Justinaquino: Created: Audio Learning research-to-TTS tool article with link to citfj repo

2026-08-01T06:15:16Z

Created: Audio Learning research-to-TTS tool article with link to citfj repo

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'''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:

[https://git.comfac-it.net/cgg/audio-learning 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|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)

[[Category:Tools]]
[[Category:AI Agents]]
[[Category:Training]]

Audio Learning - Revision history

Justinaquino: Created: Audio Learning research-to-TTS tool article with link to citfj repo