Fictional farm. Real management logic.

Agentic AI for farming, shown on a farm you can safely inspect.

Fallowbrook Farm is a clean-room teaching farm used to show what happens when livestock records, cash planning, documentation, and AI agents are put into the same operating system. The numbers are fictional. The logic is built to feel real to a working farmer.

North Yorkshire180 acresMixed livestock
Active calves86
Lambs on hand148
Suckler cows12
Silage bales left310
“The bridge between AI capability and farm-level value is functionally free to build in money, not in time.”

Farmers

See how to build a working AI setup around real livestock, forage, and cash pressures.

Supply chain teams

Use Fallowbrook as a model for farmer-facing transparency, decision support, and skills uplift.

Public sector and levy bodies

Understand what scalable farm capability-building can look like in practice, not theory.

Layer 1

The video series

Ten chapters designed to move the viewer from curiosity to a working farm workflow.

01

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End state

Why watch this series and what a farm operating with an agent actually looks like.

02

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Narrow AI vs generative AI

A practical reset on the tools farmers already use and the new category now arriving.

03

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The commodity of intelligence

Claude, Gemini, and ChatGPT in plain language: where they help and where they differ.

04

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Getting AI in the right place

Why local machine access and the CLI matter once you want help with real work.

05

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Arms and legs

The jump from chatbot to agent: filesystem access, tools, installs, and action.

06

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Copy as path

A small workflow change that makes farm context easier to expose to an agent reliably.

07

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Dedicated folders and docs

How persistent context, named files, and maintained notes change the quality of help.

08

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GitHub and Vercel

Version control and deployment as part of the farm operating system, not extra ceremony.

09

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Consistent conversation

Why the agent improves when it lives around the work instead of only visiting occasionally.

10

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OpenClaw

The end-state idea: proactive agentic activity and mobile messaging from the field.

Four layers of depth

From education to implementation

The site is designed to carry visitors deeper without forcing them to sign up or buy software first.

Layer 1Live scaffold

Video lessons

The public teaching surface. Ten chapters show the workflow shift from chatbot use to agentic farm operating.

Layer 2Live preview

Visible knowledge base

Visitors can see how the farm is organised: context, enterprises, financials, status notes, and the live app folders.

Layer 3Next build

API chat

A rate-limited public question box over the fictional farm repo so visitors can experience value without setup friction.

Layer 4Live modules

Apps and dashboards

Operational tools that prove the system can do more than answer questions: it can support decisions and daily rhythm.

Layer 2

The visible knowledge base

The point is not just to tell people that the farm is organised. It is to let them see what “organised” means.

fallowbrook-farm/
├── README.md
├── CONTEXT.md
├── 01-business-overview.md
├── 02-enterprises/
├── 03-financials/
├── 04-metrics/
├── 05-status/
├── 06-analysis/
├── 07-documents/
├── 09-log/
├── scripts/
├── calf-dashboard/
├── lamb-dashboard/
├── cashflow-calendar/
├── farm-control-tower/
├── grazing-planner/
├── mso/
└── site/

Core context

  • README.md
  • CONTEXT.md
  • AGENTS.md
  • MEMORY.md

Farm model

  • 01-business-overview.md
  • 02-enterprises/
  • 03-financials/
  • 05-status/

Reasoning and docs

  • 06-analysis/
  • 07-documents/
  • 09-log/
  • scripts/

Live app surfaces

  • calf-dashboard/
  • lamb-dashboard/
  • cashflow-calendar/
  • farm-control-tower/
  • grazing-planner/
  • mso/
  • site/
Open the read-only structure browser

The public route uses a curated allowlist rather than exposing arbitrary repo contents.

Layer 3

Public API chat

This preview route is now wired for Anthropic and the same public-safe allowlist as the structure browser.

How many calves are active on the farm, and why does winter still constrain growth?
Fallowbrook currently has 86 active calves. Winter remains the binding constraint because the farm is designed backwards from housed forage pressure, not just summer grazing opportunity.
Open the Anthropic chat preview

The public chat is limited to the same curated allowlist used by the structure browser.

Layer 4

Working apps and dashboards

These are the portfolio pieces. They show what happens when the knowledge base is used to build real operating surfaces.

Calf dashboard

Live

Tracks buying, selling, mortality, occupancy, and the economics of quick-turn dairy calf rearing.

Open app

Lamb dashboard

Live

Shows the trading flock flow, draft pressure, margin logic, and seasonal use of summer grass.

Open app

Cashflow calendar

Live

Moves the conversation from livestock records into timing, liquidity, and the discipline of rent and loan cover.

Open app

Control tower

Live

Acts as the Monday cockpit for stock, cash, margin, winter pressure, and the next operational decisions.

Open app

Grazing planner

Live

Turns the winter-pressure narrative into a seasonal grass and carrying-capacity view.

Open app

Dynamic MSO

Live

Stress-tests stocking ambition against grass growth, forage carryover, and bought-in feed risk.

Open app