Zentient Regen · BETA Hackathon 2026
AI co-steward for regenerative coordination. Turns regenerative public-goods ideas into verifiable action plans — with claim discipline, evidence requirements, partner routing, and a 7-day execution path.
The Vision Arc
Scale 1 · Planetary
A planetary-scale biological operating system. Not a building. A coordination layer for living infrastructure.
Scale 2 · Urban
Re-engineering the urban grid into a self-sustaining biome. Energy, water, food, intelligence — woven, not bolted on.
Scale 3 · Replicable Unit
Every planetary biome begins with a single, replicable unit. Zentient Regen is that cell — open-source, copyable, alive.
Scale 4 · Now
Transforming empty urban lots into high-yield food forests. The immediate execution layer. Not aspirational. Already deploying.
Scale 5 · Engine
Raw data → AI worker swarm → structured action. Satellite, soil, grid feeds become precise mapping, resource allocation, localized growth.
Claim Discipline · Rigor over Rhetoric
We generate cryptographic proof plans, verify system state changes, and track biological execution. We do not certify carbon credits, trade impact derivatives, or make overblown climate claims.
Zentient Regen does not certify impact. It creates a proof plan: what must be verified before a regenerative claim should be trusted.
Chapter 1 — What It Does
You describe a regenerative opportunity in plain language — "let's turn an empty lot into a community food forest with solar, compost, and youth programming." The agent returns six structured outputs. Every claim it produces is labeled. Every step it routes is auditable.
Chapter 2 — Try It Now
Describe a regenerative opportunity. Zentient Regen returns a 9-section proof plan with impact map, monetization & Maslow-needs match, evidence checklist, funding fit, a 7-day hire-flow action plan, and route-to-swarm. Reasoning runs on Claude Sonnet 4.6; the regional precedent scan calls Z.AI GLM-5.1 (gracefully stubs offline).
Full system prompt, 10-action sample dataset, worked example, OpenClaw SOUL.md, architecture diagram.
Chapter 3 — Worked Example
A first-cell candidate. Lot-scale (~0.5 acre), 500-household catchment. Pre-feasibility — site, tenure, stakeholder alignment, and funding all unconfirmed. What the bot returns:
"We want to turn an empty lot into a community food forest with solar, compost, and youth programming."
| Day | Action | Owner | Deliverable |
|---|---|---|---|
| 1 | Title search + tax-default status check on lot | Operator + zentient-permit |
1-page status memo |
| 1 | Zoning lookup + community-garden ordinance scan | zentient-permit |
Memo + ordinance excerpt |
| 2 | Cooperative Extension contact — soil-health + Phase I ESA referral | Operator | Email sent + meeting requested |
| 3–4 | Door-to-door survey deployment — aim ≥ 30% household reach | Community organizer + 2 volunteers | Response log |
| 4 | Fiscal sponsor outreach (Earth Island / Tides / local options) | Operator | 3 outreach emails sent |
| 6 | Solar feasibility pre-screen — PVWatts + utility consult | zentient-PTO |
Pre-screen memo |
| 7 | Week-1 retrospective + Week-2 plan | Operator + zentient-regen |
Updated proof plan |
invoke_skill("zentient-permit", "research_zoning", { lot_address, jurisdiction })invoke_skill("zentient-google", "create_calendar_event", { stakeholder_meeting_topic, attendees })invoke_skill("zentient-field", "schedule_site_visit", { lot_address, baseline_observations })invoke_skill("zentient-PTO", "solar_pre_screen", { lot_address, lot_size_sqft })ask_superorganism("similar food-forest projects in [region] last 3 years")Full output: classification, partner-fit grant programs, top risks, claim labels glossary, GLM regional precedent scan — examples/proof-plan-01.md →
Chapter 4 — Why This Matters
Public-goods coordination has well-studied failure modes. Zentient Regen is infrastructure to address them.
Chapter 5 — Architecture
The bot drafts and routes. Humans decide. The agent does not autonomously commit funding, sign contracts, or execute on real-world projects. Output is structured for human review, refinement, and execution.
Chapter 6 — Open-Core Boundary
The repository is a real, runnable, useful demo engine — sufficient to evaluate the proof-plan method and to deploy basic regenerative-opportunity workflows. The full commercial product carries the proprietary IP that distinguishes operator deployments.
SOUL.mdBorn at
Zentient and Zentient Regen are reserved marks of Alvaro Cabal. Open-source code is licensed under Apache 2.0. Proprietary substrate — sacred-dynamics, Maslow-Myer matching, Sentient Habitat orchestration — is the intellectual property of Alvaro Cabal / Zentient and available under commercial license.