Articles

The question nobody asks first

An essay on what AI actually needs to know about you, and what happens when it does not. Revision 1. The pillar of a second cluster. See the note at the foot on splitting it.

My 2025 with AI

It was late. The kind of late where the screen is brighter than the room and your eyes start to lie about how much sense a paragraph makes.

The context method

Method document. Revision 1. Six phases, twenty-two steps. What is old here, what is new, and what is unproven are named in the last two sections.

What I've built (the work index)

Alan Hirsch is a category author. Over twenty-five years he has published more than twenty books, and the frameworks inside them are taught in graduate programs, used by large organizations to train their people, and repeated daily by practitioners who could not tell you where the language came from.

Finding AI guidance worth trusting

A discernment guide for mission-driven organizations choosing help in a moment no one has mastered yet. Revision 1. A cluster spoke of There is no such thing as AI safety.

Why five layers, and what I am adding

The field guide walks through five layers and tells you what a complete version of each contains. It does not explain why there are five, what the writing actually accomplishes, or what the guide is still missing.

I started with two people, not a product

Alan and I had a standing call on Sunday nights at seven. We had been doing it for years. One week I asked Brad Brisco to join.

I asked it about wisdom on the first day

Canonical /story. Revision 1. A standing page, not an article. No date, no read-next. The employer is unnamed throughout. Permission items and brackets are listed at the foot.

Newsletter, issue 001

I have been building with these tools since the day ChatGPT came out, and I have never written to anyone about it. That is about to change, so it seems fair to say why it took three and a half years.

What shrewdness actually looks like

Shrewdness is a word about means, and a claim about means that stays abstract is not a claim about anything. So here is exactly what it consists of, for a church, this year. Not principles. The actual content of the competence.

Shrewd as serpents

There is a line in Luke that I have not been able to get out of my head for about two years now.

There is no such thing as AI safety

I sell something called AI safety and I want to argue against it first, because the objection is better than most of the answers given to it. Nobody knows how these systems work.

What changed in your insurance while you were not looking

Three things changed in the last eight months that most churches and nonprofits have not heard about. All three are dated, none of them are predictions, and one of them landed yesterday.

Three years of magic shows

I spent three years teaching AI to leaders, nonprofits, businesses, and churches before a single one of them made a move.

Chapter 3: Where We Are and Why Now

Chapter 13: What to Refuse—and What We Are Free to Do

Chapter 8: Voice Preservation as Priority

Chapter 2 — Two intelligences

The Skill of AI: Why \\'Reskilling\\' Is the Wrong Frame and What to Teach Instead

The Return of Coherent Leadership

The Movemental Thesis

Chapter 7: The Maturity Model and Why Experimentation Matters

The Frontier You Didn't Choose

The Death of Isolated Work

The Cost of Fragmentation: What It Charges Movement Leaders, Churches, Institutions, and Nonprofits

Sandbox Discovery: Where Learning Actually Happens

High-score Movemental articles (EEAT candidates)

Chapter 13 — Information can be structured; formation requires relationship

How Movemental Uses AI

A Guide to AI & Credibility in 2026: How We Are to Live with AI

From Fragmentation to Multiplication: The Missing System Behind Leaders, Churches, and Nonprofits

Chapter 3 — Fragmentation is structural, not a content problem

Credibility in the Age of AI: Why Scenius Is No Longer Optional

How Credibility Works — Video Version (Remotion Animated Explainer)

Core Narrative / Story Flow

Content That Doesn't Move

The AI Stewardship Sequence — Field Guide for Organizational Leaders

Chapter 2: AI Is Not *Merely* a Technological Challenge

How AI Collapses the Cost of Gathering and Integrating What Your Organization Already Knows

The Execution Path

Economic Model & Content Strategy

Chapter 21 — Stewardship: the ethical weight of integrated intelligence

Is $1,000 + 10% the right signal? Pricing psychology, comparables, and honest positioning

Chapter 20: Content That Moves

Gender, diversity, and movement leadership: what the “18%” finding actually implies

Chapter 19: From Gutenberg to Networks of Trust

Chapter 17: AI, Formation, and Leadership

Chapter 16: AI and Content Creation

Chapter 15: Practice Parameters

Chapter 14: What AI Displaces—and What We Protect

Capture, transform, sustain? Repurposing, hour budgets, and what the evidence actually rewards

Chapter 12: Pace and Discernment

Chapter 12 — Formation as the moral stage

Chapter 11: My 2025 with AI

Network effects at bounded scale: can one hundred leaders be “enough”?

Chapter 6: Amplification Not Replacement

Movemental Principles & Values

Content Strategy for Movement Leaders: Building an Informational Layer That Serves the Mission

What We Already Know: The State of the Intellectual Foundation

Preface: The Story

Chapter 10: Transparency, Disclosure, and Trust

Chapter 4 — The moment AI made the tax visible

How Credibility Works: From the Room to the Algorithm

The Convergence

Adaptive leadership and AI adoption: stress-test for Movemental’s thesis (internal synthesis)

Competitive landscape: where Movemental’s comparisons are fair, fuzzy, or fixable

Content fragmentation and leader visibility: how strong is the consolidation thesis?

Chapter 9: Scenius as a Credibility Solution (Carefully Stated)

Formation versus information online: what the learning sciences bless, what they do not prove, and what Movemental should measure next

Chapter 5: AI as Credibility Amplifier, Not Credibility Faker

Do the analogies hold? Movement infrastructure through history

Chapter 1 — The invisible tax

Who Says What an Org Needs: The Real Map of AI Safety Authorities for Nonprofits, Churches, and Institutions

Chapter 1: The Credibility Crisis

Section 1: Research Support & Further Reading

Movemental Research Corpus

Movemental Linking Strategy: EEAT, Best Practices & GEO Playbook

The Credibility Thesis

Authoritative sources: AI, nonprofits, churches, and human formation

Verified AI Research Archive — Studies, Surveys, and Field Experiments

Convergence on trial: four forces, one story, and how honest Movemental can be

Can AI actually sound like you? Voice preservation, fidelity, and honest product language

Trust, verification, and digital identity: what holds up for Movemental’s network thesis?

Expert discoverability in the age of AI search: SEO, GEO, and the limits of heroic individual URLs

Publishing economics, the creator economy, and whether 90/10 is “revolutionary”

Scenius as credibility mechanism: from Brian Eno to network verification

The AI credibility crisis: what the evidence actually supports (internal synthesis)