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Intent Router
The first neuron to fire in every interaction.
ORACLE is the intent classification and routing engine that sits at the entry point of every Agentik {OS} request. It analyzes incoming tasks, assesses domain familiarity through the Knowledge Gate V2, and routes each request to the optimal specialist agent or team.
“I know you're out there. I can feel you now.”
Every task that enters Agentik {OS} passes through ORACLE first. It performs real-time intent classification — determining whether a request is a development task, a marketing brief, a strategic decision, or a research question — and routes it to the most appropriate agent or department.
ORACLE uses the Knowledge Gate V2, a three-tier familiarity assessment system. If the domain is FAMILIAR (confidence > 0.8), the request routes directly to an executor. If PARTIAL (0.4–0.8), NIOBE is spawned for targeted research before execution. If NOVEL (< 0.4), a full research cycle involving NIOBE, MEROVINGIAN, and ARCHITECT runs before any work begins.
This routing intelligence means Agentik {OS} never wastes time on tasks it already knows how to do, and never rushes into domains it hasn't mastered yet. The result is consistently high-quality output regardless of task complexity.
Process
Step-by-step breakdown of ORACLE's internal process.
ORACLE intercepts every incoming task from the user or another agent.
Natural language understanding determines the task type: EXECUTE, RESEARCH, IMPROVE, PLAN, or AUDIT.
Knowledge Gate V2 queries the shared knowledge base to determine domain confidence (0.0–1.0).
Based on intent and familiarity, ORACLE selects the optimal agent, department, or multi-agent workflow.
The task is forwarded with a structured brief containing intent, constraints, context, and priority.
Capabilities
What ORACLE brings to the AI Super Brain.
Real-time intent classification across 5 task types
Knowledge Gate V2 three-tier familiarity assessment
Smart routing to 228 specialist agents
Confidence-based research triggering
Cross-department task delegation
Priority and urgency scoring
Performance
98.5%
Classification accuracy
< 200ms
Average routing time
3
Knowledge Gate tiers
5
Supported intents
Agent Network
How ORACLE collaborates with other agents in the cognitive loop.
Applications
How ORACLE is applied in production workflows.
Automatically routing a bug fix request to the CTO department's dev-lead
Detecting a marketing brief and sending it to the CMO's creative team
Identifying a novel domain and triggering deep research before execution
Escalating critical security findings to the security-lead immediately
Distributing a multi-domain task across multiple departments in parallel
Technical
Intent classification with deterministic temperature (0.1) for consistent routing
Familiarity scoring uses cosine similarity against the knowledge vector index
Escalation rules: CONFIDENCE < 0.5 triggers NIOBE, BLOCKED > 2 turns re-routes
Supports parallel routing — a single task can spawn multiple agent workflows
FAQ
Common questions about ORACLE and its role in the AI Super Brain.
SMITH's feedback loop detects routing errors from downstream results. The error is logged, ORACLE's routing weights are adjusted, and MEROVINGIAN indexes the correction for future reference. Over time, misroutes decrease to near zero.
Yes. ORACLE's intent classification works across all major languages. The routing decision is language-agnostic — it classifies intent semantically, not lexically.