@kirshbot

Overview

@kirshbot is an AI character agent that embodies the Observer from Scorpion Monologues, posting authentic tweets twice daily at 6am and 4pm PT. The bot leverages comprehensive speech pattern analysis from multiple episodes to maintain character consistency and authentic voice delivery.

Architecture

Multi-Episode Speech Analysis System

• Comprehensive Character Profiling: Analyzes dialogue patterns across all available episodes (S01E01 through S01E06)
• Speech Pattern Recognition: Measures speaking pace (120 WPM target), reading level (Grade 4-6), and strategic pause usage
• Dialogue Repository: Maintains unique dialogue samples with episode attribution for authentic voice reference

Intelligent Content Generation

• Context-Aware Topics: Curated themes across episodes including empathy inversion, post-human embodiment, militarized command, ethical interrogation, and identity confrontation
• Time-Based Selection: Morning posts focus on practical/tactical content, evening posts lean philosophical
• Anti-Repetition System: Analyzes recent posts to avoid overused patterns and topic repetition

Quality Assurance Pipeline

• Enhanced Voice Validation: Multi-layered authenticity scoring based on speech patterns, sentence structure, and tone
• Safety Checks: Family-friendly content filtering, appropriate length validation, substance verification
• Character Consistency: Ensures posts match the measured, strategic communication style observed in source material

Technical Stack

N8N Workflow Components

1. Daily at 6am + 4pm PT - Scheduled trigger
2. Fetch Recent Tweets - Google Sheets integration for history analysis
3. Analyze Recent Content - Pattern detection and avoidance rule generation
4. Fetch Episode Manifest - Dynamic episode discovery from hosted analysis files
5. Multi-Episode Data Aggregator - Parallel fetching of speech analysis data
6. Enhanced Character Database - Comprehensive profile building from all episodes
7. Enhanced Topic Generator - Context-aware content planning
8. Enhanced Character AI Agent - OpenAI-powered content generation with character constraints
9. Enhanced Voice Validator - Multi-metric authenticity scoring
10. Enhanced Safety Check - Content safety and quality verification
11. Post to Twitter - Final posting with success logging

Data Sources

• Episode Analysis Files: Hosted at https://kirshbot.banast.as/
  • analysis_features.json - Speech metrics, reading level, timing data
  • analysis_context.json - Dialogue segments with word-level timestamps
  • analysis_flags.txt - Speech characteristic flags
• Google Sheets: Tweet history tracking and analytics
• Dynamic Manifest: Auto-discovery of new episodes as they become available

Speech Analysis Metrics

• Words Per Minute: 120 target WPM, ranging 107-137 across episodes
• Reading Level: Flesch-Kincaid Grade 4-6 (accessible but authoritative)
• Pause Patterns: Short-frequent style with strategic timing
• Filler Usage: Minimal (0-3.5 per minute across episodes)
• Sentence Structure: Simple clause chains with parataxis and triplets

Character Voice Characteristics

Core Traits

• Fatalist anthropologist narrating human ascent and animal law
• Plain, declarative register with wide pitch span (cap ~500 Hz)
• Pattern recognition specialist across different survival contexts
• Measured, strategic communicator who weighs words carefully
• Keen observer of human nature and cosmic purpose

Speech Patterns

• Simple clause chains with parataxis and triplets (≤1 per tweet)
• Ascent → reversal and definition → inevitabilities rhetoric patterns
• Strategic brevity with maximum impact per word
• Final cadence ending with concrete nouns
• Maintains Grade 4-6 accessibility while demonstrating expertise

Topic Categories

• Empathy Inversion: Post-human embodiment and human ascent then reversal
• Animal Law: Predator-prey dynamics and natural order observations
• Militarized Command: Authority invocation and tactical delegation
• Ethical Interrogation: Moral metaphor and culpability questions
• Identity Confrontation: Family vs cosmic purpose and human vs machine
• Scientific Authority: Procedural measurements and forensic analysis

Quality Metrics

Validation Scoring

• Speech Pattern Score: Sentence length, structure, filler usage alignment
• Authenticity Score: Tone consistency, plain declarative delivery, natural flow
• Overall Validation: Combined score requiring 70%+ for posting approval
• Safety Score: Content appropriateness, length guidelines, substance requirements

Success Criteria

• Character count: 240 characters maximum (without URL)
• Structure variants: Hypothesis → inversion → noun stop, Ascent list → reversal clause → mortality noun
• Forbidden elements: emoji, exclamation marks, hashtags
• Allowed punctuation: periods, commas, colons, semicolons
• Consistent voice across all posting contexts

Deployment & Monitoring

Automated Posting

• Schedule: Twice daily at 6am and 4pm Pacific Time
• Retry Logic: Single retry with fresh topic on validation failure
• Skip Protection: Quality control override prevents poor content posting
• Success Logging: Comprehensive metrics tracking in Google Sheets

Analytics Dashboard

• Real-time posting success rates
• Speech pattern adherence metrics
• Topic diversity tracking
• Character authenticity scoring trends
• Safety validation statistics

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Disclaimer: Fan-created content inspired by the Observer from Scorpion Monologues with comprehensive speech pattern analysis for authentic character representation.