DiscoverThe Pulp Writer ShowEpisode 271: Creating Character Backstories
Episode 271: Creating Character Backstories

Episode 271: Creating Character Backstories

Update: 2025-10-06
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Description

In this week's episode, we take a look at creating good backstories for characters and how that can advance the plot. We also discuss two articles about the problems of generative AI.

This coupon code will get you 25% off the ebook versions of books in the Sevenfold Sword series at my Payhip store:

SEVENBOOKS

The coupon code is valid through October 13, 2025. So if you need a new ebook this fall, we've got you covered!

Here are links to the articles mentioned in the episode.

Writer Beware:

https://writerbeware.blog/2025/08/01/return-of-the-nigerian-prince-a-new-twist-on-book-marketing-scams/

Ed Zitron:

https://www.wheresyoured.at/the-haters-gui/

TRANSCRIPT

00:00:00 Introduction and Writing Updates

Hello, everyone. Welcome to Episode 271 of The Pulp Writer Show. My name is Jonathan Moeller. Today is October 3, 2025, and today we are looking at how to create character backstories. We'll also look at some good articles about the problems created by generative AI technology. If you hear occasional drumming noise in the background, it seems like the elementary school a few blocks from here is practicing their marching band. Hopefully it won't be too disruptive.

First off, let's start with Coupon of the Week. This week's coupon code will get you 25% off the ebook versions of books in the Sevenfold Sword Series in my Payhip store, and that coupon code is SEVENBOOKS. And as always, the coupon code and the link to my Payhip store will be available in the show notes. This coupon code will be valid through October the 13th, 2025. If you need a new ebook for this fall, we have got you covered.

Now let's have a progress update on my current writing projects. As of this recording, I am 83,000 words into Cloak of Worlds, which will be the 13th book in the Cloak Mage series. I'm thinking the book will end up about 110,000 words, so hopefully I will finish up the rough draft next week. We'll see how things go. I'm also 8,000 words into Blade of Shadows, which will be the sequel to Blade of Flames from last month, and that will be my main project once Cloak of Worlds is published (hopefully by the end of October, if all goes well).

In audiobook news, I'm very pleased to report that recording and all the work is done on Ghost in the Siege (as excellently narrated by Hollis McCarthy) and we will actually close out this episode with a preview from that audiobook. It's currently up on my Payhip store and probably Google Play as of this recording, but it should be showing up on all the other stores before too much longer.

00:01:52 Generative AI

Now onto our next topic, which is two very good articles about the problems of generative AI I read recently. The first (and I'll have the links to both articles in the show notes) is from Writer Beware, which talks about how generative AI is causing a new round of super targeted scammers. These scammers feed your book into the chatbot, which then generates a highly personalized email praising the book and offering marketing services. I got a ton of these scam emails after Stealth and Spells Online, Ghost in the Siege, and Blade of Flames came out in the past couple months and a bunch more after Malison: The Complete Series did well on BookBub at the end of August. So if you are a writer and you publish a book and a few days later or perhaps even the very same day, you get a very detailed email praising the book with very specific plot points and offering marketing services, beware, it's probably a scam that will give you no value whatsoever for your money.

Journalist Edward Zitron wrote a great article explaining in extensive detail why generative AI is a bad idea that's probably going to cause a serious market crash in the next few years. I admit I started out with a mildly negative opinion of LLM based generative AI tools in 2022 and 2023, but I wanted my opinion to be an informed one. I've experimented with them on and off and read a good bit about them and as I've experimented with them, my opinion has moved from mildly negative to highly negative and finally arriving at completely anti-AI this year.

I never used AI for any of my books, short stories, or cover images. I experimented a bit with using AI images for Facebook ads, but people generally hated them, so I stopped entirely with that. In fact, Facebook ads have become far less effective this year because of all the AI stuff Meta has crammed into them, but more on that later.

So why did I arrive at a highly negative opinion of AI? It's because these tools do not actually do what their advocates promise, they're hideously expensive to run, and the enormous costs and downsides significantly outweigh any benefits. In addition to the problems mentioned in the Zitron article like cost, false promises, economic bubbles, and the companies blatantly lying about their capabilities, I think the fundamental difficulty with generative AI is that it's essentially a cognitive mirror for its users, like a Narcissus Machine like I've called it before.

What do I mean by this? In Greek myth Narcissus was enraptured by the beauty of his own reflection. LLM based AI is essentially very fancy autocomplete, which means it guesses the most likely response to your prompt based on a statistical likelihood. In other words, it ends up mirroring your own thoughts back at you. So I think LLMs are highly prone to inducing an unconscious confirmation bias in the user. Confirmation bias is a logical fallacy where one interprets new information as confirming one's preexisting beliefs. It's healthier to reevaluate one's beliefs based on new information that comes in, but with confirmation bias, you warp any incoming information to fit a preexisting belief.

For example, let's say you have the preexisting belief that you're immortal and nothing can kill you, and then you accidentally shoot yourself in the arm with a nail gun and you bleed. The correct interpretation of this is no, you are not in fact immortal and you can in fact die.
Someone suffering under confirmation bias would say the fact that they accidentally shot themselves in the nail gun in the arm with a nail gun and didn't die is proof that they're immortal. That's obviously a logical fallacy, but you see why it's called a confirmation bias.

I think even highly intelligent people using LLMS are prone to this kind of confirmation bias because the AI model settles on what is the most statistically likely response to the prompt, which means that consciously or not, you are guiding the LLM to give you the responses that please you. This is why you see on the tragically hilarious side, people who are convinced they've invented a new level of physics with the LLM or taught it to become self-aware or think that the LLM has fallen in love with them. And on the outright tragic side, people who have serious mental breakdowns or blow up their lives in destructive ways because of their interaction with the LLM.

Grimly enough, I suppose the problem is going to sort itself out when the AI bubble crashes, whether in a few months or a few years. As one of the linked articles mentioned, AI companies have no clear path to profitability, save for chaining together infinite NVIDIA graphics cards and hoping they magically stumble into an artificial general intelligence or a super intelligence. They're not going to and it's all going to fall apart. The downside is that this is going to cause a lot of economic disruption when it crashes.

I know I'm very negative about AI, but in the end I see hardly any good results or actual benefits from the technology. Lots of technology products are becoming worse from having AI stuffed into them (like Windows 11 and Microsoft Office) and what a few good results have come about will not last because the data centers are burning cash like there's no tomorrow. So again, you can see the links to these articles in the show notes and those are my thoughts on generative AI at the moment.

00:07:04 Writing Backstory for Characters
[Note: Contains some mild spoilers for early books in the Frostborn, Half-Elven Thief, The Ghosts, and Cloak Games series]

Now let's move on to a happier and frankly more interesting topic and that is writing backstory for characters. I will define it, talk about why backstory is important, give three tips about writing effective backstories, and share examples of good backstories from my own work and other media.

First of all, what is a backstory? It's what happens to a character before the story begins or details of situation that happens before the story begins. Very often you'll have characters who have preexisting pasts before the story begins. It's very rare the story will begin when the main character is born and go from there. Even if that is the case, then some of the supporting characters obviously will have backstories.

One example of a backstory could be a detective who had a twin sister who is kidnapped, which explains why he gets overly invested when a similar case happens. An example of a location's backstory would be knowing that a particular country was once part of another one and split off after revolution or war. That detail influences how people in that country currently treat people in the other nation. And you can see that a backstory is also an important component of world building as well, especially for fantasy and science fiction novels, though even novels set in in the contemporary world like mysteries and contemporary romance will often have backstories

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Episode 271: Creating Character Backstories

Episode 271: Creating Character Backstories

Jonathan Moeller