Lexifina Introduces Word-Level Audit Trail for AI Agents

Summary

Lexifina presents what it describes as a novel combination of features for auditing AI-assisted documents and agent workflows. The system records, for every word, whether it was added by a human or by AI. When AI generated a suggestion, it also records whether a person modified that suggestion or accepted it as initially proposed. It links AI-provided material to the sources cited and preserves specific citation pincites. The audit includes the full agent conversation, all tool calls, and metadata such as the model involved and the complete token composition. It tracks how each paragraph changes from the first document version to the latest version, applying the same human-or-AI attribution and agent-trace records to every revision. For edits produced by a multi-agent swarm, the system also records file locks and interactions between agents that modified the same paragraph. The article points readers to a short video demonstrating the system.