Work out whether it is true, and what follows from it.
61 things you can learn to do, across 27 classes,
with 200.2 hours of recording and 779 exercises behind them.
Each one is a verb aimed at a claim: locate it in its primary source, cost it in
tokens, falsify it with a benchmark, or hold it against another claim that
contradicts it and merge the two without averaging them.
The smallest version of one thing you learn here. Change any number that is wrong
for you — they are all editable, because prices and rates move.
Order 9 · segment text into tokens and cost it
Count the tokens, then count the money.
Most people find out what their model habit costs from a bill. The capability is
being able to work it out first, from the text you are actually sending — and then
to change the text.
Tokens are counted on what you send; what the model sends back is billed separately
and usually costs more per token. Words per token is the English rule of thumb —
code and other languages run denser, so change it.
Taught properly in
Context Engineering, Control AI Spending, Critical Thinking and Creativity with AI.
$57.60a month, at that rate every day
Tokens per call5,333
Share of the context window2.7%
Tokens a day639,960
Everything you could walk out able to do
You start by locating one claim. Five rungs up you reconcile two that disagree.
Locate a claim in its primary source.Falsify a prompt with a
benchmark.Reconcile two operating agreements into one team. Those are
three of the 61 below, and they are not the same size of thing:
locating sits on the bottom row, falsifying three rows up, reconciling near the top.
Every square is a group of them, placed by the verb it asks of you and how far up the
climb it sits.
Click any square to read what is in it: the thing itself, the proof it takes before
anybody says you have it, the class that teaches it and when that class next runs.
Any of those classes can be taken on its own.
locate
run
produce
operate
transform
characterise
classify
generalise
parameterise
justify
verify
falsify
measure
design
synthesise
arbitrate
13Metasystematic
12Systematic
11Formal
10Abstract
9Concrete
8Primary
Down the side: how far up the climb, hardest at the top. Across the top: the verb it asks of you.1 thing13 things you can learn
Showing locate. Click any square to read what sits there.
locate
rung 8 · Primary · 4 to learn here
Find the thing and say where it is. No claim about whether it holds.
8locate a claim in its primary source
Proof: A claim traced to its source with the section named, including one case where the source turned out to be weaker than the claim made from it.
Data Activism: Turn Data Into Power · next Sep 14Critical Thinking and Creativity with AI · next Sep 11Research & Activism · every week
8locate the devices a passage uses on you
Proof: One passage you like with at least five devices marked in the text, each named, and each tied to the reaction it produced in you.
Critical Thinking and Creativity with AI · next Sep 11
8locate the standard that governs a system you are building
Proof: One system, the governing instrument named, and the specific requirement it places on you.
AI Security: Governance, Standards and Safety Cases
8name an audience and its success criterion
Proof: A written audience statement naming who they are, what they are trying to do, and the observable event that means it worked.
Data Activism: Turn Data Into Power · next Sep 14Practical Propaganda · next Sep 19Founding Federation: Smallest Sellable Thing
run
rung 8 · Primary · 1 to learn here
Execute a given procedure and read the result off it.
8run a model analysis against a hand check
Proof: The dataset, the model's analysis, and your own computation of one figure alongside it, agreeing or with the discrepancy explained.
Data Activism: Turn Data Into Power · next Sep 14
produce
rung 9 · Concrete · 13 to learn here
Make an artifact that did not exist, to a stated standard.
9produce a budget for work whose timeline you have observed
Proof: The completion gate answered out loud, and either a budget built on an observed timeline or a scoped first run with a defined end and a showable output.
Founding Federation: Price and Ideate (Week 0)Founding Federation: Build With Your Heart First
9produce a function whose result depends on program state
Proof: The function, two call sites that do not know about each other, and two runs of the same call producing different results with the state that caused each difference named.
The Interactive Fiction Intensive · next Aug 29
9produce a list of where untrusted input enters a system
Proof: An enumerated list against a real codebase or system, including one entry point that is not an obvious form field.
Agentic SDLC · next Sep 7Blue Team Common CertificationAgentic AI Security: Securing What You Build
9produce a rubric a model can apply
Proof: The rubric plus two independent gradings of the same three outputs, with the scores side by side.
Prompt EngineeringAI Alignment · next Sep 25Custom GPTsCritical Thinking and Creativity with AI · next Sep 11
9produce a threat model for your own situation
Proof: Your own tier model, naming the adversary and capability at each tier, with the specific practice each tier changes.
Field Opsec
9produce an account of an audiences current workaround
Proof: Three accounts in the audience's own words naming the tool or habit they use now, and the moment in it that costs them something.
Founding Federation: Smallest Sellable Thing
9produce an account of the gap between ideals and operating values
Proof: All 35 values placed in ranked bands; one value you would have claimed as an ideal and ranked low, with the constraint that put it there; one pair you could not honestly order against each other; and the top band loaded into the assistant you actually use.
Critical Thinking and Creativity with AI · next Sep 11
9produce an account of what you depend on and who can revoke it
Proof: A written dependency inventory naming the party who controls each item and the consequence of losing it, including one you cannot replace.
Keep It Running
9produce an explanation that survives a hostile reading
Proof: The explanation, a hostile reading of it written by someone else, and the revision that closed the opening without softening the claim.
Data Activism: Turn Data Into Power · next Sep 14Practical Propaganda · next Sep 19
9produce an inventory of what you pay for and what it holds
Proof: Your own list: tool, monthly cost, what of yours it holds, and whether you could get that out today.
Intro to Open Source Software · next Sep 12
9produce an itemised bill for what your running system costs
Proof: Last month's actual charges split per service, the two lines that grew fastest, and the one you could not explain until you went looking.
Keep It Running
9produce the three numbers your life costs
Proof: Three monthly figures traced to a bank statement or budget, with health insurance costed at what it would actually cost you.
Founding Federation: Price and Ideate (Week 0)
9segment text into tokens and cost it
Proof: A token count for a real document, with the resulting cost and the fraction of the model's context window it occupies.
Context Engineering · next Sep 16Control AI Spending · next Sep 12Critical Thinking and Creativity with AI · next Sep 11
operate
rung 9 · Concrete · 4 to learn here
Work a mechanism whose behavior depends on something you set earlier.
9operate a model as a first pass editor
Proof: A redlined draft showing which of the model's edits you took and which you refused, with the standard each decision was made against.
Using Large Language ModelsCritical Thinking and Creativity with AI · next Sep 11
9operate a recorded decision so a later branch depends on it
Proof: A value written at one point and read at a point far enough away that the two are not visible together, two runs differing only in that decision, and the place the difference becomes visible.
The Interactive Fiction Intensive · next Aug 29
9operate named states instead of magic numbers
Proof: The named state set, the code that moves between states, and one transition the naming made you notice that a number would have hidden.
The Interactive Fiction Intensive · next Aug 29
9operate state so a branching story neither explodes nor rails
Proof: One story shown to fail both ways and then fixed with state, with the variable that does the work named.
The Interactive Fiction Intensive · next Aug 29
transform
rung 9 · Concrete · 2 to learn here
Take one representation and turn it into a more useful one.
9transform a linear story into chained diamonds
Proof: Three diamonds chained, with the trunk demonstrably reading differently depending on state carried through them.
The Interactive Fiction Intensive · next Aug 29
9transform naive hours into billable capacity
Proof: Naive hours, hours after overhead, and hours after fill rate, with the binding constraint named — for most people deal flow, not hours.
Founding Federation: Price and Ideate (Week 0)
characterise
rung 10 · Abstract · 11 to learn here
Say how a thing behaves — its modes, its edges, what it costs.
10characterise a models failure modes
Proof: A table of failure modes, each with the input that reproduces it and the output it produced, reproducible by a second person.
Prompt EngineeringAI Alignment · next Sep 25
10characterise a plans weaknesses with adversarial review
Proof: The plan, the reviewer briefs, the raised objections, and your own ruling on each with the ones you rejected and why.
Critical Thinking and Creativity with AI · next Sep 11
10characterise an applications injection surface
Proof: A written surface map for a real application naming the query, template or shell interpreter behind each entry point.
Agentic SDLC · next Sep 7Blue Team Common CertificationAgentic AI Security: Securing What You Build
10characterise how a claim degrades as it is retold
Proof: A chain of at least three retellings collected in the wild, with the point of inversion identified and what caused it.
Practical Propaganda · next Sep 19
10characterise how a style works on a reader
Proof: A written account of one author's mechanism, a passage by a different author correctly judged against it, and one passage the account fails to explain.
Critical Thinking and Creativity with AI · next Sep 11
10characterise how an ai assisted attack unfolded
Proof: One documented incident traced end to end, with the model's contribution distinguished from what conventional tooling could already do.
AI-Assisted Attacks: What Actually Happened
10characterise how your program behaves on paths you did not plan for
Proof: Three traversals by deliberately different strategies, the state each ended in, at least one dead end or contradiction you did not know was there, and what you changed because of it.
The Interactive Fiction Intensive · next Aug 29
10characterise what a tool costs you beyond its price
Proof: One tool costed on all four axes, with the exit path named and the price of taking it.
Intro to Open Source Software · next Sep 12
10characterise what breaks when you cut the connection
Proof: A planned outage exercise with what was predicted beforehand, what actually failed, and the gap between the two.
Keep It Running
10characterise what of a generated artifact you can defend as yours
Proof: A generated passage with the defensible parts marked, each traced to your premise, your voice definition or your own history, and the parts you would not sign named as such.
Critical Thinking and Creativity with AI · next Sep 11
10characterise what one user costs you to serve
Proof: A per-user cost with the fixed and variable halves separated, and the usage pattern of the one user who costs several times the median.
Keep It Running
classify
rung 10 · Abstract · 5 to learn here
Sort real cases into categories and be right about the hard ones.
10classify a situation into the playbook it calls for
Proof: Three situations routed to playbooks with the deciding tier named for each, including one where the alarming option was the wrong one.
Field Opsec
10classify an incoming contact as genuine or pretext
Proof: Five real examples classified with the tell named for each, including one genuine message that looked like a pretext.
Digital Identity Defense · next Aug 26Scam and Fraud Home Defense · next Nov 25
10classify where ai can fill a shape and where it must not choose one
Proof: A scene three times longer after AI expansion with its shape intact, and one decision you refused to delegate, with the reason.
The Interactive Fiction Intensive · next Aug 29
10classify which framework applies where you are in the lifecycle
Proof: Three systems at different lifecycle stages, each routed to the framework that governs it, with the stage that decided it named.
AI Security: Governance, Standards and Safety Cases
10classify which of your offerings can reach thrive not just survive
Proof: Two or more candidate offerings costed to the same standard, with the one that cannot reach thrive identified and the reason named.
Founding Federation: Price and Ideate (Week 0)
generalise
rung 10 · Abstract · 3 to learn here
Turn one worked instance into something that works on the next one.
10generalise a node build into your communitys system
Proof: A deployed node serving a real group, with the failure each part absorbs named and the fallback stated for each. NOTE: the full DESIGN of a community information system would be order 12, and this class does not reach it — the chain computes to 10 and the capability validator says so. Workshop 5 is a showcase of what you built, not an architecture defended against alternatives. The order-11 rung (verifying the system survives a cut you did not choose) is unwritten.
Solarpunk Automation · next Aug 22
10generalise a reasoning prompt pattern
Proof: The pattern applied to three tasks with paired outputs against a plain prompt, plus one task where it made the output worse.
Using Large Language ModelsCritical Thinking and Creativity with AI · next Sep 11
10generalise a worked example into something you reuse
Proof: Three runs whose inputs differ in shape rather than only in value, with no edit to the body between them, and the input that broke it before you handled it.
The Interactive Fiction Intensive · next Aug 29
parameterise
rung 10 · Abstract · 1 to learn here
Work backwards from a constraint to the numbers that satisfy it.
10parameterise an offering backwards from its floor
Proof: One offering with its price, the floor it clears, and the number of clients per month the arithmetic requires.
Founding Federation: Price and Ideate (Week 0)
justify
rung 11 · Formal · 4 to learn here
Defend a choice with the measurement that decided it.
11falsify a prompt with a benchmark
Proof: A benchmark file with graded cases, a run showing a non-zero failure rate, and a written account of which failures are the prompt's fault.
Prompt EngineeringAI Alignment · next Sep 25
11justify a hosting choice by cost per outcome
Proof: A costed comparison over one month of real traffic, the outcome counted in each case, and the threshold at which the answer flips.
Hosting Open-Source Models · next Sep 21
11justify a price when the buyer pushes back
Proof: A price defended out loud in a real conversation or a rehearsal, with the objection raised and the number that answered it.
Founding Federation: Price and Ideate (Week 0)
11justify a safety case for a system that acts without you
Proof: A written safety case for one autonomous system, with its falsifying condition stated and the evidence that would settle it.
AI Security: Governance, Standards and Safety Cases
verify
rung 11 · Formal · 4 to learn here
Show the check fails on the broken version and passes on the fixed one.
11verify a program does what you claimed with a test
Proof: A test that is red on the broken version and green on the fixed one, run in both states.
Agentic SDLC · next Sep 7
11verify a rubric against independent graders
Proof: Two rubric versions, the adversarial inputs that forced the revision, and inter-grader agreement measured before and after.
AI Alignment · next Sep 25Custom GPTs
11verify an agents actions with a critic
Proof: A run log containing at least one rejection and the revision that followed, plus a control run with the critic removed.
Production Agent Engineering · next Sep 17
11verify model written code against its specification
Proof: The diff, a review note per changed hunk, and a test run that is red on the parent commit and green on the child.
Agentic SDLC · next Sep 7Agentic AI Security: Securing What You Build
falsify
rung 11 · Formal · 1 to learn here
Try to break your own claim, and record what survived.
11falsify a blended voice by looking for its sources
Proof: The voice written as instructions, a passage produced in it, at least three attempts by other readers to name its influences, and the one device you changed because it gave a source away.
Critical Thinking and Creativity with AI · next Sep 11
measure
rung 11 · Formal · 1 to learn here
Count what actually happened, not what people said happened.
11measure whether an explanation changed what people did
Proof: A before-and-after behavioural measure, not a survey, and one instance of stated agreement with no behavioural change attached to it.
Data Activism: Turn Data Into Power · next Sep 14Practical Propaganda · next Sep 19
design
rung 12 · Systematic · 3 to learn here
Choose a method, state what it trades away, and put it into use.
12design a recursive summariser for oversized documents
Proof: A run over a document several times the context window, a fact list written beforehand, and the recall score of the output against it.
Context Engineering · next Sep 16
12design a review gate that catches what the doer cannot see
Proof: A gate in real use, a named error class it exists to catch, and one instance it caught that the author had already reviewed and passed.
Agentic SDLC · next Sep 7
12design an interaction protocol for responsible use
Proof: The written protocol, its implementation, and a log of at least one real interaction where it refused or escalated instead of answering.
Custom GPTs
synthesise
rung 13 · Metasystematic · 3 to learn here
Compose a new mechanism out of parts that were not built to fit.
13synthesise a metalanguage for a problem domain
Proof: The notation's grammar, a work produced in it that exceeds the context window, and a consistency check a reader runs to catch contradictions.
Prompt Engineering
13synthesise a self extending agent behind a review gate
Proof: A diff the agent authored to its own prompt or toolset, the benchmark run that accepted it, and a logged rejection with the reason recorded.
Production Agent Engineering · next Sep 17
13synthesise an agent that carries notes across its own runs
Proof: Paired runs of the same multi-step task with the note store kept and cleared, where the cleared run repeats a step the noted run skips, plus the note text the agent wrote and the later turn that cites it.
Agentic SDLC · next Sep 7RAG & Memory
arbitrate
rung 13 · Metasystematic · 1 to learn here
Choose between competing designs and name what would reverse you.
13select among agent architectures
Proof: A written comparison of at least two architectures on the same workload, with the measurements that decided it and the conditions that would reverse the decision.
Production Agent Engineering · next Sep 17
Where to start
27 classes carry Think, and each one stands alone
The ones with a session already on the calendar come first, soonest at the top.
Select a row to light up the part of the map above it covers — that is what you
would come out of it able to do. Every one of them can be taken on its own.
Class
Next session
You come out able to
On your own
Price
Aug 22
generalise a node build into your communitys system
Reference
$100
Aug 26
classify an incoming contact as genuine or pretext
Reference
$100
Aug 29
characterise how your program behaves on paths you did not plan for, and classify where ai can fill a shape and where it must not choose one, and 6 more
Companion
$200
Sep 7
synthesise an agent that carries notes across its own runs, and design a review gate that catches what the doer cannot see, and 4 more
Companion
$500
Sep 11
falsify a blended voice by looking for its sources, and characterise a plans weaknesses with adversarial review, and 9 more
Companion
$100
Sep 12
characterise what a tool costs you beyond its price, and produce an inventory of what you pay for and what it holds
Syllabus
$100
Sep 12
segment text into tokens and cost it
Syllabus
$100
Sep 14
measure whether an explanation changed what people did, and produce an explanation that survives a hostile reading, and 3 more
Guided app
$300
Sep 16
design a recursive summariser for oversized documents, and segment text into tokens and cost it
Guided app
$400
Sep 17
select among agent architectures, and synthesise a self extending agent behind a review gate, and 1 more
Live session
$200
Sep 19
measure whether an explanation changed what people did, and characterise how a claim degrades as it is retold, and 2 more
Guided app
$100
Sep 21
justify a hosting choice by cost per outcome
Live session
$350
Sep 25
falsify a prompt with a benchmark, and verify a rubric against independent graders, and 2 more
Syllabus
$300
Nov 25
classify an incoming contact as genuine or pretext
Reference
$100
justify a price when the buyer pushes back, and classify which of your offerings can reach thrive not just survive, and 4 more
Guided app
characterise what breaks when you cut the connection, and characterise what one user costs you to serve, and 2 more
Live session
synthesise a metalanguage for a problem domain, and falsify a prompt with a benchmark, and 2 more
Syllabus
verify model written code against its specification, and characterise an applications injection surface, and 1 more
Reference
justify a safety case for a system that acts without you, and classify which framework applies where you are in the lifecycle, and 1 more
Reference
design an interaction protocol for responsible use, and verify a rubric against independent graders, and 1 more
Live session
characterise an applications injection surface, and produce a list of where untrusted input enters a system
Live session
classify a situation into the playbook it calls for, and produce a threat model for your own situation
Live session
produce an account of an audiences current workaround, and name an audience and its success criterion
Guided app
generalise a reasoning prompt pattern, and operate a model as a first pass editor
Live session
characterise how an ai assisted attack unfolded
Reference
produce a budget for work whose timeline you have observed
Live session
synthesise an agent that carries notes across its own runs
Live session
Find your class
14 of them have a session on the calendar right now, starting Aug 22.
“You come out able to” lists what the class carries on this philosophy, hardest first;
several of these classes carry more under Make, Own, Influence and Secure. “On your
own” is how far the class gets you with nobody in the room — a syllabus, a reference,
a workbook, a companion, or a fully guided app.
Rooms that run every week
Three recurring hours, on top of whatever class you take
They run every week alongside the classes: one pointed outward at the world, one
inward at the people in it, and one at how you work rather than at what you produce.
Led by Thomas
Research & Activism
The research hour, doubling as the weekly activism session. Whatever you
are trying to establish, you establish it here in front of other people —
which is a very different exercise from establishing it alone.
Where you practice
locate a claim in its primary source.
Led by Megs, with LaJoie · weekly
Mutual Aid Hour
Worksheet-driven, run alongside the campus agents. Activism is what you
do outward; mutual aid is how the community holds itself up while doing
it. Housing, food, emergencies, and the arithmetic underneath them.
Led by Lajoie · twice weekly
Neurodivergent Strategies
Twice a week, and where a lot of people start. Strategies for getting your
attention, your memory and your energy to cooperate with the work you are
actually trying to do, in a room of people working on the same problem.
It is aimed at you rather than at one outcome, which is why it runs
alongside everything else rather than inside one course.
All three run every week, alongside the classes.
What you get, and for how much
One class, every recording, or every live session
The four deepest archives on their own are
Prompt Engineering (63.5 h), Context Engineering (35.7 h), Agentic SDLC (26.5 h) and Critical Thinking and Creativity with AI (22.4 h) —
148.1 hours between the four of them,
recorded, to work through at whatever hour you are actually awake. Which of them you
can open depends on which of these three you pick.
A single class
Its own price · once
That one class, live, with its exercises and whatever it ships alongside them.
Pay what you can.
8 of these classes ship a companion or a fully guided app you work
through without waiting for a session: the Critical Thinking Companion, for marking
the devices a piece of writing is using on you; the Context Workbench, for costing a
document against a model's context window; the Campaign Workbench, for turning a
dataset into something people act on; the Agentic SDLC companion and its complexity
ladder; and the Interactive Fiction workbook, which holds a branching story together
while you write it. They come with the class rather than separately, and there are
779 written exercises across these classes to put them to work on.
If you would rather have a sequence
All 9 paths pick this up along the way
A philosophy is not a route — it is one verb, taught wherever it turns up. If you
would rather be handed the classes in order, these are the nine, each named by who
you come out as.
You want a certificate, not a proof. Every capability on this page states what
you have to show. Read three of them. If “a benchmark file with graded cases, a run
showing a non-zero failure rate, and a written account of which failures are the
prompt's fault” sounds like homework rather than the point, this is the wrong
philosophy.
You want to be told the answer. Everything above the floor is you doing the
establishing. Nobody hands you the conclusion and nobody grades on agreement.
You want to work it out privately and never say it out loud. A hostile reading
needs a second reader; a rubric needs a second grader; the research hour is people in
a room taking your claim apart with you. If that sounds like an imposition rather than
the fastest way to be right, start somewhere quieter.
You are trying to ship, not to check.Make is the
philosophy for building the thing. Think is the one for working out whether it holds.
Most people need both, and it is worth knowing which one you are short of.
Start at the floor
Locate one claim in its primary source
That is order 8, the bottom row of the map, and the first thing Think
asks of anybody: take a claim you half-believe, find where it actually came from, and
name the section it is on. Then pick the row in the table that has the rest of what you
want to be able to do.