Conduct

Conduct CLI
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Type
CLI Application
Language
Go
License
MIT
Version
1.0.0
Repository

Conduct is a unified command-line interface for screenplay analysis, coverage generation, model deployment, and production workflow management. It provides professional-grade tools for evaluating screenplays using the industry-standard 16-point rubric while integrating with GPU infrastructure for AI-powered analysis.

Overview

Conduct consolidates multiple specialized CLIs into a single, coherent interface. Rather than switching between different tools for screenplay analysis, model serving, and infrastructure management, users interact with one unified system that handles the full production workflow.

The system is built around the concept of encounters—deep analytical sessions with screenplays that go beyond surface-level coverage to understand the material's commercial viability, artistic merit, and production requirements.

Features

📋

Coverage System

Professional 16-point screenplay analysis using industry-standard rubric with scoring, recommendations, and actionable insights.

🏗️

Model Architecture

Deploy and manage AI models on GPU infrastructure with automatic tensor parallelism and memory optimization.

🎬

Fine-Tuning

Conversational fine-tuning pipeline for customizing models with LoRA adapters and training session management.

GPU Management

Lambda Labs cluster management with real-time monitoring, visualization, and optimization tools.

🧪

Experiments

Run multi-model experiments across screenplays with configurable analysis protocols.

🖥️

TUI Interface

Rich terminal interface with dashboards, progress views, and interactive components.

Installation

From Source

# Clone the repository
git clone https://github.com/AGI-Tooling/Orchestrator.git
cd Conduct

# Build and install
make install

# Or install globally (requires sudo)
make install-global

After installation, both conduct and conduct commands are available.

Core Modules

ModuleCommandDescription
CoveragecoverageScreenplay analysis and professional coverage generation
ArchitectarchitectModel deployment and serving on GPU infrastructure
ProducerproducerFine-tuning pipeline and LoRA adapter management
LambdalambdaLambda Labs GPU cluster management and monitoring
ExperimentexperimentMulti-model experiment management
ScreenplaysscreenplaysScreenplay library management and import
InterfaceinterfaceGPU cluster web interface and control server

Quick Start

Analyze a Screenplay

# Full 16-point coverage analysis
conduct coverage full screenplay.pdf --output-format html --output report.html

# Individual rubric items
conduct coverage logline screenplay.pdf
conduct coverage structure screenplay.pdf
conduct coverage characters screenplay.pdf

Deploy a Model

# View deployment plan
conduct architect plan jamba-1.7-fp8

# Start serving
conduct architect serve jamba-1.7-fp8

See Also

Embedded Documentation

This documentation is embedded in the Conduct binary and served via conduct docs. No external files or internet connection required.