RESOURCES · v1.1·PLACEHOLDER CATALOG · CONTENT FORTHCOMING

Where the methodology lives.

Research papers, whitepapers, concept docs, case studies, and collaborations from the team building Read the Room. The catalog is small today. Most items are placeholders. It grows as papers are written, talks recorded, and early-access cohorts produce case studies.

MOCK CATALOG · ILLUSTRATIVE

Resource cards below are placeholders showing the catalog shape. Each one is replaced with a real paper / essay / case-study / talk as it's produced. Status chips (`DRAFT`, `COMING`, `PLACEHOLDER`) tell you which is which.

FILTER BYFILTERS ACTIVATE WHEN REAL CONTENT LANDS

FEATURED · WORKING PAPER

WHITEPAPERSDRAFT

The Goal-Bounded Simulation Engine: A Framework for AI-Driven Tabletop Exercises

Most tabletop exercise tools fail because they're either rigidly scripted (no real dynamism) or chat-style and unbounded (no defended outcome). The goal-bounded engine sits between: an AI engine that adapts scenarios in response to team decisions while staying on the arc of the scenario's stated objective. This paper frames the design space, the operator's interface, and the analytics surface.

FOUNDER · FORTHCOMING COLLABORATOR

Working paper · v0.3

2026

Read the working draft

WORKING DRAFT · v0.3

▸§1 · Why goal-bounded?

▸§2 · The three AI engines

▸§3 · Operator interface

▸§4 · Analytics surface

▸§5 · Open questions

24 PAGES · 18 CITATIONS · CITE-READY

CATALOG · 6 ITEMS

CONCEPT DOCSPLACEHOLDER

Why Branching Trees Fail at Live Simulations

A short essay on why the node-graph / branching-tree paradigm, common in legacy scenario-builder tools, doesn't survive contact with live multi-team simulation. And what replaces it.

FOUNDER

2026Read more

RESEARCH PAPERSDRAFT

Measuring Decision Quality in Multi-Stakeholder Crisis Simulations

A methodology for evaluating decision quality during tabletop exercises, drawing on prior work in computational social science and decision theory. Proposes a framework for live decision-tracing that supports both formative training and summative assessment.

FOUNDER · TBD COLLABORATOR

Preprint · venue TBD

2026Read more

CONCEPT DOCSPLACEHOLDER

Role Sheets vs. Persona Cards: A Designer's Note

Two ways to give an actor identity in a simulation: a static persona card (description of who they are) versus a live role sheet (goal, constraints, posture, audit trail). A designer's note on which to use when.

FOUNDER

2026Read more

CASE STUDIESCOMING

Outbreak Tabletop in 90 Minutes: An Early-Access Cohort Run

A facilitator's write-up of a 90-minute outbreak-response tabletop run with 6 participants, 4 humans + 2 AI bot roles. Walks through scenario setup, mid-run AI Inject Advisor suggestions, and post-run decision-ledger analysis.

ANONYMIZED COHORT A · 6 PARTICIPANTS

2026Read more

COLLABORATIONSCOMING

Joint Research with [University TBD]: Skill Assessment via Tabletop

An academic-industry collaboration to validate whether tabletop simulations with structured decision-tracing can reliably surface decision-making skills that traditional assessments miss.

FOUNDER + ACADEMIC COLLABORATOR (TBA)

Collaboration · scope agreed

2026–2027Read more

PRESS & TALKSCOMING

Founder Talk: Building AI-Driven Simulations for High-Stakes Teams

A 25-minute talk: why simulations matter, what the AI engines actually do, and the open methodology behind the platform.

FOUNDER

Conference · venue TBD

2026Read more

STAY IN THE LOOP

Get notified when new methodology drops.

One short note per release: new papers, new case studies, new framework iterations. No marketing fluff.

PLACEHOLDER FORM · WIRES UP WHEN CONTENT LANDS