THE LAST PROMPT ENGINE — TECHNICAL OVERVIEW

The Engine

The Last Prompt Engine is the technology behind The Mandate. You write a plan; a neutral AI evaluates the reasoning; the world responds. The same engine runs every world. Three exist today: Colony, Corporate Reckoning and Lockwood.

The engine is domain-agnostic. A skin supplies the environment — its people, its events, the conditions they live under. The evaluation never changes.

About the name

A prompt, in its oldest sense, is a nudge — a cue that moves thinking in a new direction without dictating where it lands. In The Mandate, your advisors prompt you. Your question prompts them. The crisis itself prompts the situation.

But the last prompt — the only input that actually moves the world — is yours. The plan you write, in your own words, which a neutral AI then receives and evaluates. It never writes the plan, and never improves it. We named the engine for that moment: the last word before consequences unfold.

This has no connection to AI prompt engineering, LLM tooling, or anything related to writing prompts for AI systems. The word means what it meant before large language models existed.

The Decision Loop

Six steps. Every cycle.

The same loop runs in every skin. The context changes. The engine does not.

01
THE WORLD SETS THE SCENE

An event arrives, chosen by the state of the world your earlier decisions created. No two runs meet the same sequence.

02
AN ADVISOR REPORTS IT

Someone in the world brings it to you — a colony advisor, a department head, an archetype. They tell the truth as they see it, from their own corner, shaped by their expertise and their fears. Partial by design, because real expertise is partial.

03
ONE QUESTION

You may ask that advisor one question. It is there so that no one is shut out of a decision by an unfamiliar word or field — what is a CISO? what is a TLS breach? The answer still comes from their corner.

04
YOU WRITE THE PLAN

No menus. No options. Four parts in plain English: the goal, the actions, the contingency, the communication. You write it alone.

05
THE MANDATE EVALUATES

A neutral AI reads the plan against six criteria and writes what it saw. Not what you chose — how you reasoned.

06
THE WORLD RESPONDS

The result limits how far the conditions can move. Your plan moves them — including any it spent to solve the problem — and the conditions interact: when one falls too low, it drags on others. Then the world chooses the next event, from the world you just made.

Two layers, one person

The engine keeps two layers apart. Inside the world, the character — Jon Kelly, Jon Roddy, the Traveller — lives only the consequences. They never see the Mandate's evaluation. Outside it, you see both: what happened, and how the reasoning produced it.

Not everything is visible, even from outside. What drives each advisor — their fears, their doubts — shapes every report but never appears on screen. As in life, you read it in what they say.

See it on a real decision: The Mirror
Design Principle — Chronosymbiosis

The world doesn't wait while you're busy elsewhere.

Chronosymbiosis is the principle the engine is built around: you live with the consequences of your decisions, even when new information arrives after you made them. Nothing a decision changes is wiped clean at the next event.

Every event is the marble — vivid, urgent, demanding all the attention in the room. The conditions are the glass. While you deal with the marble, the glass keeps shifting: what you attend to steadies; what you don't, grows. A run ends when the glass breaks — when any condition reaches zero — not when a plan scores poorly.

That is also how the world chooses what comes next. The weakest condition draws the next event into its own domain — not to punish a weak spot, but because neglected things grow. Solve a food shortage by spending security, and the next crisis may arrive at the perimeter.

And calm is not the same as safe. When nothing is visibly failing, the next thing to arrive is the thing nobody saw building — the Black Swan. Some events carry consequences no plan can fully prevent; even a strong response leaves damage. That isn't the world punishing stability. It's what was already growing where nobody was looking.

The story behind it → The Glass

The conditions interact

You already know how this works.

Colony

Ever tried to get anything done when nobody’s speaking to each other?

When cohesion is low, every gain comes harder.

What happens to the food when the roof leaks and the tools are broken?

When infrastructure is low, food losses deepen.

Corporate Reckoning

Remember the buy-out rumour, when efficiency died overnight?

When team engagement is low, every gain comes harder.

What does it cost every time the systems go down?

When operational infrastructure is low, cash-flow losses deepen.

Lockwood

What becomes of a discovery — iron, electricity, the first computing machines — when the people it reaches are too divided to share it?

When collective coherence is low, every gain comes harder.

How can we embrace an unknown future while we are still struggling to understand our present?

When temporal awareness is low, perceptual losses deepen.

The Evaluation Rubric

Six criteria. One question: how did you reason?

The Mandate reads every plan against the same six criteria, in every world. After each plan you see the overall result, and what the Mandate noticed under each criterion.

What you won't find here is a scoring guide. The criteria tell you what is being looked at; the rest you discover by reasoning.

01
Variable Awareness
Does the plan acknowledge the key constraints and trade-offs in play?
02
Resource Allocation
Are people, time, and resources specifically assigned — not just mentioned?
03
Risk Anticipation
Are second-order effects and contingencies explicitly addressed?
04
Communication Clarity
Is there a clear strategy for informing those affected by the decision?
05
Multi-Step Planning
Is there a logical sequence with fallback positions if the primary plan fails?
06
Temporal Symbiosis
Does the plan consider how this decision connects to earlier choices, or shapes the conditions for future ones?
The Evaluator

How the evaluator is held honest.

An AI evaluator is only worth something if it can't be flattered, padded or argued into a better result. These are the rules it works under.

Full marks are earned

A criterion is only marked in full when the plan meets all of it, with no meaningful gap. When in doubt, the evaluator is told to mark lower, not higher.

The words and the marks must agree

If the evaluator’s reasoning names a risk the plan missed, it cannot mark risk anticipation in full.

The engine decides the result

The AI returns its marks for each criterion. The engine adds them up and sets the result itself — the AI never gets to declare a plan Strong.

Observations, not grades

Each observation is written to stand on its own, with no score in it — something noticed, not something marked.

More words don’t buy a better result

Adding detail to the plan doesn’t move it. Reasoning beyond the plan does: what it costs, what it risks, what happens if it fails.

Advisors stay in their corner

They answer from their own expertise and fears, in human terms — ‘morale will shatter’, never ‘+2 cohesion’ — and never offer a balanced, all-domain answer.

Architecture

Engine vs. environment

The engine is the same in every world. Everything a world contains is written as data, and can be replaced without touching the engine.

LAYER 01
The engine

Identical in every skin.

Conditions
Reads each skin’s five conditions by name, keeps them between 0 and 10, and ends the run if one reaches zero.
Evaluation
Sends the plan, the event and the current conditions to a neutral AI, and turns its marks into a result itself.
Consequence
The result limits how far the conditions can move; the skin’s interaction rules apply on top.
The next event
Reads the state of the world — the weakest condition, how long things have been calm — and chooses from the skin’s library.
The record
Journal, chapter debriefs and the end-of-run report, each written in the skin’s own voice.
LAYER 02
The environment

What a skin is made of.

The people
Every advisor’s role, expertise, priorities, fears, doubts and conflicting values. Written first — every event is brought by one of them.
The events
The library the world draws from.
The chapters
The arc of a run.
The conditions
What the world tracks, and how its conditions interact.
The voice and look
The world’s story, the character’s voice, its colours.

Same engine, three environments

COLONYCORPORATE RECKONINGLOCKWOOD
SustenanceCash FlowCognitive
HealthEmployee Well-BeingMoral
SecurityRegulatory CompliancePerceptual
CohesionTeam EngagementCollective
InfrastructureOperational InfrastructureTemporal
Collaborators

Know an environment worth building?

The engine is modular. A new skin is a new environment — its people, its events, the conditions they live under — written as data, with the engine unchanged underneath. If there's an environment your people actually work in that deserves one, we'd like to hear about it.

Define the conditions and how they interact
Write the people first, then the events they bring
The engine handles the evaluation, the consequences and the record

See the engine in action.

Beta access begins in Colony. Each skin’s page shows what it holds.