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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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{ "$schema": "https://json-schema.org/draft/2020-12/schema", "title": "AIWG Writing Validation Scoring Configuration", "description": "Weights and thresholds for writing validation scoring. Adjust these to tune detection sensitivity.", "version": "1.0.0", "authenticity": { "humanMarkerWeight": { "value": 10, "description": "Points added per human marker found (personal statements, specific metrics, trade-off acknowledgments)" }, "aiTellPenalty": { "value": 15, "description": "Points deducted per AI tell found (buzzwords, formulaic transitions, excessive hedging)" }, "baseScore": { "value": 30, "description": "Starting authenticity score before marker/tell adjustments. Provides a baseline so content isn't penalized to zero immediately." } }, "issueScoring": { "criticalPenalty": { "value": 10, "description": "Points deducted per critical issue (banned phrases, severe AI patterns)" }, "warningPenalty": { "value": 3, "description": "Points deducted per warning-level issue (minor patterns, style concerns)" }, "aiPatternMultiplier": { "value": 0.5, "description": "Multiplier for AI pattern score impact on overall score. Lower = less impact from pattern density." }, "aiPatternNormalizer": { "value": 20, "description": "Normalizer for AI pattern density calculation: (patternCount / (wordCount/100)) * normalizer. Higher = stricter." } }, "voiceDetection": { "mixedVoiceThreshold": { "value": 1.5, "description": "Ratio threshold for voice detection. If top voice score is not 1.5x higher than second, classify as 'mixed'." }, "defaultMixedConfidence": { "value": 50, "description": "Confidence percentage assigned when voice is classified as 'mixed'." }, "markerWeights": { "strong": { "value": 3, "description": "Points per strong voice marker match (distinctive phrases, key terminology)" }, "moderate": { "value": 2, "description": "Points per moderate voice marker match (tone indicators, common patterns)" }, "weak": { "value": 1, "description": "Points per weak voice marker match (general style hints)" } } }, "thresholds": { "passScore": { "value": 70, "description": "Minimum overall score to pass validation" }, "lowScoreWarning": { "value": 50, "description": "Score below which to show low-score warnings" }, "highAIPatternWarning": { "value": 30, "description": "AI pattern score above which to suggest reducing AI patterns" } }, "_notes": { "tuning": "Higher penalties = stricter detection. Start with defaults and adjust based on false positive/negative rates.", "rationale": "These defaults were established through iterative testing. The 10/15 human/AI weights create ~1.5x penalty for AI tells vs reward for human markers, reflecting that AI patterns are easier to produce accidentally." } }