Self Publishing Show Live 2026
How to Work
With an (AI) Agent
...and why you probably want to.
Michael Stewart, Sudowrite
Full disclosure
I built this deck with my AI agent.
The ideas are mine. The words are mine. The HTML is his. The workflow was collaborative.
But first
Unpacking "Author"
(Your Actual Job Description)
Marketer
Manager
But why?
It's not a question of talent.
No one can do it all.
Not perfectly, at least. And not without help. But you will have to make decisions about these things, even when the decision is "This is not the best use of my time."
Consider
What can you hand off?
Work only you can own
Your creative decision making. Things like taste, voice, canon, ethics, emotional truth, reader promise, and final approval. But also, things that are precious to you.
Work you don't need to drive
The things that inform your process or get you unstuck. Research, summaries, checklists, comparisons, edits, cleanup passes, asset drafts, calendar math. Anything you might pay someone else to do.
Make your own list.
Circle what must stay yours. Mark what a trusted assistant could reasonably do. That second list is where agents get interesting.
Basically
What would you be willing to hand off to a human assistant?
Important caveat
"Agent" is a squishy term.
(But then, so is AI.)
Every product you use right now is adding an "agent" of its own, but some of these are really just chatbots.
The important question is not what the company calls it. The important question is:
Can it do the things you need fairly autonomously?
A Very Brief History
From autocomplete to agents
Autocomplete
Suggests the next word.
Chatbot
Responds to what you ask.
Assistant
Helps complete a task.
Agent
Understands a goal, plans steps, uses context, and helps move work forward.
Right now
The combined tool landscape
Writing and publishing tools
Tools built to support the creative process in particular. Fiction-aware workflows, manuscript context, story bibles, drafting, revision, and writing-adjacent support.
General AI assistants
Your chatbots are great for research and planning. Brainstorming, summarizing, drafting copy, analyzing text, making plans, and working with uploaded files.
Automation tools
Repetitive admin, notifications, publishing operations, and moving data between the tools you already use.
Agent frameworks
Also known as "harnesses," these multi-tools are super capable AI-powered blank slates, intended to be personalized. They work across Maker, Marketer, and Manager domains. They may or may not have an interface, and can typically even use the tools mentioned above.
Right now
The combined tool landscape
Writing and publishing tools
Tools built to support the creative process in particular. Fiction-aware workflows, manuscript context, story bibles, drafting, revision, and writing-adjacent support.
General AI assistants
Your chatbots are great for research and planning. Brainstorming, summarizing, drafting copy, analyzing text, making plans, and working with uploaded files.
Automation tools
Repetitive admin, notifications, publishing operations, and moving data between the tools you already use.
Agent frameworks
Also known as "harnesses," these multi-tools are super capable AI-powered blank slates, intended to be personalized. They work across Maker, Marketer, and Manager domains. They may or may not have an interface, and can typically even use the tools mentioned above.
Useful differentiators
What makes an agent different?
(via browser, CLI, or otherwise)
Chatbots wait for instructions.
Agents don't. They can work while you sleep.
Durable workflows
Custom skills turn instructions into muscle memory.
Pressure-test an idea
Challenge assumptions, ask sharper questions, and find weak spots before readers do.
Complete any task
Tell the agent to do something finite and it will keep at it till it's done.
Protect continuity
Compare a scene or plan against the story facts, series promises, and open threads.
Reuse the playbook
Apply your preferred launch checklist, voice, constraints, and approval rules.
A skill is a reusable way to tell the agent how you like to work.
get the most from ai agents
No matter which agent you'd like to work with, in order to do its best work an agent needs context.
Telling the agent who you are, what you write, and how you work is key.
You need this
The Author Context File
A whole bunch of context you have in your brain (and on your hard drive) that can help the agent help you.
Context turns agentic AI systems into true collaborators.
Minimum viable memory
What goes inside?
Author identity
What you write, who you write for, genres, tropes, promises, and what your work should never feel like.
Creative preferences
Drafting style, feedback style, sacred boundaries, and what kind of help you usually reject.
Books and series
Pen names, current projects, character/world details, timelines, comp titles, and reader expectations.
Voice and brand
Sample newsletter, sample blurb, sample scene, tone preferences, words you use, words you hate.
Business context
KU or wide, publishing cadence, launch process, newsletter cadence, ad comfort, revenue goals.
Agent rules
What it may draft, what it must ask before doing, what it should never do, and what good looks like.
Then what
Here's what that lets you do.
The agent can be pretty helpful once it's primed with some vitals.
Maker support Examples
Need an assist on the creative admin?
Continuity & Series Memory
"I'm writing book four and am losing the thread. I need a better way to track the details."
- Summarize prior books
- Extract character and worldbuilding details
- Audit your work and flag contradictions
- Maintain a series bible
- Create "remember before drafting" briefs
Beta Feedback Synthesis
"I got beta feedback, and I'm not sure how/whether to action it."
- Analyze and group feedback by theme
- Evaluate substance, separating taste from repeated issues
- Identify high-priority revision areas
- Turn messy notes into a revision plan
- Generate scene-level tasks
Agent as a writing assistant, facilitating the creative process and surfacing possible issues for the author.
Marketer support Examples
Need help with the whole "write to market" thing?
Positioning & Blurb Assistant
"I know what my book is, but not how to explain it to readers."
- Identify reader promise
- Evaluate the existing market comps
- Draft retailer description, newsletter pitch, ad hooks, and social captions
- Adapt tone by target audience
Launch Campaign Assistant
"My book launches in six weeks and I am already behind."
- Build launch calendar
- Identify missing assets
- Draft emails and ARC reminders
- Repurpose copy across platforms
- Flag missing decisions
Agent as a marketing assistant, using (simulated) domain expertise and doing vital research work.
Manager support examples
The worst part of being your own boss is the admin.
Publishing Operations Assistant
"I am terrified I will miss something."
- Create production checklist
- Track down platform requirements
- Build a backward calendar
- Turn vendor emails into tasks
- Prepare handoff notes
Backlist Audit Work
"I have old books underperforming, and I do not know where to start."
- Review metadata
- Suggest refresh priorities
- Create a maintenance calendar
- Compare books by opportunity
- Surface stale assets
Agent as an operator: handling (or automating) structured, repetitive, and easy to postpone tasks for you.
Audience moment
Agents are powerful. You don't have to choose. But it helps to have a /goal in mind.
Maker
"I am stuck in the work itself."
Drafting, revision, feedback, continuity, creative decisions.Marketer
"I struggle to connect the work to readers."
Blurbs, ads, newsletter, launch, positioning, visibility.Manager
"I am drowning in the business and logistics."
Deadlines, platforms, contractors, files, money, operations.Your agent should not feel like "yet another" tool.
It should allow you to personally drive fewer tools yourself.
Demo
Creating a Story (or Series) Bible
Give context
Upload or paste series notes, prior summaries, and the new scene.
Ask for a brief
"Before drafting this scene, what should I remember?"
Evaluate the scene
Ask it to flag contradictions, unresolved threads, and canon questions.
Why this matters now
The tools will get easier.
You do not have to predict which agent wins. Prepare your author business so any good agent can understand it.
When you get home
Run one small agent experiment.
- Pick an agent to experiment with.Choose the tool that best matches the bottleneck you named.
- Prime it with your author context.Give it your project, voice, goals, constraints, and rules.
- Pick one tedious task.Not "fix my career." Something specific enough to delegate.
- Evaluate the results.Judge usefulness, accuracy, voice fit, and whether it reduced effort.
- Close the loop.Tell it what worked, what missed, and how it should improve next time.
Closing thought
Don't set out to build the agent of your dreams.
Prime the pump, point it at a problem, and iterate.
Thanks!