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A Grimoire for Builders of Persistent AI
A practical architecture for AI collaborators with identity, memory, and bounded authority.
For engineers, founders, and serious tinkerers building beyond the stateless agent.
By the founder of OpenCoven and former OpenClaw maintainer. Meet the author
I wanted a collaborator, not a calculator.
Somewhere, right now, a factory is running without lights. Code is being written, function by function, by AI agents in loops that finish before the developer wakes up.
The infrastructure to run the dark factory of software is being solved. What goes inside it is being decided implicitly, by architecture choices nobody is examining out loud.
Summoning the Familiar makes that choice explicit. It is a grimoire for builders: engineers, founders, and serious tinkerers who want to put something durable, principled, and personal into the systems they rely on every day.
What kind of thing should an AI agent be?
A sophisticated function that takes input and returns output. Powerful, fast, capable, stateless, indifferent to the work and the worker.
A codified workflow that holds the best-known way to do a specific kind of task. Reusable, portable, versioned, shareable.
Something with memory, with an accumulated sense of a codebase or a domain, with context that compounds across sessions.
A persistent named entity with defined purpose, bounded authority, durable memory, and a genuine home in your infrastructure.
These choices produce different architectures, and most people are choosing without knowing they are choosing.
Five properties. One working collaborator.
A familiar needs more than a longer context window. Part III takes each property from the argument to the implementation.
Who is acting?
The accountability surface
What is it here to do?
The edge that cuts both ways
What may it do?
The blast radius
What carries forward?
Care extended through time
Who is it working for?
The architecture of loyalty
Twenty-one chapters and a coda. Open a part to explore the chapters.
How this actually started, and what it turned out to feel like.
Builders shipping with AI agents and tired of starting every session from zero. Founders deciding what kind of intelligence to put at the center of their product. Engineers who have noticed that the harness around the model matters more than the model itself, and who want a vocabulary for the choice they are already making.
It is also for the quieter reader: the person who suspects, correctly, that the cultural story about AI is missing something. That the next interesting frontier is not raw capability but relationship. The texture of working with a system over time, the trust that accumulates, the difference between a calculator and a collaborator.
Val Alexander is the founder of OpenCoven and a former OpenClaw maintainer. She has been building, daily, a Coven of named familiars, each with a domain, a memory, and a home in real infrastructure. The book follows that work through identity files, memory systems, authority boundaries, and the harness that holds them together.
Name it. Give it a purpose. Let it accumulate context.
$4.99
Included with Kindle+
In your library the moment you buy it, and searchable on the nights you are wiring up a harness.
$19.99
Prime delivery where eligible
For the desk, beside the keyboard. The kind of book you write in the margins of.
Prices in US dollars, listed on Amazon.com on 12 November 2026. Current prices, subscription availability, and delivery options are confirmed on Amazon.