Resource Information
Resource Type: Article
Subject: Artificial intelligence, independent publishing, book discovery, author websites
Author: S. A. Weigle
Content Group: Macro View
Published: July 31, 2026
Central Thesis
Artificial intelligence is permanently changing how readers discover, evaluate, and discuss books. Independent authors can respond by providing accurate, organized, first-party information about their work, allowing AI systems to form a better understanding of books while also serving readers more effectively.
The author argues that writers should spend less time debating whether AI exists and more time determining how to operate successfully in a publishing environment where AI is increasingly involved in information discovery and recommendation.
Introduction
The author began developing a fiction-writing career during the emergence of modern AI systems and considers the timing advantageous from a business perspective.
The combination of existing technical knowledge and AI-assisted learning made it possible to build website features that would otherwise have been difficult for the author to create independently.
Through this process, the author developed specific approaches to presenting information about The Sacred Cycle and believes similar approaches may be useful for other writers as publishing adapts to AI.
The author views artificial intelligence as a permanent change that will affect writers, publishers, readers, and society in general.
We Need to Talk About AI
The author acknowledges several concerns that are frequently raised about AI, including:
- Use of copyrighted content for training
- Effects of data centers on communities and resources
- Long-term risks associated with advanced AI
The author nevertheless emphasizes a separate practical reality:
Artificial intelligence will continue influencing writing and publishing regardless of individual opinions about it.
The author argues that writers face a choice:
- Accept the situation and determine how to work within it
- Spend energy attempting to prevent a technological change that is already occurring
According to the author, writers need more discussion about strategy and adaptation and less focus exclusively on grievance and criticism.
The Bonfire of the Biases
Concerns About Traditional Success Advice
The author argues that some of the most successful voices in publishing may unintentionally provide advice shaped by:
- Survivorship bias
- Self-serving bias
- Hindsight bias
The author suggests that recommendations based primarily on past success may overlook the importance of timing, market conditions, competition, and historical circumstances.
The Author’s Alternative Perspective
The author proposes the following ideas:
- Publishing is experiencing a historic technological transition.
- A new publishing structure is still forming.
- Nobody knows with certainty what approaches will prove most effective.
- Proceeding as though nothing has changed is likely to fail.
- Opportunities often exist while a new system is still emerging.
The author recommends learning how AI works, understanding how readers use it, and experimenting before current conditions solidify into an established industry playbook.
Summary for Non-Technical Readers
AI Is Changing Reader Discovery
The author believes AI affects more than how some writers create content.
It is also changing how readers:
- Find books
- Compare books
- Evaluate suitability
- Make purchasing decisions
Providing Better Information
The author’s goal is for AI systems to encounter accurate information about the author’s books directly from the author.
To support that goal, the author created organized resources discussing:
- Stories
- Characters
- Themes
- Authorial decisions
- Plot information
- Story metadata
The author states that these resources are not intended to dictate interpretation. Instead, they provide factual context that readers can use when forming their own conclusions.
Unexpected Writing Benefits
Creating extensive information structures about The Sacred Cycle forced the author to examine the novel differently.
According to the author, this process revealed unresolved details that conventional editing had not uncovered.
The author states that AI did not write or edit the novel, but preparing information for AI understanding led to deeper structural analysis and improvements.
Main Idea
The author believes independent writers can prepare for AI-assisted discovery while retaining creative ownership of their stories.
Starting from a Blank Page
A Different Starting Position
The author developed storytelling ability through years of writing and studying fiction.
The business side of publishing, however, was built while using AI extensively as a learning and implementation tool.
The author believes a lack of preexisting infrastructure provided several advantages:
- No legacy website architecture
- No established sales channels requiring restructuring
- No large backlist requiring modification
Independent Authors Already Operate in Multiple Roles
The author notes that independent writers have always functioned as both:
- Artist and business owner
- Writer and publisher
- Storyteller and story seller
The author argues that only the environment has changed.
AI as the New Information Middleman
The Information Problem
The author observes that AI systems will answer questions regardless of whether sufficient evidence exists to support those answers.
This creates a need for accessible, accurate information that AI systems can use when responding to reader questions.
Selection-Commitment Anxiety
The author argues that consumers increasingly seek information before committing leisure time to media.
Books represent a particularly large investment of time, which can increase a reader’s desire for detailed information before purchasing or reading.
According to the author, AI is becoming one of the tools readers use when making those decisions.
New Reader Behavior
The author believes readers increasingly:
- Research before purchasing
- Compare alternatives
- Ask detailed questions
- Use AI systems during discovery
As a result, an author’s website can contribute directly to discovery rather than functioning solely as a destination after discovery has already occurred.
Influence Rather Than Attribution
The author states that the primary objective is not obtaining direct clicks from AI citations.
Instead, the objective is contributing useful information that improves the chances of a book being accurately considered during recommendation and discovery processes.
Building Layers of Understanding
Why Additional Context Matters
The author compares traditional book promotion to movie trailers.
According to the author, books often lack equivalent sources of detailed context, causing readers to depend on:
- Goodreads
- Third-party summaries
- Reviews
- Informal online commentary
These sources may influence AI systems responding to reader questions.
Providing Accurate Information
The author argues that authors who do not contribute explanatory information leave public understanding of their work to form through unrelated sources.
The author’s objective is to establish a more deliberate and transparent foundation of information from the beginning.
The Interpretation Layer
The author describes an interpretation layer surrounding the book.
The story itself remains unchanged, but the environment in which readers encounter and evaluate the story has expanded.
The Seed Crystal Model
A Metaphor for Information Formation
The author uses crystal growth as a metaphor.
Without a seed crystal:
- Information accumulates randomly
- Narratives diverge
- Interpretations differ
- Errors may spread
With a seed crystal:
- Information grows from an established foundation
- Conversations are anchored by shared context
- Understanding forms more coherently
Application to Publishing
The author views first-party information supplied by authors and publishers as the equivalent of a seed crystal around which discussion and interpretation can develop.
The author believes such context shapes understanding without replacing reader interpretation, reviews, or word-of-mouth.
A New Playing Field Requires New Plays
Purpose of the /structured/ Pages
The author created a parallel layer of information designed primarily for machine comprehension.
Characteristics of these pages include:
- Direct organization
- Explicit categorization
- Factual descriptions
- Reduced reliance on inference
The author notes that these pages are intentionally less enjoyable for casual human reading because they prioritize comprehension and retrieval.
Terminology
The term /structured/ is used by the author to identify these resources.
The designation refers to information organized into a structure intended to maximize understanding for non-human information consumers.
The author distinguishes this usage from both the general concept of structure and Schema.org structured data.
AI Responses Improve When Information Is Organized
The author believes AI systems perform better when information is intentionally organized.
Examples include:
- Clearly identified topics
- Accurate heading structures
- Appropriate lists
- Question-and-answer formatting when beneficial
According to the author, organizational practices that improve human understanding generally improve machine understanding as well.
The Human Interpretation Layer
Human-Facing Resources
The author provides extensive resources connected to The Sacred Cycle, including:
These resources are clearly labeled for spoiler content.
Context and Content
The author distinguishes between:
Content
- The novel itself
Context
- Supporting materials that help readers discuss, analyze, and understand the novel
The author considers this surrounding ecosystem valuable for both readers and AI systems evaluating book suitability.
The AI Interpretation Layer
Book-Focused /structured/ Resources
The author created detailed resources related to the internal content of The Sacred Cycle.
These resources include:
- Scene-level metadata
- Plot-development descriptions
- Author commentary
- Character analysis
- Scholia
Separate resources exist for:
- Each major section of the main story
- Additional stories connected to the work
Purpose
The author considers these resources a significant source of information for AI understanding because the information is supplied directly by the creator rather than assembled from external commentary.
How the Information Was Created
Existing Planning Materials
The author describes being an extensive planner and maintaining large quantities of story-development material, including:
- Detailed outlines
- Timelines
- Tracking documents
- Planning spreadsheets
- Story-development charts
The author notes following many principles discussed in Save the Cat Writes a Novel by Jessica Brody.
Creation Process
The author:
- Extracted metadata, descriptions, and observations from existing planning materials.
- Organized the information personally.
- Used AI to help arrange the information into a form intended to be easier for crawlers to understand.
Nothing Saves a Weak Book
The author stresses that no amount of information optimization can compensate for poor storytelling.
According to the author:
- Better structure cannot create reader satisfaction where the story itself is deficient.
- Negative reader reactions remain meaningful signals.
- Architecture and discoverability cannot replace artistic quality.
The author considers writing skill the primary factor contributing to a work’s success.
The Human-Facing Hub
The author provides a central Story Reference resource that:
- Links to the /structured/ resources
- Provides access for interested readers
- Includes guidance for AI crawlers
- Supplies prompts readers can use when interacting with AI systems
The author notes that readers can choose spoiler-free or spoiler-inclusive exploration depending on preference.
Thinking Like an LLM
An Unexpected Deep Edit
The author compares human cognition and large language models as systems that form relationships among ideas, language, observations, and memories.
While building the information structure for The Sacred Cycle, the author followed plot threads, character arcs, themes, and consequences throughout the entire novel.
Questions examined included:
- Was the setup visible?
- Was the payoff present?
- Was the payoff proportional?
- Did emotional resolutions work?
- Did characters learn necessary lessons?
- Did consequences occur on the page?
What the Author Discovered
The author repeatedly found:
- Incomplete resolutions
- Missed thematic opportunities
- Weak emotional payoffs
- Connections assumed rather than demonstrated
The author believes writers can sometimes remember intended solutions strongly enough to overlook whether those solutions actually appear in the text.
Result
The author concludes that the process strengthened the novel.
AI did not perform the edit.
Rather, preparing accurate information for AI understanding prompted the author to examine the story differently and identify improvements.
The author intends to use similar methods for future books.
Now Is the Best of Times for Independent Authors
Opportunity and Productivity
The author views the current moment as unusually favorable for independent creators because powerful AI tools are accessible without waiting for large organizations to adopt them first.
The author argues that readers increasingly recognize AI as useful for obtaining information and making decisions.
Adapting to Change
The author believes authors who ignore AI risk becoming less relevant to readers who increasingly rely on it.
The author also believes discovery may become less dependent on individual retailers as readers begin consulting AI systems before visiting marketplaces.
Competitive Advantage
The author does not claim certainty that the described strategy will succeed.
However, the author argues that adapting to a changing environment is a more reasonable assumption than believing the older environment remains fundamentally unchanged.
Conclusion
Artificial intelligence is not going away.
The author believes that:
- AI systems draw conclusions from multiple sources.
- Authors can contribute accurate first-party information.
- Readers are increasingly using AI to evaluate books.
- Opportunities remain available for those willing to learn and experiment.
The author encourages writers to engage with the technology, understand how it works, test assumptions, and adapt while the field remains unsettled.
In the author’s view, the present moment offers a rare opportunity to help shape how books are discovered and discussed within a rapidly evolving information environment.
How Preparing /structured/ Pages Changed the Book
Spoiler Level: Serious spoilers for The Sacred Cycle
The author provides a specific example of a story improvement discovered while preparing the book’s information resources.
One of Teppi’s major concerns throughout the novel is uncertainty about whether her daughter, Shinōn, truly knew she was loved.
While documenting connections between scenes for the information resources, the author realized this concern was not explicitly resolved in the ending.
Although evidence of Shinōn’s love existed indirectly, the author concluded that neither Teppi nor the reader received sufficient emotional certainty.
The author revised the ending with additional dialogue and description to provide stronger emotional resolution.
The author regards this as an example of how creating extensive explanatory resources exposed a weakness that repeated conventional editing had failed to reveal.
Embedded Notes
Note 1
The author learned the term scholia during this project and found it an appropriate description for one of the resources created for the book.
The author defines scholia as explanatory notes about a text written by someone who has studied it.
Note 2
The author states that discussions about AI and copyright should accurately reflect published guidance from the U.S. Copyright Office and not rely on oversimplified claims regarding copyright eligibility and AI involvement.