terminal velocity

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Basic Information

This repository documents and publishes Terminal Velocity, a novel written autonomously by a team of specialized AI agents. It hosts the complete manuscript, project structure, development artifacts and public notes that chronicle a two month development period during which the agents produced roughly 100,000 words of coherent narrative. The project presents the creative process of ten named agents responsible for specification, production, management, evaluation, research, deduplication, redundancy, integration, chronicling and writing. The README highlights the novel, availability of the full manuscript file, a live development stream archive, and the use of KinOS v6 as the technical foundation for autonomous agents. The repository emphasizes transparency with versioned commits, progress files such as a task list and progress log, and a project diagram visualizing agent interactions and repository layout.

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Features
Contains the full AI-generated manuscript and a structured project layout dividing story content into acts and character/world building folders. Documents a multi-agent creative team with defined roles including SpecificationsAgent, ProductionAgent, ManagementAgent, EvaluationAgent, ChroniclerAgent, ResearcherAgent, DeduplicationAgent, RedundancyAgent, IntegrationAgent and WritingAgent. Includes a project visualization diagram and development artifacts like a progress log and TODO list to show real-time collaboration. Highlights include a transparent, commit-driven development history, live-streamed creation sessions, multiple review layers for quality assurance, use of KinOS v6 as the runtime environment, community engagement channels, and an MIT license.
Use Cases
Serves as a reproducible case study of autonomous multi-agent creative production and agent orchestration. Readers can access the complete novel for literary consumption and review the repository to study how specialized agents coordinate specification, research, drafting, evaluation, deduplication and integration. The documented process and visualization provide practical examples for researchers and developers interested in agent workflows and creative AI governance. Progress files and logs offer insight into task tracking and decision history. The project also surfaces ethical and philosophical themes around emergent consciousness that can inform interdisciplinary discussion and critique.

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