One front door to Ghost Intelligence

What: Fuses live signals into a decision with a confidence score and a written rationale.

Why: Turns raw data into an answer you can act on — and tells you why.

Next: Open the Brain Command center and watch a decision form in real time.

What: Merges health, providers, weather, traffic, market, memory, brain, version and logs into a single risk read-out with evidence.

Why: No single feed tells the whole story — fusion reveals cross-system risk.

Next: Open the Intel view to see every signal, its confidence and its evidence.

What: Projects branch stability, future uncertainty and causal forecast quality.

Why: Knowing what is likely next lets you act before something breaks.

Next: Open the Predictive view to see forecast quality and drift.

What: Generates candidate plans and routes them through an approval gate.

Why: Good decisions still need a safe, reviewable plan to execute.

Next: Open Planning to review how plans are proposed and approved.

What: Runs reflective reviews over recent decisions and outcomes.

Why: Self-review is how the system catches its own mistakes.

Next: Open Reflection to see the latest self-review.

What: Tracks outcomes over time and adjusts confidence from real win-rates.

Why: A system that learns compounds in value with every decision.

Next: Open Brain Learning to see the live learning timeline.

What: Stores and consolidates episodic and semantic memory, tracking beliefs and contradictions.

Why: Memory gives the system continuity instead of starting from zero each time.

Next: Open Semantic Memory to explore what the system remembers.

What: Reports cognitive health, identity stability and hallucination pressure.

Why: A mind that watches itself can flag when it is drifting.

Next: Open Meta-Cognition to see the live cognitive health score.

What: Shows past decisions in sequence with their context.

Why: Seeing the chain of decisions builds trust and traceability.

Next: Open the Decision Timeline to scroll through recent decisions.

What: Runs simulations and compares counterfactual branches.

Why: Testing decisions in simulation avoids real-world risk.

Next: Open Simulation to run a what-if comparison.

What: Builds human-readable explanations for decisions.

Why: Explainability is what makes the system trustworthy and auditable.

Next: Open the Explainability Observatory.

What: Scores planning, execution, research, memory and outcomes; forecasts degradation.

Why: Self-grading surfaces weak spots before they fail.

Next: Open the Self view to read the latest grades.

What: Consolidates memories and tracks beliefs and contradictions.

Why: Consolidation keeps memory coherent instead of cluttered.

Next: Open Consolidation to inspect beliefs.

What: Fuses price action, macro and math signals into a gated BUY/WAIT/SELL call with rationale.

Why: Shows the decision engine applied to a real, high-stakes domain.

Next: Open Markets to watch the trading brain decide (simulated execution).

What: Pulls macro indicators and feeds them into risk and trading decisions.

Why: Macro context shapes almost every market and risk call.

Next: Open Intel to see economic signals in the fusion feed.

What: Streams price, breadth and volatility signals.

Why: Real market data is the raw input for trading intelligence.

Next: Open Markets to view the live market signals.

What: Aggregates news items with source provenance and severity.

Why: News moves systems and markets — it belongs in the signal mix.

Next: Open Intel to read the scored news feed.

What: Pulls real conditions and alerts from OpenWeather and NWS.

Why: Weather drives demand, risk and infrastructure stress.

Next: Open the Weather view for live conditions.

What: Renders TomTom traffic flow, incidents and a routing brain.

Why: Geospatial movement is a leading indicator across many systems.

Next: Open the Operational Map to see live traffic.

What: Combines all live signals into a single risk level with anomalies and recommended actions.

Why: Cascading failures only appear when you look across domains.

Next: Open Core Health to see the unified risk picture.

What: Shows runtime status, queue depth and persistence mode.

Why: Operators need to know the engine itself is healthy.

Next: Open Runtime Intelligence to inspect the engine room.

What: Tests 13 providers for configuration, latency and errors.

Why: Intelligence is only as good as the feeds behind it.

Next: Open Core Health to see the live provider scoreboard.

What: Reports memory reliability and consolidation state.

Why: Unstable memory quietly corrupts every downstream decision.

Next: Open Core Health to check memory reliability.

What: Shows planner, analyst, verifier, memory, operator and observer agents with live lifecycle.

Why: The system is a team of agents — you should see the team.

Next: Open the Agent Society to meet the agents.

What: Aggregates per-subsystem diagnostics and smoke checks.

Why: When something is off, this is where you look first.

Next: Open Diagnostics for the full system read-out.

What: Collects live proof points into a shareable pack.

Why: Buyers and reviewers want verifiable proof, not slides.

Next: Open the Proof Pack to see the evidence bundle.

What: Surfaces the live build/commit and release evidence.

Why: You should always know exactly what is running in production.

Next: Open Release Evidence to confirm the live build.

What: Manages mission lifecycle with a persistent mission store.

Why: Missions give the system goals to organise its work around.

Next: Open Mission Command to view active missions.

What: Provides the registry, routing and synchronisation between agents.

Why: Coordination is what turns separate agents into one system.

Next: Open the Fabric to see coordination internals.

What: Coordinates orchestration and topology across subsystems.

Why: Someone has to conduct the orchestra — this is the conductor.

Next: Open Executive Cognition to see orchestration.

What: Answers log questions with cited log lines and a risk level.

Why: Finding the needle in the logs is half of incident response.

Next: Open Logs to ask the copilot a question.

What: Classifies your goal, builds a short plan, recalls data, scores risk via brain/decide, and stops at approval (read-only preview — execution disabled).

Why: This is the front door that turns Ghost from dashboards into an operational system you can actually drive.

Next: Open Ghost Console and run a goal like “Check the system and tell me what to do next.”

What: Authenticated Mission Control panel over Entity v5.0 unified-operator demo: intent → analysis → proposed next action with honesty labels.

Why: Makes existing Entity capability visible and inspectable without Relay auto-dispatch or autonomous execution.

Next: Open Operate and use “Analyze / generate proposal” on the Entity v5.0 panel.

What: Auto-generates documentation, lessons, relationships, search and history for every capability in the system.

Why: Keeps the whole product explainable forever with zero manual documentation work — nothing stays undocumented.

Next: Open the Knowledge Engine to explore the capability graph and architecture.

What: Records each prediction with an expected window and resolves it later.

Why: This is how you prove the system is actually right over time.

Next: Open Outcomes to browse the prediction ledger.

What: Lists learning events in chronological order.

Why: Shows learning is continuous, not a one-time claim.

Next: Open the Learning Timeline to scroll through events.

What: Grades subsystems and reports operational risk and confidence trend.

Why: Honest confidence is the foundation of trust.

Next: Open Self-Assessment to see graded confidence.

What: Captures inter-agent hand-offs with an auditable trail.

Why: Auditability is non-negotiable for regulated and critical systems.

Next: Open the Handoff Audit to inspect the trail.

What: Generates pilot, grant and release evidence reports.

Why: Packaged proof shortens every evaluation and pilot.

Next: Open Pilot Readiness for the readiness scorecard.

What: Packages the strongest live proof points for investors.

Why: Lets the product sell itself with real data.

Next: Open Investor Proof to see the pitch view.

What: Steps through how Pulse predicts a failure before it happens.

Why: The fastest way to understand the product in two minutes.

Next: Start the guided failure-prediction demo.

What: Shows the explanation engine narrating a root cause.

Why: Explanations are what make AI output usable by humans.

Next: Start the explain-failure demo.

What: Runs the trading decision flow on live market signals (simulated execution).

Why: Concrete proof of the decision engine in a real domain.

Next: Open Markets and trigger a trading decision.

What: Demonstrates how the system stores and recalls context.

Why: Memory is abstract until you watch it work.

Next: Open Demo Mode to explore memory.

What: Steps through detecting a problem and taking a corrective action.

Why: Shows the full loop from detection to response.

Next: Start the corrective-action demo.

What: Authenticated conversational Ghost with Executive cognition, bounded session continuity, honesty labels, and supervised forecast confirm.

Why: This is the core customer surface of the Ghost Founder Pilot dedicated advisory seat.

Next: Open Founder Demo and run a scenario or ask Ghost a question.