Skip to main content

Resources

The teaching materials, in the open.

Guides, canvases, worksheets, checklists, and the glossary behind every Crate South program. All public, all printable, all designed to be used — in your classroom, your workshop, or your own planning.

The printed kit

Four documents. Print them, mark them up, run the room.

The same artifacts used in every workshop — ready to print on any office printer, no account, no GitHub, no strings. This is the whole method on paper.

01

From Prompt to System — Field Guide

The full introductory guide: sixteen chapters of practical method, worksheets, and checklists for moving from an AI idea to a responsible working system.

Read chapters 1–3 first, then teach straight from it — every chapter ends in an exercise.

Download the PDF
02

The Applied AI System Canvas

A one-page planning sheet covering problem, people, workflow, AI jobs, approvals, boundaries, and measurement. The core workshop artifact.

Print one per team; fill every box in pencil — empty boxes are the to-do list.

Download the PDF
03

Build Worksheet

Step-by-step questions that take a team from a named problem to a mapped, bounded, measurable system design.

Work through it in order during a session; pairs with the canvas as the detailed backup.

Download the PDF
04

Responsible-Use Checklist

The pre-launch checklist: approvals in place, boundaries written, safeguards tested, evidence plan ready, cost known.

Run it before any system goes live — and again after the first real week.

Download the PDF

Library

Download and use.

Guide

From Prompt to System — Field Guide

The full introductory guide: sixteen chapters of practical method, worksheets, and checklists for moving from an AI idea to a responsible working system.

How to use it: Read chapters 1–3 first, then teach straight from it — every chapter ends in an exercise.

Download the PDF

Source in repository: ebook/FROM_PROMPT_TO_SYSTEM.md

Format: PDF download + Markdown source

Canvas

The Applied AI System Canvas

A one-page planning sheet covering problem, people, workflow, AI jobs, approvals, boundaries, and measurement. The core workshop artifact.

How to use it: Print one per team; fill every box in pencil — empty boxes are the to-do list.

Download the PDF

Source in repository: templates/SYSTEM_CANVAS.md

Format: PDF download + Markdown source

Worksheet

Build Worksheet

Step-by-step questions that take a team from a named problem to a mapped, bounded, measurable system design.

How to use it: Work through it in order during a session; pairs with the canvas as the detailed backup.

Download the PDF

Source in repository: templates/BUILD_WORKSHEET.md

Format: PDF download + Markdown source

Checklist

Responsible-Use Checklist

The pre-launch checklist: approvals in place, boundaries written, safeguards tested, evidence plan ready, cost known.

How to use it: Run it before any system goes live — and again after the first real week.

Download the PDF

Source in repository: templates/RESPONSIBLE_USE_CHECKLIST.md

Format: PDF download + Markdown source

Deck

Master Presentation Deck

The 22-slide presentation with full speaker notes, plus 10-, 30-, and 60-minute delivery plans.

Source in repository: presentation/CRATE_SOUTH_EDUCATION_MASTER_DECK.md

Format: Markdown with speaker notes

Reference

Glossary of Applied AI Terms

Plain-language definitions of the twenty terms used across all Crate South Education materials.

Source in repository: content — also available on this site under Resources

Format: Web + Markdown

Worksheet

Pre/Post Learner Survey

The confidence-and-capability survey used before and after every program to measure real learning, not applause.

Source in repository: impact/PRE_POST_SURVEY.md

Format: Markdown, printable

Worksheet

Workshop Feedback Form

The end-of-session feedback instrument: what landed, what confused, what participants intend to do next.

Source in repository: impact/WORKSHOP_FEEDBACK.md

Format: Markdown, printable

Coming as work completes: learner project showcases, recorded session examples, and additional translated materials. These placeholders will be replaced only with real artifacts.

For self-learners

Turn the field guide into a finished course.

Sixteen chapters, one discipline. Check them off as you go — your progress stays on this device, and finishing the path means you have mapped, built, and measured a real system.

Your self-guided path

0 of 16 chapters

0%

Progress is saved in this browser only — no account, no tracking. Chapter order follows the field guide, available above.

Glossary

Twenty terms, plain language.

The shared vocabulary used across all Crate South Education materials. If a term shows up in a workshop, it's defined here.

Applied AI
Using AI tools to do specific, checkable jobs inside a real workflow — as opposed to experimenting with chatbots in the abstract.
Approval gate
A designed step where a named human must review and approve before the system acts.
Auditability
The property of a system that lets you reconstruct what happened: inputs, decisions, approvals, actions, and outputs.
Baseline
A measurement taken before a system exists, used later to judge whether the system actually helped.
Boundary
A written rule about what a system must never do — say, decide, send, spend, or store.
Cost per action
What one completed automated action costs in tooling, usage fees, and human review time.
Decision point
A moment in a workflow where a choice changes what happens next.
Evidence
Records kept at each stage — statements, maps, logs, approvals, metrics — that let others understand and trust the system.
Fallback
The plan for what happens when an AI step fails, times out, or produces unusable output.
Human-in-the-loop
A system design where humans review, approve, or decide at defined points rather than ceding the whole workflow to automation.
Input
Anything a system receives to work with: messages, forms, calls, documents, records.
Knowledge base
The owned, maintained reference material a system draws on — prices, policies, schedules, answers.
Never-list
The written list of things a system must never do, paired with the safeguards that enforce it.
Operator
The person who runs a system day to day: reviewing, approving, correcting, and maintaining it.
Output
What a system produces for people: replies, summaries, bookings, reports.
Prototype
A cheap, fast version of a workflow — often on paper — used to test the design before building.
Safeguard
A mechanism that enforces a boundary: spending caps, blocked topics, escalation triggers, kill switches.
System canvas
A one-page planning sheet covering problem, people, workflow, AI jobs, approvals, boundaries, and measurement.
Trigger
The event that starts a workflow: a missed call, a submitted form, a date arriving.
Workflow
The ordered steps from trigger to outcome, including who or what does each step.

Want these taught live?

Every resource on this page lands harder with facilitation. Bring a workshop to your classroom, staff, or community group.