Internal Quality Assurance & Production Modeling

GEV CleanScore AI: The Slate's Technical Gatekeeper

CleanScore AI is the mandatory initial filter for all GEV-owned and partnered Intellectual Property (IP). Its function is to quantify technical compliance and pacing optimization at scale, ensuring every script across the 100-Film slate is production-ready before committing capital to the deeper V-Score analysis and development pipeline.

Critical Internal Vetting Tool.

This page provides a deep-dive on the strategic use of CleanScore AI for GEV leadership, development, and production teams.

CleanScore's Mandate: Risk Mitigation & Efficiency

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Prevent Format Errors

Automated flagging of errors that impede production software (e.g., Final Draft/Movie Magic).

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Budget Modeling Accuracy

Ensures technical elements align with accurate budgeting algorithms for the GEV Cost Predictor AI.

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Pacing Optimization

Quantifies scene rhythm to flag scripts for developmental review based on data-driven engagement metrics.

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V-Score Prerequisite

Scripts must achieve a minimum CleanScore rating (e.g., 95%) to proceed to the intensive V-Score analysis.

Deep Dive: CleanScore AI's Four Pillars of Vetting

Pillar I

Technical Format Compliance & Parsing

CleanScore's core function is to ensure 100% technical fidelity to industry standards. A technically flawless script is directly convertible into production scheduling software, dramatically cutting down pre-production time and budget. The system flags discrepancies that would require manual re-formatting.

  • Slugline Structure: Verification of `INT./EXT.`, location, and time of day (`DAY/NIGHT`) for scene inventory creation.
  • Character Element Consistency: Checks for correct capitalization, clear parenthetical use, and standardized dual-dialogue formatting.
  • Metadata Extraction: Accurate page count, word count, and element breakdown are auto-extracted for subsequent AI tools (e.g., Budget Predictor).
  • Action Block Integrity: Automated check for Action Block separation between new characters and sluglines.

Compliance Scorecard (Sample Output)

Slugline Compliance Rate: 98.5%
Character Element Errors: 24 detected (High Priority)
Dialogue Spacing Uniformity: 100%

CleanScore translates formatting into quantifiable, actionable metrics for the production team.

Pillar II

Pacing and Sequence Flow Diagnostics

The Pacing Diagnostics module analyzes the rhythmic energy of the narrative. It identifies areas where the script lags or rushes prematurely, providing a data-driven basis for creative notes before a script is greenlit for full development.

  • Action Block Density: Flags "Tombstones" (excessively long action paragraphs) and "Wall of Text" dialogue, indicating readability and production challenges.
  • Scene Length Variance (SLV): Measures the standard deviation of scene lengths. High variance can signal jarring, inefficient transitions.
  • Dialogue-to-Action Ratio (DAR): Calculates the percentage balance across the script's three acts, ensuring a genre-appropriate flow (e.g., lower DAR for thrillers, higher for dramas).
  • Character Introduction Rate: Tracks how many new characters are introduced per act, flagging potential cast overcrowding issues.

Sequence Flow Visualizer (Act II Data)

Visualizing scene density spikes (red highlights) for targeted developmental intervention.

Pillar III

Production Readiness Score (PRS)

CleanScore synthesizes technical compliance and pacing diagnostics into a single Production Readiness Score (PRS). This score is a key metric for GEV's greenlight committee, quantifying the script's efficiency for the production pipeline.

  • Threshold Requirement: Scripts must achieve a PRS of 95% or higher to proceed to the intensive and capital-heavy V-Score analysis.
  • Automated Redlining: Scripts below the PRS threshold are automatically returned to the development team with an AI-generated *Redline Report* detailing all required technical fixes.
  • Efficiency Metric: A high PRS indicates a script that requires minimal production design cleanup, translating directly into schedule and budget savings.
96% PRS Score

Project 'Alpha' Status: CLEARED FOR V-SCORE ANALYSIS

Target PRS is 95%. Project 'Alpha' proceeds directly to Pillar IV.

Pillar IV

Integration into the GEV Data Pipeline

CleanScore is not a standalone tool; it is the data acquisition layer for the subsequent GEV AI systems. Its accurate technical parsing ensures the integrity of the data fed into high-level strategic models.

  • Budget Predictor AI: Scene breakdowns, character counts, and location designations parsed by CleanScore are the inputs for the GEV Budget Predictor.
  • V-Score Analysis: Only 'Clean' scripts are used for V-Score, preventing formatting noise from corrupting the creative/financial analysis.
  • Compliance Portal: The technical audit trail from CleanScore is archived in the GEV Compliance Portal for due diligence with co-production partners and investors.
  • Development Notes: CleanScore reports directly feed into the `Script Doctor AI` for targeted, efficiency-focused creative notes.

GEV Pipeline Flow

1. Script Ingestion
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2. CleanScore AI (Vetting)
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3. PRS Gate (>95%?)
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4. V-Score Analysis

CleanScore acts as the first checkpoint, ensuring all downstream processes operate on standardized, clean data.

Strategic Value: Speed & Scale

By automating the complex, time-consuming technical vetting process, CleanScore AI allows GEV to evaluate scripts at the speed and scale required to manage our ambitious 100-Film slate. It is the engine of our IP standardization, transforming creative assets into quantifiable, investment-ready production models.

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