatched instantly from work orders to build, verify, and monitor production revenue operations.
Core Capabilities:
- Sub-second cold-start worker swarms on Google Cloud Run
- Self-healing execution loops with automatic state checkpointing
- Telemetry streaming directly to Central Nervous System (CNS)
- Zero human-in-the-loop task routing and asset provisioning
// AWOS EVENT-DRIVEN SWARM RUNTIMEHEADLESS RUNTIME
1. INGRESS WORK ORDERWO-8821-SCALE
2. CLOUD RUN SWARM DISPATCH12 MICRO-AGENTS SPAWNED
3. REVENUE ASSET PROVISIONINGCHECKPOINT VERIFIED
COLD-START: 120msAUTO-HEALING: ENGAGED
awos_payload.typescript
typescriptimport { AWOSOrchestrator } from '@planetj/awos';
const orchestrator = new AWOSOrchestrator({ cluster: 'gcp-us-central1' });
const swarm = await orchestrator.dispatchSwarm({
workOrder: 'WO-8821-SCALE',
concurrency: 12,
autoHeal: true
});
Aegis ENGINE
Loop Prevention & Safety Guardrails
Deterministic Circuit Breakers for Autonomous Swarms
Hardened anti-recursion filters and adversarial prompt-injection shields that guarantee agents never enter runaway spending loops or hallucinate dangerous system mutations.
Core Capabilities:
- Real-time recursion depth tracking with hard execution caps
- Non-semantic circuit breaking when model drift is detected
- Adversarial prompt injection sanitizer before LLM context ingestion
- Automated rollback to last known deterministic state checkpoint
// AEGIS DETERMINISTIC CIRCUIT BREAKERLOOP GUARD ENGAGED
RECURSION LOOP DEPTHDEPTH 2 OF 5
0 (CLEAN)3 (WARNING)5 (HARD TRIP)
THREAT SCANNER: NO ADVERSARIAL DRIFTPASSED
aegis_payload.json
json{
"guardrail": "aegis.v2.strict",
"max_loop_depth": 5,
"action_on_breach": "CIRCUIT_OPEN_ROLLBACK",
"sanitization_level": "SOC2_FINANCIAL"
}
Optima ENGINE
Intelligent LLM Router
Cost & Latency Optimized Model Multiplexing
Inspect every inbound payload and dynamically route to the cheapest, fastest model capable of passing the task criteria. Fall back automatically without dropping connections.
Core Capabilities:
- Semantic difficulty scoring to route low-complexity prompts to edge models
- Dynamic cost-slashing: up to 84% reduction in enterprise token bills
- Multi-provider failover chains (Claude → Gemini → DeepSeek → Local Ollama)
- Unified OpenAI-compatible API gateway format
// OPTIMA INTELLIGENT MODEL MULTIPLEXERCOST SLASHER
INBOUND PROMPT COMPLEXITYSCORE: 0.32 (LOW)
OPTIMA ROUTE DECISIONGemini 2.5 Flash (Edge)
84% SAVINGSFALLBACK TARGETLocal Ollama Cluster
optima_payload.python
pythonfrom planetj import Optima
router = Optima(strategy="lowest-cost", latency_budget_ms=300)
result = router.route(
messages=[{"role": "user", "content": "Extract customer order ID"}],
allowed_providers=["anthropic", "google", "local_ollama"]
)
Sentinel ENGINE
Webhook Engine
High-Throughput State Ingestion Pipeline
Sub-150ms reactive webhook processor that captures events across your CRM, payment processors, and agent runtimes to trigger autonomous workflows without drift.
Core Capabilities:
- P95 latency under 150ms on Apache/FastAPI hybrid endpoints
- Guaranteed at-least-once delivery with exponential backoff retries
- Cryptographic signature validation on all incoming payload sources
- Real-time state mutation in edge databases with zero lock contention
// SENTINEL HIGH-THROUGHPUT WEBHOOK INGRESSAT-LEAST-ONCE
P95 INGRESS SPEED142ms
DELIVERY GUARANTEE100% ACK
SIGNATURE VALIDATIONHMAC-SHA256 OK
sentinel_payload.bash
bashcurl -X POST https://api.planetjdigital.com/v1/webhook \
-H "Authorization: Bearer pj_live_..." \
-H "Content-Type: application/json" \
-d '{"event":"payment.received","amount":499.00,"tier":"pro"}'
Flux ENGINE
Rate & FinOps Governance
Strict Spend Caps & Token Allocation Controls
Granular control over LLM expenditure. Enforce hard spend caps, per-agent token limits, and automated team budget approvals so AI bills remain deterministic.
Core Capabilities:
- Hard budget ceilings with automatic soft-warning threshold alerts
- Per-tenant and per-agent token metering and burst throttling
- Detailed cost-attribution analytics grouped by business unit
- Auto-switch to zero-cost local Ollama clusters if cloud budget hits cap
// FLUX FINOPS RATE & BUDGET GOVERNANCESPEND CAP LOCKED
MONTHLY TOKEN BUDGET2.4B / 5.0B TOKENS
HARD CEILING: $500/MOCURRENT: $240.10
OVERAGE CHARGES$0.00 (STRICT 429 SHED)
flux_payload.json
json{
"finops": {
"daily_spend_limit_usd": 25.00,
"on_limit_exceeded": "SWITCH_TO_LOCAL_GPU_FALLBACK",
"alert_recipients": ["engineering@planetjdigital.com"]
}
}