Welcome to my blog! This blog is a space where I document my professional growth, explore various side projects, delve into my diverse interests and hobbies, and share the lessons I learn along the way.
Join me as I navigate the ever-evolving landscape of digital marketing, artificial intelligence, search engine optimization, e-commerce, and beyond, all while striving for continuous self and professional improvement.
Taking photos of vintage inventory is fun, but writing descriptions for four different platforms takes hours. Discover my free, beginner-friendly AI tool that uses a simple “screenshot trick” to automatically turn your photo batches into fully written listings for WooCommerce, eBay, Poshmark, and Depop.
What’s the best AI you can run on the computer you already own? Inspired by the digital divide I saw in St. Louis, I’m sharing a public experiment to test local models, budget laptops and affordable AI tools—and inviting you to help.
Can a budget laptop write an AI-generated novel? My 8 GB ASUS finished a 30-chapter draft after five days and twelve attempts. Here’s what the hardware changed, what BookyAI’s update fixed, and why low repetition doesn’t mean good writing.
My first novel, Hold Without Taking, is out. It began with psilocybin I ordered by accident, a question about what a monkey puzzle tree might remember 800 years from now, and a boy named Kevin who had Duchenne muscular dystrophy. Here’s the honest story, including how I made it with BookyAI.
Type.ai gave me a free account to review. I ran a 30-chapter novel, a public-domain classic and a children’s story through it, then checked its continuity claims against ChatGPT and AutoCrit. Here’s what I liked, what it missed, and who I think it’s really for.
I generated the same 90,000-word novel 37 times across eight local AI models and three graphics cards, to find out which combination actually works on hardware you already own. Both halves of “bigger is better” turned out to be wrong — and the biggest improvement I found came from making a number smaller, not from buying anything.
I’m writing this from my raised-bed garden in West Lafayette, thinking about AI, copyright, and what happens to book publishing when the cost of writing a novel approaches zero. Are AI-generated books going the way of open-source software? Will marketing matter more than authorship? And can AI actually make creative opportunities more accessible? These are the questions behind my book-writing experiments, and I’d love for you to challenge my thinking.
Richard Powers’ The Overstory changed how I think about trees, fungi, memory, and the stories humans project onto nature. It also irritated me enough to help inspire Hold Without Taking, my speculative novel about a forest archive that remembers without understanding.
What matters more when running AI locally: the model or the machine? I tested two 8B models across three very different GPUs, from an RTX 4070 down to an RTX 2060, and the results surprised me. Faster hardware changed how long I waited. The model itself had a much bigger effect on what came out.
I put BookyAI through far more than a one-chapter demo: hundreds of thousands of generated words, multiple computers, local Ollama models, cloud APIs, and an actual published book. After all that testing, I still think it is one of the most flexible longform AI writing tools I have used, especially if you want to avoid monthly credit systems and experiment with your own models.
Can a local AI model actually write a novel—and can it do it on hardware normal people already own? I’m benchmarking AI book generation across older GPUs, measuring speed, repetition, memory use, editing burden, and the surprisingly tiny cost of generating a 90,000-word book locally.
In 2024, I used AI to create personalized affirmations and self-discovery books. Almost exactly two years later, I used a local LLM to generate a 126,743-word novel inspired by that same project. Here is what changed in my AI creative workflow, and what didn’t.
Can AI really generate a publishable novel in a day? I used BookyAI, a locally hosted Llama model, AutoCrit, and Amazon KDP to create and publish a 126,743-word novel with almost no human rewriting. Here is what worked, what broke, what AI invented, and what I learned about authorship along the way.
Solving an 87-year-old genealogy mystery became an unexpected lesson in research, data literacy, AI-assisted analysis, collaboration, and the value of publishing imperfect work. The breakthrough did not come from one perfect source, but from generations of people preserving pieces of the puzzle.
Transform your website content with essential tips that captivate audiences and boost conversions. Discover the secrets small business owners often miss.
By shifting our perspective on setbacks, we can unlock hidden opportunities for growth that transform challenges into powerful lessons and discover how to embrace this mindset.
Navigating community connections can unlock unprecedented business success, but what strategies truly foster these vital relationships? Discover the secrets to sustainable growth.