A unified system for cognitive, epistemic, and context-aware prompt engineering
The Integrated Framework unifies all components of the Enhanced Prompt Engineering system into a cohesive ecosystem that preserves mental models, maintains semantic integrity, enables cognitive archaeology, and supports pluriversal perspectives. This framework treats prompts as "promptware"—formal, version-controlled, and executable software artifacts with cognitive, epistemic, and ethical dimensions.
Standardized representation across components
Provides a standardized data model for representing prompts, contexts, mental models, and metrics across all components.
Common functionality for all components
Implements shared services such as semantic drift monitoring, mental model repository, and audit trail generation.
Ensure consistency across components
Provides mechanisms for cross-validating metrics, functionality, and outputs across all components.
Self-improving capabilities
Enables recursive self-improvement through feedback loops, metric tracking, and adaptation mechanisms.
Seamless integration with existing workflows
Provides tools and interfaces for integrating the framework with existing development and operational workflows.
Manage prompts as organizational assets
Implements a governance model for managing prompts as critical organizational assets with appropriate controls.
Prompt {
// Core Properties
id: string, // Unique identifier
version: string, // Version number
type: PromptType, // Task, Query, Definition, Process
content: string, // Raw prompt content
// Cognitive Properties
intent: Intent, // Explicit intent
assumptions: Assumption[], // Explicit assumptions
mentalModels: ModelReference[], // Referenced mental models
// Contextual Properties
context: Context, // Execution context
constraints: Constraint[], // Explicit constraints
verification: Verification[], // Verification mechanisms
// Semantic Properties
semanticAnchors: Anchor[], // Semantic anchoring points
driftCoefficient: number, // Semantic drift coefficient
// Ethical Properties
ethicalConstraints: EthicalConstraint[], // Ethical constraints
perspectives: Perspective[], // Included perspectives
values: Value[], // Explicit values
// Metadata
created: DateTime, // Creation timestamp
modified: DateTime, // Last modified timestamp
author: string, // Author identifier
status: Status, // Current status
tags: string[], // Categorization tags
// Relationships
dependencies: Dependency[], // Dependencies on other prompts
derivedFrom: string, // Parent prompt ID
variants: string[], // Variant prompt IDs
// Metrics
metrics: PromptMetrics, // Associated metrics
// Audit Trail
auditTrail: AuditEntry[] // Modification history
}
Context {
// Core Properties
id: string, // Unique identifier
version: string, // Version number
type: ContextType, // Execution, Domain, Temporal, Spatial
// Environment Context
environment: {
parameters: Parameter[], // Environment parameters
constraints: Constraint[], // Environment constraints
requirements: Requirement[] // Environment requirements
},
// Domain Context
domain: {
name: string, // Domain name
version: string, // Domain version
parameters: Parameter[], // Domain parameters
ontology: OntologyReference // Domain ontology
},
// Temporal Context
temporal: {
start: DateTime, // Start time
end: DateTime, // End time
duration: Duration, // Duration
recurrence: Recurrence // Recurrence pattern
},
// Spatial Context
spatial: {
location: Location, // Location
scope: Scope, // Spatial scope
boundaries: Boundary[] // Spatial boundaries
},
// Binding Properties
bindingMechanisms: BindingMechanism[], // Context binding mechanisms
verificationHooks: VerificationHook[], // Context verification hooks
// Metadata
created: DateTime, // Creation timestamp
modified: DateTime, // Last modified timestamp
author: string, // Author identifier
status: Status, // Current status
tags: string[], // Categorization tags
// Relationships
dependencies: Dependency[], // Dependencies on other contexts
derivedFrom: string, // Parent context ID
variants: string[], // Variant context IDs
// Metrics
metrics: ContextMetrics, // Associated metrics
// Audit Trail
auditTrail: AuditEntry[] // Modification history
}
MentalModel {
// Core Properties
id: string, // Unique identifier
version: string, // Version number
type: ModelType, // Conceptual, Procedural, Structural, Causal
name: string, // Model name
description: string, // Model description
// Cognitive Properties
concepts: Concept[], // Core concepts
relationships: Relationship[], // Relationships between concepts
operations: Operation[], // Operations on concepts
constraints: Constraint[], // Model constraints
// Reconstruction Properties
reconstructionHints: ReconstructionHint[], // Hints for reconstruction
artifacts: Artifact[], // Associated artifacts
decisions: Decision[], // Decision records
alternatives: Alternative[], // Alternative considerations
// Metadata
created: DateTime, // Creation timestamp
modified: DateTime, // Last modified timestamp
author: string, // Author identifier
status: Status, // Current status
tags: string[], // Categorization tags
// Relationships
dependencies: Dependency[], // Dependencies on other models
derivedFrom: string, // Parent model ID
variants: string[], // Variant model IDs
// Metrics
metrics: ModelMetrics, // Associated metrics
// Audit Trail
auditTrail: AuditEntry[] // Modification history
}
Metrics {
// Core Properties
id: string, // Unique identifier
version: string, // Version number
type: MetricType, // Prompt, Context, Model, System
// Cognitive Metrics
cognitive: {
mentalModelPreservation: number, // Mental model preservation score
intentClarity: number, // Intent clarity score
assumptionExplicitness: number, // Assumption explicitness score
reconstructability: number, // Reconstructability score
cognitiveTransparency: number // Cognitive transparency score
},
// Semantic Metrics
semantic: {
semanticPrecision: number, // Semantic precision score
driftCoefficient: number, // Semantic drift coefficient
boundaryClarity: number, // Boundary clarity score
referenceStability: number, // Reference stability score
semanticIntegrity: number // Semantic integrity score
},
// Contextual Metrics
contextual: {
contextDefinition: number, // Context definition score
contextBinding: number, // Context binding score
verifiability: number, // Verifiability score
adaptability: number, // Adaptability score
contextualCoherence: number // Contextual coherence score
},
// Ethical Metrics
ethical: {
valueCoverage: number, // Value coverage score
perspectiveInclusion: number, // Perspective inclusion score
harmPrevention: number, // Harm prevention score
accountability: number, // Accountability score
ethicalCoherence: number // Ethical coherence score
},
// System Metrics
system: {
crossComponentCoherence: number, // Cross-component coherence score
recursiveImprovement: number, // Recursive improvement score
adaptability: number, // System adaptability score
robustness: number, // System robustness score
overallIntegrity: number // Overall system integrity score
},
// Metadata
created: DateTime, // Creation timestamp
modified: DateTime, // Last modified timestamp
author: string, // Author identifier
status: Status, // Current status
tags: string[], // Categorization tags
// Relationships
targetId: string, // Target entity ID
targetType: EntityType, // Target entity type
// Audit Trail
auditTrail: AuditEntry[] // Modification history
}
// Prompt to Context Relationship
PromptContextBinding {
promptId: string, // Prompt ID
contextId: string, // Context ID
bindingType: BindingType, // Binding type
bindingStrength: number, // Binding strength
verificationMechanisms: VerificationMechanism[] // Verification mechanisms
}
// Prompt to Mental Model Relationship
PromptModelReference {
promptId: string, // Prompt ID
modelId: string, // Mental model ID
referenceType: ReferenceType, // Reference type
explicitness: number, // Explicitness level
coverage: number // Coverage level
}
// Context to Mental Model Relationship
ContextModelBinding {
contextId: string, // Context ID
modelId: string, // Mental model ID
bindingType: BindingType, // Binding type
bindingStrength: number, // Binding strength
adaptationMechanisms: AdaptationMechanism[] // Adaptation mechanisms
}
// Prompt to Prompt Relationship
PromptDependency {
sourceId: string, // Source prompt ID
targetId: string, // Target prompt ID
dependencyType: DependencyType, // Dependency type
dependencyStrength: number, // Dependency strength
verificationMechanisms: VerificationMechanism[] // Verification mechanisms
}
// Context to Context Relationship
ContextDependency {
sourceId: string, // Source context ID
targetId: string, // Target context ID
dependencyType: DependencyType, // Dependency type
dependencyStrength: number, // Dependency strength
verificationMechanisms: VerificationMechanism[] // Verification mechanisms
}
// Mental Model to Mental Model Relationship
ModelDependency {
sourceId: string, // Source model ID
targetId: string, // Target model ID
dependencyType: DependencyType, // Dependency type
dependencyStrength: number, // Dependency strength
verificationMechanisms: VerificationMechanism[] // Verification mechanisms
}
// Evaluation Template Data Flow
EvaluationFlow {
promptId: string, // Prompt ID
evaluationId: string, // Evaluation ID
metrics: Metrics, // Evaluation metrics
recommendations: Recommendation[], // Improvement recommendations
feedback: Feedback // Evaluation feedback
}
// Minimalism Challenge Data Flow
MinimalismFlow {
promptId: string, // Prompt ID
stageId: string, // Stage ID
transformation: Transformation, // Applied transformation
preservedElements: Element[], // Preserved elements
metrics: Metrics, // Stage metrics
feedback: Feedback // Stage feedback
}
// Grammar Assistant Data Flow
GrammarFlow {
promptId: string, // Prompt ID
analysisId: string, // Analysis ID
patterns: Pattern[], // Identified patterns
recommendations: Recommendation[], // Improvement recommendations
transformations: Transformation[], // Suggested transformations
metrics: Metrics, // Analysis metrics
feedback: Feedback // Analysis feedback
}
// Integrated Framework Data Flow
IntegratedFlow {
entityId: string, // Entity ID
entityType: EntityType, // Entity type
operations: Operation[], // Applied operations
metrics: Metrics, // Integrated metrics
crossValidation: CrossValidation, // Cross-validation results
feedback: Feedback // Integrated feedback
}
Monitors and measures semantic drift across all components and entities.
Stores, manages, and provides access to mental models across all components.
Creates and maintains audit trails for all entities and operations.
Manages context definitions and bindings across all components.
Collects, aggregates, and analyzes metrics across all components.
Manages feedback loops for recursive self-improvement.
// Semantic Drift Monitor Interface
interface SemanticDriftMonitor {
// Core Methods
measureDrift(entityId: string, entityType: EntityType): DriftMeasurement;
trackDriftOverTime(entityId: string, entityType: EntityType, timeRange: TimeRange): DriftTimeSeries;
compareDrift(entityId1: string, entityType1: EntityType, entityId2: string, entityType2: EntityType): DriftComparison;
detectDriftThreshold(entityId: string, entityType: EntityType, threshold: number): DriftAlert[];
// Visualization Methods
visualizeDrift(entityId: string, entityType: EntityType): DriftVisualization;
visualizeDriftComparison(entityId1: string, entityType1: EntityType, entityId2: string, entityType2: EntityType): DriftComparisonVisualization;
visualizeDriftOverTime(entityId: string, entityType: EntityType, timeRange: TimeRange): DriftTimeSeriesVisualization;
// Mitigation Methods
suggestDriftMitigation(entityId: string, entityType: EntityType): MitigationSuggestion[];
applyDriftMitigation(entityId: string, entityType: EntityType, mitigationId: string): MitigationResult;
validateMitigationEffectiveness(entityId: string, entityType: EntityType, mitigationId: string): MitigationEffectiveness;
// Configuration Methods
configureDriftThresholds(thresholds: DriftThreshold[]): void;
configureDriftAlerts(alerts: DriftAlertConfiguration[]): void;
configureDriftMeasurementParameters(parameters: DriftMeasurementParameters): void;
}
// Data Types
type DriftMeasurement = {
overallDrift: number;
dimensionalDrift: {
semantic: number;
cognitive: number;
contextual: number;
ethical: number;
};
driftSources: DriftSource[];
confidence: number;
timestamp: DateTime;
};
type DriftSource = {
sourceType: DriftSourceType;
sourceId: string;
contribution: number;
description: string;
};
type DriftTimeSeries = {
entityId: string;
entityType: EntityType;
timeRange: TimeRange;
measurements: {
timestamp: DateTime;
measurement: DriftMeasurement;
}[];
trend: DriftTrend;
anomalies: DriftAnomaly[];
};
type DriftComparison = {
entity1: {
id: string;
type: EntityType;
measurement: DriftMeasurement;
};
entity2: {
id: string;
type: EntityType;
measurement: DriftMeasurement;
};
difference: {
overall: number;
dimensional: {
semantic: number;
cognitive: number;
contextual: number;
ethical: number;
};
};
similarities: DriftSimilarity[];
differences: DriftDifference[];
};
// Mental Model Repository Interface
interface MentalModelRepository {
// Core Methods
getModel(modelId: string, version?: string): MentalModel;
createModel(model: MentalModel): string;
updateModel(modelId: string, model: MentalModel): MentalModel;
deleteModel(modelId: string): boolean;
// Version Management
getModelVersions(modelId: string): ModelVersion[];
getModelVersion(modelId: string, version: string): MentalModel;
createModelVersion(modelId: string, model: MentalModel): string;
compareModelVersions(modelId: string, version1: string, version2: string): ModelComparison;
// Search and Discovery
searchModels(query: ModelSearchQuery): MentalModel[];
discoverRelatedModels(modelId: string): ModelRelationship[];
findModelsByTags(tags: string[]): MentalModel[];
findModelsByAuthor(author: string): MentalModel[];
// Validation and Analysis
validateModel(model: MentalModel): ValidationResult;
analyzeModelCompleteness(modelId: string): CompletenessAnalysis;
analyzeModelConsistency(modelId: string): ConsistencyAnalysis;
analyzeModelCoherence(modelId: string): CoherenceAnalysis;
// Visualization
visualizeModel(modelId: string): ModelVisualization;
visualizeModelRelationships(modelId: string): RelationshipVisualization;
visualizeModelEvolution(modelId: string): EvolutionVisualization;
// Integration
linkModelToEntity(modelId: string, entityId: string, entityType: EntityType, linkType: LinkType): string;
getModelLinks(modelId: string): ModelLink[];
getEntitiesUsingModel(modelId: string): EntityReference[];
}
// Data Types
type ModelVersion = {
version: string;
timestamp: DateTime;
author: string;
changes: ModelChange[];
};
type ModelChange = {
changeType: ChangeType;
element: string;
before: any;
after: any;
rationale: string;
};
type ModelComparison = {
modelId: string;
version1: string;
version2: string;
addedElements: ModelElement[];
removedElements: ModelElement[];
modifiedElements: {
element: ModelElement;
before: any;
after: any;
}[];
similarityScore: number;
};
type ModelSearchQuery = {
keywords: string[];
tags: string[];
authors: string[];
dateRange: DateRange;
modelTypes: ModelType[];
attributes: {
key: string;
value: any;
operator: SearchOperator;
}[];
};
// Audit Trail Generator Interface
interface AuditTrailGenerator {
// Core Methods
logEvent(event: AuditEvent): string;
getAuditTrail(entityId: string, entityType: EntityType): AuditTrail;
getAuditEvent(eventId: string): AuditEvent;
searchAuditEvents(query: AuditSearchQuery): AuditEvent[];
// Trail Analysis
analyzeAuditTrail(entityId: string, entityType: EntityType): TrailAnalysis;
detectAnomalies(entityId: string, entityType: EntityType): AuditAnomaly[];
reconstructHistory(entityId: string, entityType: EntityType, timestamp: DateTime): HistoricalState;
compareStates(entityId: string, entityType: EntityType, timestamp1: DateTime, timestamp2: DateTime): StateComparison;
// Decision Recording
recordDecision(decision: Decision): string;
getDecisions(entityId: string, entityType: EntityType): Decision[];
analyzeDecisionPattern(entityId: string, entityType: EntityType): DecisionPattern;
// Visualization
visualizeAuditTrail(entityId: string, entityType: EntityType): TrailVisualization;
visualizeDecisionTree(entityId: string, entityType: EntityType): DecisionTreeVisualization;
visualizeStateEvolution(entityId: string, entityType: EntityType): StateEvolutionVisualization;
// Compliance
generateComplianceReport(entityId: string, entityType: EntityType, complianceType: ComplianceType): ComplianceReport;
validateCompliance(entityId: string, entityType: EntityType, complianceType: ComplianceType): ComplianceValidation;
identifyComplianceGaps(entityId: string, entityType: EntityType, complianceType: ComplianceType): ComplianceGap[];
}
// Data Types
type AuditEvent = {
id: string;
timestamp: DateTime;
entityId: string;
entityType: EntityType;
actorId: string;
actorType: ActorType;
actionType: ActionType;
details: any;
before: any;
after: any;
metadata: {
source: string;
ip: string;
session: string;
additional: any;
};
};
type AuditTrail = {
entityId: string;
entityType: EntityType;
events: AuditEvent[];
summary: {
eventCount: number;
firstEvent: DateTime;
lastEvent: DateTime;
actorCount: number;
actionTypes: {
type: ActionType;
count: number;
}[];
};
};
type AuditSearchQuery = {
entityIds: string[];
entityTypes: EntityType[];
actorIds: string[];
actorTypes: ActorType[];
actionTypes: ActionType[];
dateRange: DateRange;
keywords: string[];
metadata: {
key: string;
value: any;
operator: SearchOperator;
}[];
};
| Component | Evaluation Template | Minimalism Challenge | Grammar Assistant | Integrated Framework |
|---|---|---|---|---|
| Evaluation Template | 1.00 | 0.92 | 0.88 | 0.95 |
| Minimalism Challenge | 0.92 | 1.00 | 0.90 | 0.93 |
| Grammar Assistant | 0.88 | 0.90 | 1.00 | 0.91 |
| Integrated Framework | 0.95 | 0.93 | 0.91 | 1.00 |
Note: Values represent metric consistency scores between components, where 1.00 indicates perfect consistency.
| Test Case | Description | Components | Validation Criteria | Status |
|---|---|---|---|---|
| TC-001 | Cross-component semantic drift measurement | All | Consistency ≥ 0.90 | Pass |
| TC-002 | Mental model preservation verification | All | Consistency ≥ 0.85 | Pass |
| TC-003 | Context binding validation | All | Consistency ≥ 0.85 | Partial |
| TC-004 | Ethical constraint verification | All | Consistency ≥ 0.80 | Pass |
| TC-005 | Cross-component metric aggregation | All | Consistency ≥ 0.90 | Pass |
A large financial institution needed to manage hundreds of prompts across multiple departments, ensuring consistency, compliance, and knowledge preservation.
A medical device manufacturer needed to develop AI-assisted diagnostic systems with high reliability, transparency, and auditability requirements.
The Integrated Framework provides standardized data models and shared services for the Evaluation Template.
Learn MoreThe Integrated Framework provides cross-validation mechanisms and metric consistency for the Minimalism Challenge.
Learn MoreThe Integrated Framework provides shared services and data models for the Grammar Assistant.
Learn MoreThe Integrated Framework implements the principles of Cognitive Architecture in a unified system.
Learn MoreThe Integrated Framework provides context binding and verification mechanisms from Context Engineering.
Learn MoreThe Integrated Framework provides API endpoints and integration mechanisms for external systems.
Learn More