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ZAIXOS Agent Learning Dataset — Enterprise Certification Report

Date: 2026-07-05
Phase: Enterprise Learning Dataset Platform
Architecture impact: Additive — no PL-003/004/005/006 redesign

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Executive summary

The Learning Dataset Platform extends the Benchmark infrastructure into a permanent, platform-owned ground-truth asset with human-supervised ingestion, PL-004 analysis bridge, phrase clustering, synthetic generation, analytics, and enterprise CLI tooling.

Part	Deliverable	Status
1	Learning Dataset schema	✅ ai_learning_dataset_records
2	Production import pipeline	✅ AgentLearningProductionImporter
3	Failure mining	✅ AgentLearningFailureMiningService + PL-004 bridge
4	Phrase clustering	✅ Intent-based AgentLearningPhraseClusterer
5	Multi-source traceability	✅ AgentLearningDatasetSource enum
6	Synthetic generator	✅ Review-queue only
7	Learning analytics	✅ AgentLearningAnalyticsService
8	Enterprise workflow	✅ Approval service + audit log
9	Governance	✅ Platform authority, human gate
10	CLI ai:dataset:*	✅ 8 commands

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Compliance matrix

Constraint	Status
No PL-003 redesign	✅ Reuses existing benchmark pipeline
No new runtime/planner/orchestrator	✅ Evaluation + storage only
No PL-007/008/009	✅ Not introduced
Additive only	✅ New Application/Learning/ namespace
Not runtime memory / RAG / chat history	✅ Separate tables + isolation tests
Human approval mandatory	✅ pending_review → --approve
PL-004 analyzes, never auto-modifies	✅ Recommendations stored as pending_approval
Products don't own dataset	✅ authority: platform
Benchmark phrases not in runtime	✅ Isolation tests

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Database assets

Table	Purpose
ai_learning_dataset_records	Approved ground truth
ai_learning_dataset_candidates	Pre-approval queue
ai_learning_phrase_clusters	Intent clusters (eval only)
ai_learning_phrase_cluster_members	Cluster phrase members
ai_learning_dataset_audit_log	Version audit trail
ai_learning_pl004_recommendations	PL-004 recommendations

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PL-004 integration status

Item	Status
Pl004LearningAnalysisBridge	✅ Implemented
Delegates to ZIP when composer package present	✅ class_exists check
Stores recommendations locally when unwired	✅
Full ZIP ObservationIngestService wiring	⚠️ Requires zaixos/intelligence-platform in product composer

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Verification

php artisan migrate
php artisan ai:dataset:import --seed
php artisan ai:dataset:statistics
php artisan ai:dataset:benchmark --sync
php artisan test app/Modules/AI/Tests/Unit/AgentLearningDatasetTest.php

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Certification statement

Infrastructure: CERTIFIED — Learning Dataset platform is complete, governance-compliant, and human-supervised.

Production learning loop: OPERATIONAL — Import → review → approve → benchmark workflow is ready.

PL-004 full delegation: CONDITIONAL — Wire zaixos/intelligence-platform composer dependency for live pattern mining against ZIP PatternMiningEngine.

Quality baseline: Run php artisan ai:dataset:benchmark --sync after each approved dataset update to track improvement/regression trends.