aiwg
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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."
}
}