The Human Movement
Confidential Strategy Document
The Human Project · 501(c)(4)

How to Build
The Human Movement

A capture engine, a petition machine, and a decentralized organizing infrastructure — built with AI, powered by people.

The capture engine

From Viral Video to
Movement Infrastructure

A four-stage capture and deployment strategy that turns content into signatures, signatures into communities, and communities into power.

Stage 01 — Ignite

Viral Content Engine

Short-form video engineered for emotional resonance. Each piece is designed around a specific Human Movement demand — so every view is a pre-qualified lead entering a themed funnel.

TikTok / Reels / Shorts 45-90 sec format Predictive analytics
Example
👁 8.4M impressions
▶️ 2.4M views
🔗 142K link clicks
17,243
signatures and counting
Stage 02 — Capture

Decoupled Capture Architecture

Video links to a custom HTML/React landing page with hidden UTM parameters baked into the URL — source video, topic, campaign. Whether someone signs a petition, completes a quiz, swipes a pulse poll, or taps through a challenge card, the page fires a direct secure INSERT via JS API into Supabase — no middleware, no Zapier.

Supabase (Postgres with row-level security) is the owned system of record. A database trigger on new user creation fires Make.com, which pushes only the contact and segment tag to MailerLite for the standard 5-email drip. A separate database function watches zip code counts — when a threshold is met, it pushes a "threshold_met" tag and WhatsApp link back through Make.com to MailerLite. The master database never touches a third-party email client.

Retool provides the internal team dashboard — secure read-only access to signer data, threshold alerts, and manual actions like creating local pod WhatsApp links.

Supabase (Postgres + RLS) Direct JS API insert Make.com automation MailerLite Retool dashboard
🎬
Social Video
Click + UTMs
⟨/⟩
Landing Page
Form / Quiz
Direct JS API Insert
🔒
Supabase
Postgres · RLS · Real-time
Users Table Events Table
DB Trigger
Threshold Alert
Make.com
Automation logic
📊
Retool
Team dashboard
Contact + Tag only
📬
MailerLite
5-email drip · Pod alerts
Not just petitions.
High-completion interactive pages that double as data collection.
📊 Pulse Polls — swipe this or that
🧬 Find Your Type quiz
🔥 Knowledge quiz with streaks
💬 Live Q&A with one-tap questions
Challenge cards

Every swipe, every answer, every completion is a behavioral signal feeding the intelligence layer. All route through the same capture architecture.

Stage 03 — Nurture

Segmented Drip Sequences

Each signer enters an automated email journey tailored to what they care about. Signed the children's safety petition? They get a 5-email sequence on that issue, escalating from awareness to local action.

Open rates and engagement data feed back into the platform — telling you which messages move people to the next level of commitment.

Automated journeys Topic-specific Engagement scoring Feedback loop
Stage 04 — Decentralize

Self-Organizing Chapters

A Supabase database function watches zip code counts in real time. When a cluster crosses the threshold, it pushes a "threshold_met" tag through Make.com to MailerLite, which delivers a single message: "87 people near you signed. You're not alone. Want to meet them?" — with a WhatsApp link to their local pod.

At 50 signers, an awareness email. At 100, the full chapter starter kit — talking points, a first-meeting agenda, shared identity assets. At 250, a regional coordinator invitation. Each threshold is a different database function watching the same count. The movement builds itself.

Supabase threshold triggers Escalation ladder Chapter playbook Public chapter map
The predictive engine

Analytics tells you what happened.
This tells you what will happen.

A proprietary content prediction model trained on thousands of pieces of advocacy content with behavioral outcome data attached. Not engagement. Not views. Action.

Raw Content
Concepts · Hooks · Narratives
Unscored · Unranked
Prediction
Model
Precision Signal
Conversion · Geo · Audience
Produce more of this
The difference between analytics and intelligence is the difference between a rearview mirror and a map.
Fifteen years of editorial judgment, encoded as training signal
See it in action

This is what a petition looks like

AI-coded in minutes. Warm, human, beautiful. Scroll down to experience the example — including zip code capture for the chapter trigger.

A petition for our collective future

The Human
Movement

We are at an inflection point. The choices made today about artificial intelligence will shape human life for generations. This is our moment to ensure that technology serves humanity.

Add Your Name

The systems being built today will
define what it means to be human tomorrow.

🤝

Relationships, Community & Values

As AI becomes integrated in our personal lives and mediates our communications, this technology will reshape our relationships, our communities, and our social norms.

⚒️

Work, Dignity & Meaning

The automation of human labor upends career trajectories, threatening not only our livelihoods, but our deepest life stories and the sense of purpose found through work.

🌐

Breakdown of Shared Understanding

AI-generated content and algorithm-driven filter bubbles risk fracturing our shared sense of reality, fueling distrust, polarization, and a loss of confidence in what's true.

🔗

Loss of Control

As we deploy increasingly powerful, inscrutable, and autonomous AI systems, we risk losing our collective ability to maintain meaningful human control over our economic and geopolitical systems.

We demand a future built
for people, not on top of them.

  1. 01

    Responsible Development with Human Thriving as the Standard

    AI must be developed responsibly, with human thriving treated as paramount to any deployment decision.

  2. 02

    Protect Our Children

    Children must be shielded from AI systems that put them in danger — whether through exploitation, manipulation, or erosion of their safety.

  3. 03

    Defend the Dignity of Work

    Governments must design legislation that protects the dignity of work — ensuring displacement is met with safeguards and economic justice.

  4. 04

    International Agreements Against Weaponized Intelligence

    Nations must establish binding agreements that prevent the weaponization of artificial intelligence — before an arms race outpaces diplomacy.

  5. 05

    Transparency & Accountability by Design

    AI companies must disclose how their systems work, what data they use, and who they impact — with independent oversight as the standard.

  6. 06

    Democratic Governance of AI

    The people most affected by AI must have a seat at the table where decisions are made.

Add Your Name

17,243
people have signed — be next.
17,243 signed Goal: 50,000
Team budget & compensation

The team that builds the engine

Talent-first compensation engineered for speed and model quality. Every role maps directly to the capture pipeline.

Role Monthly Annual
Founder
Jonathan Hiller — Executive Director
$36,000
$432,000
ML Track
ML Lead Engineer
$18,000
$216,000
Data Pipeline Engineer
$12,000
$144,000
Annotation Coordinator
$6,500
$78,000
Content Track
Content Director
$13,000
$156,000
Senior Video Creator
$8,500
$102,000
Mid-Level Video Creator
$6,000
$72,000
Flex Video Creator
$3,000
$36,000
Editor / Post Production
$7,500
$90,000
Distribution Strategist
$7,000
$84,000
Digital Organizing Manager
$9,000
$108,000
Influencer Partners
Paid Spend — Model Training & Persuasion
$65,000
$780,000
Influencer Partners (avg all tiers)
$12,000
$144,000
Operations
Compute + Infrastructure
$6,000
$72,000
Tools / Legal / Admin / Back Office
$17,000
$204,000
Travel
$14,000
$168,000
Subtotal
$240,500
$2,886,000
10% Contingency
$24,050
$288,600
Total Monthly Burn
$264,550
Total Annual Burn
$3,174,600
12-month output

What this team produces

Year one deliverables at full operational capacity.

1,000
Videos
Produced
~20/week
150
Landing Pages
Deployed
~10 per petition
15
Targeted
Petitions
Issue-specific
250
Email
Campaigns
Drip + broadcast
300M+
Projected
Impressions
Paid + organic
Jonathan Hiller
Jonathan Hiller
Founder & Executive Director

Award-winning content strategist and filmmaker whose work has generated over 4 billion impressions across digital platforms. 15 years of translating complex issues into emotional narratives that drive public action — from presidential campaigns to Fortune 500 brands to grassroots movements.

Former Director of Content for RFK 2024. Filmmaker on the Hillary Clinton 2016 campaign. Founder of Hiller Visual, with clients including Comcast, Nestlé Purina, and CNN. Psychology degree from The College of Wooster with honors research on mindfulness and frontal lobe function.

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