# Patient Cartographer — capabilities

With Patient Cartographer, game developers and studios map the paths a title can still take, test them against uncertain creative, production, and market outcomes, and keep strategy current as evidence arrives—from hands-on planning to governed autopilot. This page catalogs what Iridae enables for live pathfinding.

## Map the possibility space

Lets studios explore how different creative, production, and commercial choices could unfold before committing the studio to one roadmap.

### Pathway simulation

- Explore thousands of plausible tactical sequences with Monte Carlo simulation
- Carry uncertainty forward across budget, team, audience, brand, capability, and custom resources
- Model each tactic with hit, base, and flop outcome distributions
- Set probabilistic goals instead of relying on one expected outcome
- Test whether multiple resource thresholds can be reached together by a target date
- Model discrete production decisions and continuous change between milestones
- Apply deadlines, milestone gates, release windows, and Steam availability constraints
- Stress-test plans against adverse shocks, delays, and resource shortfalls
- Compare competing plans under the same assumptions and uncertainty
- Work backward from a goal to find pathways capable of reaching it
- Visualize pathways as decision trees and strategic flow graphs
- Checkpoint, resume, shard, cancel, and retry long-running simulations

### Pathway search & confidence

- Generate, diversify, and refine candidate strategies through multi-stage pathway search
- Search large tactic spaces with genetic algorithms
- Balance exploration and exploitation with Thompson selection
- Measure when simulation results are precise enough to support a decision
- Use Wald precision, R-hat, and effective sample size diagnostics
- Set release gates for convergence and simulation health
- Identify which assumptions most affect the result with Sobol sensitivity analysis
- Stream progress while durable planning runs are in flight

## Compare viable ways forward

Shows the strongest current route, the credible alternatives, and the tradeoff between confidence now and options later.

### Strategic variants

- Group successful pathways into coherent strategic variants with DBSCAN clustering
- Compare families of strategies rather than brittle one-off schedules
- Select a representative pathway for each variant with medoid-style scoring
- Rank viable strategies by success probability, robustness, and maneuverability
- Show how much of the total success probability belongs to each strategic variant
- Fall back to pathway-level recommendations when the evidence does not support stable clusters
- Adjust scoring weights to reflect the studio’s priorities
- Persist the recommended golden path and its supporting evidence for every run

### Decision intelligence

- Show where the studio still has multiple viable choices
- Identify low-optionality steps where the plan is becoming difficult to reverse
- Highlight decisions that materially change the probability of success
- Map decision criticality across the planning horizon
- Compare optionality, certainty, and downside across strategic variants
- Identify bottleneck resources before they become delivery crises
- Explain near-miss pathways and what caused them to fail
- Suggest mitigation tactics for fragile or narrowing paths
- Show credible intervals around projected resource trajectories
- Return plain-language explanations for teams, leadership, and agents

## Learn while making the game

Updates the planning model as prototypes, launches, experiments, forecasts, and real operating outcomes reveal what is actually working.

### Studio tactic model

- Start from a built-in library of common studio tactics
- Register custom tactics for the studio, title, genre, or operating model
- Represent tactic outcomes with ordered hit, base, and flop LogNormal mixtures
- Model the resources each tactic consumes, creates, or puts at risk
- Define preconditions, durations, dependencies, and production constraints
- Analyze dependency graphs, critical paths, and executable tactic waves
- Organize tactics with templates, categories, tags, and metadata
- Validate tactics against the resource dimensions used by each plan
- Export dependency graphs and tactic structures for review

### Calibration & drift

- Record real outcomes individually or in batches
- Recalibrate tactic distributions with fast quantile methods or full Bayesian MCMC
- Schedule recurring recalibration as new operating evidence arrives
- Detect when tactic performance has drifted from historical expectations
- Skip, widen, or preserve uncertain tactic estimates according to policy
- Fit specialized tactics from causal evidence where identification supports it
- Promote or roll back tactic versions under governance
- Condition outcomes by segment, title, market, or operating context
- Validate calibration with temporal cross-validation and posterior predictive checks
- Assess whether a tactic model meets configured quality and validation thresholds
- Condition commercial tactics with Anchored Horizon forecasts
- Condition experimental tactics with Subtle Beacon posteriors

## Explore, replan, and commit

Keeps exploration separate from commitment, update plans when the evidence changes, and choose how much of the process runs automatically.

### Planning runs & replanning

- Validate objectives, tactics, and constraints before expensive simulation begins
- Run durable planning workflows with checkpoint and resume
- Follow the full pipeline from simulation through convergence, clustering, scoring, and selection
- Replan from an updated resource state, tactic library, forecast, or evidence set
- Maintain versioned base plans with optimistic concurrency controls
- Record operator decisions, commitments, and milestone gates
- Preserve lineage for audit, reproducibility, and later comparison
- Publish lifecycle notifications as planning runs progress or change state

### Sandbox & commitment

- Explore hypothetical amendments without changing the committed plan
- Resimulate staffing, scope, launch, funding, and sequencing alternatives in a sandbox
- Compare multiple sandboxes under the same uncertainty
- Adopt an explored pathway into a new base-plan version only when ready
- Keep exploratory strategies visibly separate from committed decisions
- Require notification, confirmation, or approval before high-impact commitments
- Allow agents to propose amendments under the same governance rules
- Export decision briefs and plan summaries for studio review

### Autopilot to copilot

- Choose how much Patient Cartographer runs autonomously
- Turn a plain-language goal into a configured planning run
- Run a closed loop from configuration to simulation, recommendation, and brief
- Pull supporting evidence or propose a Subtle Beacon study during the planning loop
- Recalibrate and replan automatically when policy allows
- Use manual-studio, trusted-automation, or agent-heavy operating presets
- Set notify, confirm, and allow rules for different actions
- Give humans and agents access through the same governed capability contracts
- Run disciplined pathfinding without requiring a planning specialist on every decision

## Coordinate without micromanaging

Gives studios and publishers a shared view of material uncertainty, risk, and decision timing without exposing task-level operations.

### Studio & portfolio planning

- Plan across multiple titles, initiatives, and strategic horizons
- Compose publisher scenarios from consented studio-level signals
- Link production references across studio feeds without merging tenant workspaces
- Model shared capital, capacity, and portfolio constraints
- Align milestones and decision gates across titles
- Compare portfolio strategies under shared uncertainty
- Refresh linked studio statistics according to explicit policies
- Support studio, publisher, incubator, and portfolio deployments

### PC2PC collaboration

- Create and revoke explicit publisher-to-studio sharing relationships
- Share consent-scoped sufficient statistics instead of raw pathways
- Share gate timelines for milestone and commitment alignment
- Share golden-path probability mass without exposing studio internals
- Surface decision entropy where strategic uncertainty remains high
- Provide decide-by signals for material publisher decisions
- Share resimulation sensitivity when assumptions or support levels change
- Share aggregated tactic-category evidence without exposing individual outcomes
- Enforce tenant opt-out and policy gates on every publish and read action
- Apply role-based access control to granting, revoking, publishing, and consuming signals
- Broker privacy-safe cross-studio learning and federated tactic calibration
- Support portfolio-level views of uncertainty, risk, and creative-capital allocation

## Work alone or close the loop

Studios use Patient Cartographer as a complete strategic pathfinding system, or connect it to Iridae and the studio tools already in place.

### Iridae operating intelligence

- Run stand-alone without requiring any other Iridae system
- Use Latent Spark belief state to condition game, market, and tactic context
- Use Anchored Horizon forecasts to condition commercial and revenue tactics
- Pull Subtle Beacon posteriors into pathway assumptions
- Trigger Subtle Beacon studies from high-uncertainty or high-criticality decisions
- Feed new evidence back into recalibration and replanning
- Federate tactic learning across permitted peers
- Close the loop from belief to forecast to path to experiment to updated belief

### APIs, agents & enterprise controls

- Use the planning workspace or invoke the same capabilities headlessly
- Integrate through the capability API, OpenAPI, MCP, and A2A surfaces
- Register agents with scoped, time-bounded delegation
- Receive webhooks and asynchronous task progress
- Use durable checkpoints, resume, cancel, and idempotent operations
- Apply tenant isolation and role-based access control
- Preserve lineage artifacts for audit and reproducibility
- Operate on hosted multi-tenant infrastructure with observability and runbooks
- Apply rate limits, health probes, usage reporting, and entitlement controls
- Support commerce and billing workflows where enabled

## Site map

- [Home](https://iridae.com/) — Iridae decision infrastructure for game studios

### [Latent Spark — Understand](https://iridae.com/understand/)

Calibrated game belief, comps, and market atlas

- [Overview](https://iridae.com/understand/)
- [Headless + Integrated](https://iridae.com/understand/headless/)
- [Capabilities](https://iridae.com/understand/capabilities/)
- [FAQ](https://iridae.com/understand/faq/)

### [Anchored Horizon — Forecast](https://iridae.com/forecast/)

Comp-based Bayesian commercial forecasting

- [Overview](https://iridae.com/forecast/)
- [Headless + Integrated](https://iridae.com/forecast/headless/)
- [Capabilities](https://iridae.com/forecast/capabilities/)
- [FAQ](https://iridae.com/forecast/faq/)

### [Patient Cartographer — Plan](https://iridae.com/plan/)

Live strategic pathfinding under uncertainty

- [Overview](https://iridae.com/plan/)
- [Portfolio](https://iridae.com/plan/portfolio/)
- **Capabilities** (this page)
- [FAQ](https://iridae.com/plan/faq/)

### [Subtle Beacon — Learn](https://iridae.com/learn/)

Continuous Bayesian experimentation

- [Overview](https://iridae.com/learn/)
- [Capabilities](https://iridae.com/learn/capabilities/)
- [FAQ](https://iridae.com/learn/faq/)

### Also

- [Book a Demo](https://iridae.com/demo/)
- [Company](https://iridae.com/company/)
- [Careers](https://iridae.com/company/careers/)
- [Blog](https://iridae.com/blog/)
- [Legal](https://iridae.com/legal/)

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Canonical: https://iridae.com/plan/capabilities/
