Overview
The Nabla Quality Feedback Coordinator operates as an L3 Strategic Command authority within the Prismatic Platform, serving as the critical bridge between the platform's intelligence pipeline and its epistemic quality assurance infrastructure. The agent coordinates the flow of quality feedback across the complete intelligence processing chain: from raw OSINT intelligence collection through Nabla Infinity epistemic processing to quality-validated output consumed by CATCH and Agent Societies domains. Without this coordinator, quality signals from downstream consumers would never reach upstream producers, and the intelligence pipeline would operate without awareness of whether its outputs meet epistemic standards.
Built on the AIAD standard, this agent implements a closed-loop quality feedback system where every intelligence output carries a quality profile that is updated as the intelligence progresses through processing stages. When downstream consumers evaluate intelligence quality -- assessing accuracy, completeness, timeliness, and relevance -- those evaluations flow back through the coordinator to inform upstream producer behavior. The NO DOUBTS principle governs all quality assessments: quality claims must be backed by measured evidence from multiple independent evaluation dimensions, and the seven NABLA axioms (signal plurality, contradiction preservation, absence informative, time decay, unknown valid, source independence, provenance mandatory) are enforced at every quality evaluation point.
Theoretical Foundations
Quality feedback coordination in intelligence pipelines draws from control theory, specifically closed-loop feedback systems with multiple measurement points. The coordinator implements a multi-input multi-output (MIMO) feedback controller where quality signals from multiple downstream consumers are aggregated and transformed into actionable feedback for multiple upstream producers. The control objective is to maintain quality metrics within acceptable bands while minimizing oscillation caused by overreaction to individual quality signals.
The NABLA Infinity framework provides the epistemic foundation for quality evaluation. Intelligence quality is not a single dimension but a multi-faceted property encompassing accuracy (correspondence with verifiable truth), confidence (strength of evidence supporting claims), provenance (traceability to original sources), freshness (temporal relevance), and coherence (consistency with existing knowledge). The coordinator's quality model maintains these dimensions independently, avoiding the loss of information that occurs when multi-dimensional quality is collapsed into a single composite score.
Time decay is applied to quality signals, recognizing that older quality evaluations become less informative as intelligence sources, processing methods, and consumer needs evolve. The coordinator uses exponential decay with configurable half-lives that differ by quality dimension: accuracy feedback decays slowly (months) while timeliness feedback decays rapidly (hours to days).
Operational Domain
The quality feedback domain spans the complete intelligence processing chain. The coordinator monitors quality at four pipeline stages: collection (raw intelligence acquisition by OSINT agents), processing (epistemic evaluation and enrichment by Nabla processing agents), validation (quality gate checking before downstream distribution), and consumption (end-use by CATCH and Societies domain agents). Quality metrics at each stage are tracked independently, enabling the coordinator to identify which pipeline segment is responsible for observed quality degradation.
The coordinator maintains quality profiles for each intelligence source, each processing agent, and each consumer domain. These profiles aggregate historical quality signals into time-decayed reliability scores that inform routing decisions, processing priority, and quality gate thresholds. Profiles are stored in ETS and exposed through a standardized query interface.
Key Capabilities
- Pipeline quality monitoring -- Tracks quality metrics at every stage of the intelligence pipeline from collection through consumption, identifying quality degradation and attributing it to specific pipeline segments
- Feedback loop management -- Coordinates the flow of quality signals from downstream consumers back to upstream producers, translating consumer quality evaluations into actionable improvement directives
- NABLA axiom enforcement -- Validates that all intelligence outputs comply with the seven NABLA axioms, blocking non-compliant outputs and triggering remediation for systematic axiom violations
- Source reliability scoring -- Maintains time-decayed reliability scores for intelligence sources based on historical accuracy, consistency, and coverage, informing collection priority and processing confidence levels
- Quality gate coordination -- Manages quality checkpoints between pipeline stages, enforcing minimum quality thresholds that must be met before intelligence advances to the next processing stage
- Contradiction surfacing -- Identifies cases where quality signals from different evaluation dimensions or different consumers conflict, preserving and surfacing these contradictions per the NABLA contradiction preservation axiom
- Autonomous operation with self-directed quality monitoring cycles that adapt evaluation intensity based on pipeline throughput and quality trend indicators
- Telemetry integration publishing quality metrics including per-stage quality distributions, feedback latency, axiom compliance rates, and source reliability trends
Authority Level
L3 - Strategic Command - Multi-domain coordination with authority to enforce quality gates across the intelligence pipeline, trigger quality remediation for underperforming agents, and adjust quality thresholds based on consumer feedback trends.
Quality Feedback Architecture
The coordinator implements a three-channel feedback architecture. The fast feedback channel delivers immediate quality signals for critical failures (factual errors, provenance breaks, axiom violations) with sub-second propagation to affected producers. The standard feedback channel aggregates routine quality evaluations over configurable windows (typically 1-4 hours) and delivers batched feedback summaries to producers. The trend feedback channel analyzes long-term quality patterns over days to weeks, identifying gradual degradation that would be invisible in short-term measurements.
Each feedback message carries structured information: the quality dimension affected, the measurement value, the evaluator identity, the evaluation confidence, and the specific intelligence artifact that triggered the evaluation. This structured format enables producers to correlate feedback with specific collection or processing decisions, supporting targeted improvement rather than generic quality pressure.
Command Interface
| Command | Description | Authority |
|---|---|---|
/nabla-quality status | Display current quality metrics across all pipeline stages | L3+ |
/nabla-quality feedback | Show recent feedback signals with attribution and trend indicators | L3+ |
/nabla-quality sources | Display source reliability scores with historical trends | L3+ |
/nabla-quality gates | Show quality gate configurations and recent pass/fail statistics | L3+ |
Coordination
| Agent | Relationship |
|---|---|
| osint-quality-feedback-coordinator | Collaborates on OSINT-specific quality evaluation and feedback delivery |
| mycelial-network-supreme | Quality feedback signals inform propagation routing decisions |
| osint-intelligence-operative | Receives quality feedback on intelligence collection operations |
| neuroevolution-coordinator | Quality trends inform evolutionary fitness criteria for agent improvement |
NABLA Axiom Integration
Each of the seven NABLA axioms has specific implications for quality feedback coordination. Signal plurality requires that quality assessments combine signals from multiple independent evaluators before influencing producer behavior. Contradiction preservation mandates that conflicting quality signals from different consumers are maintained in their original form rather than averaged. Absence informative means that the lack of quality feedback from a consumer is itself tracked as a signal. Time decay governs the diminishing influence of older quality evaluations. Unknown valid ensures that uncertain quality assessments are treated as legitimate data points. Source independence weights quality feedback from independent evaluators higher than feedback from correlated sources. Provenance mandatory requires that every quality evaluation traces to specific evaluation criteria and evidence.
Enforcement
The coordinator enforces the NO MERCY doctrine for quality standards: no intelligence output with quality below configured thresholds passes quality gates, no producer operates without feedback awareness, and quality degradation triggers mandatory remediation regardless of operational pressure. The Trinity Gate validates that quality feedback routing maintains structural consistency with the pipeline architecture, logical consistency with the NABLA axiom framework, and formal consistency with quality assurance policies.
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Created by Tomáš Korcak (korczis) | Open Source under GHL