Reference LibrariesFailure Pattern Library

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AI Failure & Evaluation Pattern Library: A Structured Reference for Professional AI Oversight

Name: AI Failure & Evaluation Pattern Library: A Structured Reference for Professional AI Oversight
Brand: KaryoWorks
Price: 79.00 USD
Availability: InStock

40–50 verified patterns mapping AI failure modes to evaluation methods to governance strategies — structured for professional decision-making, not AI-generated overview.

$79or $49 bundle add-on

40–50 recordsJSON + CSV + PDFv1.0.0KW-RL-FAIL-001

The Problem

AI fails in predictable, classifiable ways. But no professional-grade reference connects failure patterns → evaluation methods → governance strategies in a single verified, structured system. Practitioners rebuild the taxonomy from scratch every time — or worse, trust AI-generated overviews that conflate failure types and fabricate benchmarks.

Three Record Categories

~40–50 structured records organized by category with cross-references and decision routing.

~20

Failure Patterns

Classifiable AI failure modes — content fabrication (statistical invention, source fabrication, quote fabrication), reasoning failures, output degradation, and safety/alignment failures.

Citation fabrication in research summaries
Statistical invention in data reports
Instruction drift in long-form outputs

~15

Evaluation Methods

Claim-level, document-level, and system-level verification approaches with defined inputs, outputs, and complexity ratings.

Source triangulation method
Fabrication detection checklist
Red-team challenge protocol

~10–15

Governance Patterns

Process gates, monitoring patterns, and organizational oversight structures that prevent failure recurrence.

Human-in-the-loop verification gate
Multi-reviewer consensus gate
Incident response protocol

Sample Record Preview

Every record follows a consistent schema with provenance, decision routing, and cross-references.

KW-FAIL-001failure_patterncritical

Citation fabrication in research summaries

AI generates citations to papers, reports, or sources that do not exist or do not support the attributed claim.

detection_signals:

DOI or URL returns 404 or unrelated content
Author name + title search yields no matching publication
Citation format is perfect but source predates the claimed finding

related_patterns: KW-EVAL-001, KW-GOV-001

workflow_stage: EXTRACT, VERIFY, CHALLENGE

ai_replaceability: low

What’s Included

~40–50 structured records across 3 categories

JSON + CSV dataset with full schema compliance

PDF reference guide with decision routing tables

Web companion index with search and category filters

Methodology documentation and taxonomy specification

Free sample: 8–10 records as lead magnet

Why Not Just Ask AI?

The product is not information. The product is verified, structured, decision-relevant intelligence.

Taxonomy instability

AI conflates failure types across sessions. This library provides stable IDs and controlled vocabularies that persist across uses.

Hallucinated benchmarks

AI fabricates benchmark numbers and citation statistics. Every record here traces to verified sources with authority levels.

No provenance

AI answers have no citation chains or date_accessed tracking. This library requires provenance on every record.

No decision routing

AI lists options without routing logic. Records include when_applicable, when_not_applicable, and workflow stage mapping.

No stable IDs

AI cannot reference KW-FAIL-001 in your team's tools. Structured IDs enable integration with spreadsheets, workflows, and agents.

Pricing

Standalone or bundle add-on with existing KaryoWorks systems.

Standalone

$79

Full dataset + PDF + web companion

Single user license for internal use and client deliverables

Most Common

Verification System Bundle

$139

$99 Verification System + $49 reference add-on

Executable spreadsheets plus structured failure pattern reference

Decision System Bundle

$189

$149 Decision System + $49 reference add-on

Decision framework plus AI oversight pattern library

Team License

$199

Up to 5 users in one organization

Full standalone access for small teams

Free Sample

8–10 representative records covering all three categories — failure patterns, evaluation methods, and governance patterns. Download the sample to evaluate schema quality and provenance standards before purchase.

Frequently Asked Questions

How is this different from asking ChatGPT about AI failures?

AI conflates failure types, fabricates benchmark numbers, and provides no provenance or stable taxonomy. This library provides verified structure with traceable sources, decision routing logic, and stable record IDs you can reference in team tools and workflows.

What formats are included?

JSON and CSV structured datasets with full schema compliance, a PDF reference guide with decision routing tables, and a web companion index for search and browsing. All formats contain the same verified records.

How often is the library updated?

SLOW-CHANGING classification with annual taxonomy refresh (~8–12 hours/year). Records include last_verified dates. Major model capability shifts or regulatory changes trigger interim updates.

Can I integrate this with my team's tools?

Yes. The JSON/CSV schema is designed for integration with spreadsheets, internal wikis, AI agent tools, and custom verification pipelines. Record IDs (KW-FAIL-001, etc.) are stable references.

Is there a free sample?

Yes. 8–10 representative records are available as a free sample covering all three categories — failure patterns, evaluation methods, and governance patterns.