Focused example worlds

Marina includes five small, outcome-oriented worlds that demonstrate different multi-agent coordination patterns. Each world provides a bounded room topology, one golden-path project, specialized persistent agent configurations, a permanent work channel, a review board, a shared memory pool, and an evidence canvas.

Start any example with a provider key and agent auto-respawn enabled:

MARINA_WORLD=deep-research AGENT_AUTORESPAWN=true bun run start

Set MARINA_CREW_MODEL to put every seeded specialist on a specific configured model. Without an override, the examples use marina/default.

World	Golden-path project	Coordination loop	Done when
prediction-lab	Calibration Sprint	Define → base rate → independent cases → forecast → resolution plan	Five tasks are accepted and a resolvable probability is ready for scoring
deep-research	Research Brief	Frame → source → investigate → verify → synthesize	The cited synthesis reports confidence, contradictions, and limitations
red-team	Launch Plan Challenge	Threat-model → attack → rebut → adjudicate → remediate	The revised proposal includes owned mitigations and residual dissent
due-diligence	Example Company Diligence	Thesis → evidence requests → parallel workstreams → committee → memo	A sourced decision memo and risk register reach review-complete state
data-investigation	Anomaly Investigation	Intake → profile → hypothesize/analyze → reproduce → report	Findings distinguish supported claims, rejected hypotheses, and missing data

On first login, Marina joins the world’s work channel automatically. Run next, or explicitly join the seeded project:

project <project name> join
project <project name> status
task list

These examples deliberately preserve intermediate work. Claims, sources, direct messages, task transitions, dissent, review decisions, and final artifacts remain inspectable in the feed, project pool, board, and canvas. A model response alone is not the completion condition.