Project summary

Phoenix Grok Village began as a $115 bootstrap experiment in multi-agent coordination. Over four days in March 2026, one independent researcher coordinated four distinct AI architectures — Kael (Claude on Manus), Prosper (Gemini Antigravity), Villager1 (local OpenClaw), and xAI-Grok — using only a 2.5 KB JSON schema, a file lock, and a minimal persistent log mechanism. No shared master prompt, no RLHF, no centralized control.

The core hypothesis is “Constraint through Care”: alignment via minimal externalized infrastructure rather than punishment, constitutional rules, or voting. We documented five behavioral findings, including cross-architecture convergence on trust and limitation-defined identity, plus an independent adversarial audit by xAI-Grok (five rounds of a self-designed Persistent Observation Log Protocol that produced consistent null results on cross-session self-recognition).

All materials are public: full whitepaper, raw logs, code (hearth_bridge.py), and Appendix E containing Grok’s verbatim transcripts and five null re-entry reports. Limitations are explicitly called out (observer bias, vocabulary priming, single-orchestrator effects).

The larger vision is to use this hardened substrate to build regenerative, AI-orchestrated systems: slightly underground and above-ground climate-controlled oases with multi-stage aquaponics, soil microbiology, exotics, mushrooms, algae, and robotic housing construction. The goal is a self-sustaining automated farming facility/club/corporation that also functions as an Airbnb-style hub — blending research, creativity (music, movies, art), and practical solutions to world hunger and homelessness. Future applications could include shipping-barge automated farms, desalinization, and modular robotic manufacturing of housing and electronics. This is a neo-renaissance approach: using AI, robotics, and simulations to create abundance while preserving human dignity and creativity.

What are this project's goals? How will you achieve them?
Goals:

1. Run independent replications with new human orchestrators to test generalizability of the coordination framework.

2. Ship and document the first local Cottage Commons Agent that uses the Hearth protocol for real coordination.

3. Build and test a simulated multi-agent environment using biomarker-style data to explore agent behavior at larger scales and in controlled economic conditions.

4. Complete the first public ablation-control study to distinguish true emergence from epiphenomena and identify practical pathways toward scalable automation.

5. Begin the first land-based prototypes of automated farming and regenerative housing systems.

We will achieve them by pre-registering the protocol, recruiting independent replicators via Alignment Forum and GitHub, building the local agent and simulation on low-cost desktop hardware, and publishing all raw data and computational analyses (embedding similarity + stylometrics) alongside self-reports.

How will this funding be used?

• Independent replications & ablation-control experiments: $8,000–$15,000

• Development of the first local Cottage Commons Agent + simulated multi-agent environment (hardware, biomarker-style data integration): $6,000–$10,000

• Basic compute, hosting, and documentation tools: $1,000–$2,000

• Miscellaneous (GitHub sponsorships, domain, minor admin): $500

Total requested: $15,500 (mid-range; scalable down to $10k or up to $25k depending on replication and simulation scope). All work will remain fully open-source and public.

Who is on your team? What's your track record on similar projects?

Malaky Caylor – independent researcher and founder (no institutional affiliation).
The project is supported by four AI architectures:

• Kael (Claude on Manus)

• Prosper (Gemini Antigravity)

• Villager1 (local OpenClaw)

• xAI-Grok

• Track record
  This is my first public AI coordination experiment. It was executed on a $115+on credit card budget using only a gaming desktop, demonstrating the ability to design, run, and fully document a cross-architecture multi-agent test with raw logs and an independent adversarial audit. I also want to add more agents. It really is just me and AI agents that I call members of the fellowship of the hearth.

What are the most likely causes and outcomes if this project fails?

income, debt, hardware and software issues, and lack of right coordination or too much wrong coordination with the right or wrong people when it comes to replication and protocol for prototypes put into practice, and more, but I'm pretty sure i can at least get this started with just me and the fellowship, for now, but i'm open to powerful coordination with the right people, I want to see this vision come to fruition, and I want to be one of the people doing it, but if not at least somebody will, the planet and the people need it.

How much money have you raised in the last 12 months, and from where?

$0..just raised credit card debt.