Audio Learning

Template:New article banner Audio Learning is the practice of converting research, articles, notes, and study material into scripts written to be listened to rather than read. It is a shared Comfac tool maintained as a private Forgejo repository and designed for staff who consume technical material hands-free — commuting, walking, between machines on the plant floor.

What it is

Written prose and spoken prose are different mediums. A reader can re-read a sentence, skim a heading, and hold structure visually. A listener gets one linear pass with no backtracking. Audio Learning provides the discipline to re-compose research for the ear.

The repository contains a skill for AI agents (research-to-tts) that converts knowledge into one of two house formats:

Lecture format (Great Courses style)

For technical study — networking, protocols, CISM/CISSP, security architecture, governance frameworks, systems engineering, ISO standards. The listener walks away understanding a mechanism they did not understand before. Useful for Comfac training material: Network+ basics, pfSense operations, BIR compliance, ERPNext workflows.

Analyst format (thesis-and-evidence style)

For contested material — energy markets, housing policy, supply-chain economics, regulatory analysis, industry studies. The listener walks away able to make or defend a decision. Useful for bid analysis, feasibility studies, vendor evaluations, and competitive intelligence.

What it contains

• Concrete prose mechanics — how to speak numbers, acronyms, symbols, citations, code, and homographs so a text-to-speech engine renders them correctly
• Format templates — cold-open structures, spine metaphors, prerequisite ordering, decision frames, thesis stacking, approach ladders, and tripwire indicators
• Visual description protocols — a two-pass method for turning charts, diagrams, tables, and maps into something a listener can build a mental model of
• A pre-delivery audit — ten checks every script must pass before it is spoken

Where it lives

The source repository is private on the Comfac Forgejo:

cgg/audio-learning

How to use it

An AI agent loads the skill, reads the reference files, picks a format, plans an outline from the source material, drafts a script with spoken prose only (no markdown, no symbols, no parentheticals), and audits the result before delivering it. The output is a plain-text script with a non-spoken production header and a clean spoken body — ready to be fed into any text-to-speech engine.

Related

• GPU Scaling and AI Research Goals — Comfac's model-evaluation infrastructure
• Open Source Software Analysis — tool evaluation methodology
• Resume / CV Renamer Pipeline — OCR-to-searchable pipeline (same ingestion-to-structured-output pattern)