Narrative and Neural Nets
Narrative and Neural Nets is a blog series by Michelle Jamesina that works through the hard questions at the intersection of AI, influence, and strategic communication. Part explainer, part field notes, part playbook—this series explores how to control the narrative, work smarter with AI, and stay sharp in a world that’s moving fast.
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Frequently Asked Questions
Our series aims to bridge the gap between traditional storytelling and modern AI advancements. We delve into how AI is reshaping narratives and what this means for content creators and strategists.
Who is this blog for?
Anyone interested in how AI intersects with influence, messaging, and strategic thinking. Whether you’re a founder, consultant, creative, or just AI-curious, this series is designed to meet you where you are.
Do I need a tech background to follow along?
Not at all. While I dig into some technical territory, I always bring it back to real-world applications. If you can follow a business case or a good debate, you’ll be right at home.
What kinds of topics do you cover?
Expect a mix of explainers, live case studies, experiments, and frameworks—especially around AI tools and how to interact with them, automation strategy, narrative control, and negotiation dynamics in fast-moving environments.
How often do you publish new posts?
I don’t follow a fixed schedule (on purpose), but I aim for depth over frequency. My posts are often inspired by what I’m working on, though, and I’m always working on something. If you want to stay in the loop, join the email list or follow me on LinkedIn.
Can I share or reference your posts?
Absolutely. Just link back and credit appropriately. If you’re building on or remixing the ideas, I’d love to see what you come up with.
Why “Narrative and Neural Nets”?
The name is a nod to two kinds of systems: the ones we build to control the story, and the ones we train to make decisions.
“Narrative” reflects my focus on how we craft, shape, and assert control over meaning—whether through messaging, negotiation, or broader influence strategies.
“Neural nets” refers to the machine learning models behind today’s AI tools. “Neural nets” refers to the machine learning models behind today’s most powerful AI tools. They’re designed to learn from data by identifying patterns and making predictions
This series explores three things: how people use narrative to influence outcomes, how we can use narrative to influence AI tools, and how neural networks are changing the playing field.