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The best place to reach Appalachian Genealogy & History outside the form is on Facebook, where questions and conversations happen regularly. A subscriber community space is also active for monthly subscribers.

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Frequently Asked Questions

The Blog

Some posts are free to all readers. Monthly subscribers also receive subscriber-only posts and issues not available to free readers. Free subscribers have access to the podcast and all YouTube and Facebook content. Monthly subscribers receive everything free subscribers get, plus subscriber-only posts, Resource Library guides published during their active subscription period, subscriber-only chat for record-specific questions and brick wall problems, and the Ancestor Deep Dive. The monthly tier is $15 per month or $144 per year.
The Blog page shows recently published issues. For the full archive going back to the beginning, visit the full blog archive and browse by date or topic.
Substack is simply the platform this blog and membership area run on. It is not a separate site to figure out, just where the blog itself actually lives. Any link on this site that says "on the blog" opens Substack behind the scenes, and your monthly subscription and login work the same way there as anywhere else.
New issues are published on a regular schedule throughout the year. Subscribing to the blog is the best way to be notified the moment a new issue goes out.

Resource Library

The Resource Library includes two types of content: Essential Research Series eBooks, published by Appalachian Press, and issue guides, which are research reference tools tied to specific blog issues. Monthly subscribers receive everything published during their active subscription period.
Your Resource Library access covers guides published from your subscription start date forward. Guides that existed before you joined are not included in your subscription. If you cancel and later resubscribe, access picks up from your new start date. Any guides released during the gap between subscriptions are not retroactively available. If you want access to a specific guide from outside your subscription window, check back as individual guide purchases are coming soon.
Not every issue has a guide. Guides are created for issues where a reference sheet or record guide adds genuine research value. When a guide exists, it is listed in the Resource Library.
Access the Resource Library through your member account. Log in with the email address tied to your monthly subscription and your guides will be waiting for you. If you have trouble logging in or cannot see your guides after logging in, use the contact form on this page and include your email address so the issue can be looked into.

The Podcast

The Appalachian Historical Review podcast is available on Spotify, on Blog, and on the YouTube podcast playlist.
Topic suggestions are always welcome. Use the contact form on this page and select "Blog" or "Podcast" as the topic. Not every suggestion will result in an episode or issue, but all suggestions are read and considered.

Appalachian Press

All currently available titles are listed on The Press page with direct links to purchase on Amazon. Titles are available in paperback and, where noted, as ebooks.
The Essential Research Series eBooks are published by Appalachian Press and are included with a monthly subscription. They are separate from the titles listed for sale on The Press page, which are available for individual purchase on Amazon.

AI Disclosure & Ethical Use

The environment has always mattered to me. I feel a real responsibility to explain the tools I use to bring my research and work to the world, so if you use AI in your own work, please take the time to learn what you are using and how it affects our planet.

AI Disclosure & Ethical Use

I do not use these tools on every episode or every video. I reach for them only when my health requires it, on the days my body will not let me sit through a full recording session the traditional way. When a video or episode uses any assistive technology, the description carries a disclaimer saying so. No disclaimer means no assistive technology was used.

I am a researcher and a writer. My work rests on twenty-eight years of historical expertise and forty years of storytelling. Production has physical limits I cannot always meet, so on the days that catch up with me, I lean on specialized audio and visual tools as a bridge between the work I have already written and the audience waiting to hear it.

Why I Use These Tools

These tools exist for accessibility, not convenience. Traditional recording asks for stamina and a working voice on a schedule, and disability does not run on a schedule. When my body cannot meet a recording studio's demands, these tools carry my finished work across that gap so it still reaches you.

The Human-Led Difference

  • 100% Original Content: I write every word of my research and every story beat myself. Generative AI does not think or write for me.
  • Mechanical vs. Generative: The software narrates text I have already finalized, the way an instrument plays a score someone wrote. It is a targeted accessibility tool, not a content mill.
  • Environmental Intent: Because I do the intellectual work myself, these tools draw far less energy and water than the massive all-in-one AI models straining our resources.

Technology is my delivery system. The heart, the history, and the truth belong to me.

No. Standard AI tools draw heavy power because they run massive, bloated networks trying to memorize the entire internet just to answer a single prompt.

My audio tools run on a leaner setup called Retrieval-Augmented Generation, or RAG. When I paste my script in, the tool does not search some giant power-hungry brain. It reads only the text I gave it, so the carbon footprint stays small.

Not at all. Standard AI works like someone trying to write a script from everything they have ever read in their entire life, and that takes a massive amount of brainpower while still leaving room for hallucinated or wrong facts.

My tool works more like an open-book test. I hand it the script, and it processes only the exact text in front of it, so I get accurate, localized results without the energy bill a giant model demands.

Every time someone runs a prompt on a standard massive AI model, data centers fire up thousands of specialized chips, drawing heavy electricity and water for cooling.

My tools focus only on the script I upload, so they run on a much smaller, optimized framework. That gives me the processing my audio projects need at a fraction of the electricity per request.

Generating brand-new video or images from a text prompt demands immense data center power, since the AI has to build pixels out of thin air. Most of my images and videos are purchased or drawn by me using digital tools.

My tools never do that kind of generation. I upload a finished video, and the tool reads it to overlay text captions, a targeted, analytical process rather than a heavy creative one. Processing a file I already made uses a fraction of the energy that generating AI visuals from scratch would require.

Yes. I provide my own audio scripts, videos, and finished content, so the heavy lifting is mine. The AI acts only as an efficient assistant to format, caption, and polish what I have already made, which keeps the data usage local, the processing fast, and the environmental impact minimal.

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