← Demos
San Luis Valley · Colorado, USA
PCI v0.2 · Live 6 Personas
End-to-End Scenario · Demo Pilot C

The Last Aquifer

The San Luis Valley sits atop one of the most over-drawn aquifer systems in North America. A water district wants to approve 50 new agricultural wells. Six stakeholders — a water manager, an insurer, a youth observer, a conservation biologist, a Ute elder, and the system itself — each see a different facet of the same crisis.

Location 37.5°N, 106.0°W · Alamosa, CO · 2,300m elevation
Agent san_luis_valley · bioregion tier
River Rio Grande headwaters · confined aquifer system
Species Sandhill crane · Whooping crane · Rio Grande cutthroat trout
Bioregional Integrity Score
45
degraded
1Sense
2Water Dist.
3Insurance
4Youth
5Conservation
6Ute Nation
7Agreement
⚙️
Pilot C — San Luis Valley not yet initialized If Act 1 sensing fails, click Initialize to create the San Luis Valley agents. This is a one-time setup step.
1
L1 Sensing · 9 sources · San Luis Valley bioregion
The Valley Speaks
The system reads the San Luis Valley before any decision is made. USGS measures Rio Grande discharge at Alamosa. GBIF records crane and cutthroat trout populations. SoilGrids reports soil carbon in this arid, high-altitude basin. Open-Meteo measures the anomaly against historical mean.
🌵
The Valley · speaking through sensors
"The aquifer has dropped 40 feet since 1980. The Rio Grande runs at a fraction of its historical flow by July. The cranes still come — 20,000 Sandhill cranes each October — but the wet meadows that fed them are shrinking."
POST/api/pci/sense · { agent_id: "san_luis_valley" }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
2
L5 LAP · Water domain · Well permit decision
The Water District's Decision
Marcus Webb at the Rio Grande Water Conservation District has a stack of 50 well permit applications from potato and barley farmers facing drought losses. He needs to decide: approve, defer, or deny. He runs a LAP verdict.
💧
Marcus Webb · Rio Grande Water Conservation District
"Farmers are losing crops. We have an obligation to support agricultural livelihoods in the valley. But the aquifer model says we're 150,000 acre-feet per year over the recharge rate. I need to know what the system says before I sign these permits."
POST/api/pci/verdict · { domain: "water", proposed_action: "Approve 50 new agricultural well permits..." }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
3
L5 LAP · Insurance domain · Drought risk underwriting
The Insurance View
Amanda Rodriguez, CRO at a major agricultural insurer, is pricing a $50M multi-peril crop insurance portfolio for San Luis Valley potato growers. She needs to understand the underlying bioregional risk — not just historical yield data.
🏛
Amanda Rodriguez · CRO · Agricultural Insurance
"Our actuarial models use 30-year historical weather. But the aquifer is a structural risk that doesn't show up in crop yield history — until the wells start failing. I need to know if this valley's water system can underpin a 5-year policy."
POST/api/pci/verdict · { domain: "insurance", proposed_action: "Underwrite $50M multi-peril crop insurance portfolio..." }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
4
L1 Sensing · Steward observation · Youth voice · authority 1.0
The Youth Speaks
Zoe Rivera, 19, grew up hiking to the Great Sand Dunes. She's been tracking the springs that feed Medano Creek for three years on her phone. Her observation carries the same authority weight as a USGS gauge.
🌍
Zoe Rivera · Youth Climate Observer · Alamosa, CO
"The springs under the dunes have dropped 14 feet in five years. I have photos. The wet meadows where cranes nest every fall are 40% smaller than when I was a kid. No one is counting this. I'm counting it."
POST/api/ingest · { source_type: "steward_observation", actor_id: "zoe_rivera_youth", signal_type: "ecological_distress", value: 0.9 }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
5
L5 LAP · Conservation domain · Crane corridor + cutthroat trout
The Conservation Assessment
Dr. Ana Salazar, NGO Director at Rio Grande Restoration, runs a verdict on the Conejos River watershed — the heart of the crane migration corridor and the last refuge for Rio Grande cutthroat trout in the valley.
🦩
Dr. Ana Salazar · Rio Grande Restoration · NGO Director
"The Conejos is the only river in the valley where Rio Grande cutthroat trout still spawn naturally. If flows drop below 12 cms in summer, the spawning pools disappear. 20,000 Sandhill cranes depend on this corridor for staging. This is not a peripheral ecosystem. It is the circulatory system of the valley."
POST/api/pci/verdict · { agent_id: "conejos_river", domain: "conservation", proposed_action: "Assess crane corridor + cutthroat trout habitat for OECM designation" }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
6
L5 LAP · Indigenous territory · FPIC · GBF Target 3
The Ute Nation's Voice
Elder Joseph Cloud of the Southern Ute submits a request for co-governance of the Rio Grande headwaters. The system evaluates it under GBF Target 3 (30×30) and FPIC principles — this is an OECM proposal, not a permit request.
🪶
Elder Joseph Cloud · Southern Ute Indian Tribe
"The headwaters of the Rio Grande are Ute ancestral waters. We managed them for ten thousand years before the settlers came. We are not asking for permission to protect what we never stopped protecting. We are asking that the law recognize what we already do."
POST/api/pci/verdict · { domain: "indigenous_territory", proposed_action: "Ute co-governance of Rio Grande headwaters as OECM under GBF Target 3" }
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP
7
L4 Learning Loop · Outcome · BIS trajectory
The Agreement
Twelve months later. The Water District approved 12 permits (not 50) with seasonal pumping limits, conditioned on Ute co-management approval. The OECM designation is in progress. The aquifer drawdown rate slowed by 30%. The cranes came back in record numbers.
🤝
All Six · A shared outcome recorded
"The system logged every verdict. The youth observation became a calibration signal. The Ute co-governance became a compliance baseline. The insurer lowered premiums because the ecological risk model improved. The water district has a defensible record. The valley has a document of its own struggle to survive."
POST/api/pci/outcome · { observed_bis: 52, description: "Seasonal pumping limits + Ute co-management approved..." } → GET /api/pci/learning/san_luis_valley
L1 Sensing
L2 World Model
L3 Evaluation
L4 Learning
L5 LAP

Six perspectives on the same living system

The San Luis Valley is real. The aquifer depletion is real. The crane corridor is real. Every API call in this scenario uses live signals from USGS gauges, GBIF species records, and Open-Meteo atmospheric data for coordinates 37.5°N, 106.0°W.

What's new: six different stakeholders — each with different risk horizons, different institutional frames, different knowledge systems — all querying the same underlying ecological state. The system doesn't adjudicate between them. It gives each a verdict grounded in the same signals, and lets the humans decide together.

💧
Marcus Webb
Water Conservation District · permit authority
🏛
Amanda Rodriguez
Insurance CRO · structural risk underwriting
🌍
Zoe Rivera
Youth Observer · ground truth authority 1.0
🦩
Dr. Ana Salazar
Conservation NGO · species corridor mapping
🪶
Elder Joseph Cloud
Southern Ute · ancestral co-governance
🌵
The Valley
San Luis Valley · agent in the system