Learning Center

Educational video modules for SmartSwap+ and amaRQ operations.

This page provides concise explainers for graph interpretation and platform workflows, designed for technical and non-technical stakeholders.

Role-Based Tracks Chapter-Level Jump Controls QuantLayer Interpretation Execution-Ready Playbooks
Total Runtime -
Recorded Scenes -
Chapter Count -
Generator -

Quick Start

Open the full walkthrough, then branch by role.

Use the complete sequence to align shared context, then pivot into role-specific modules so each team gets only the depth required for decisions.

Chapter Controls

Jump directly to the moment you need.

Seek controls are wired for briefing efficiency and can be used in live meetings to skip directly to quantitative, legal, or operations sections.

Conversion Path

Pair education with immediate action routing.

Move from learning to execution by opening optimizer and pricing directly, keeping explanation and implementation in one continuous path.

Decision-grade learning Role-based briefing paths Quant + legal context in one flow Recorded from real product interactions Decision-grade learning Role-based briefing paths

Fast Enablement

Short modules engineered for real operating constraints.

Each sequence is tuned for high-signal reviews so investment, compliance, and engineering teams can align in one meeting instead of multi-round handoffs.

Client Readiness

Plain-language translation for non-quant stakeholders.

Decision framing, risk caveats, and operational implications are translated into client-ready narratives without removing technical rigor.

Execution Continuity

Learning paths tied directly to production workflows.

Training modules map directly to portal actions, legal controls, and release checks so educational context remains operationally useful.

QuantLayer Primer

Understand how utility geometry, sampled allocations, phase flow, and Boltzmann concentration translate into concrete portfolio decisions.

Operational Readiness

Review login security, portal actions, and release workflow behavior so teams can adopt the platform with clear execution discipline.

Decision Briefing

Use chapter jumps to prepare short, stakeholder-specific walkthroughs for investment, compliance, and engineering audiences.

Encrypted Key Workflows

Educational and paid tiers use encrypted API-key issuance with revocation controls so demo and production environments can be governed from one policy model.

Live Intelligence Outputs

The app layer returns live quote context together with role-based recommendations for investment, risk, product, and client communication workflows.

3D Navigation Controls

Original 3D action controls provide fast transitions between learning modules, portal operations, and legal context without copying external interfaces.

Role-Based Learning Paths

Select a client role to prioritize the most relevant learning sequence and operational interpretation guidance.

Choose a role to load its recommended module order and talking points.

For Client Teams

Translate quant outputs into executive narrative.

Focus on interpretation language and scenario implications so non-technical stakeholders can evaluate decisions without relying on static documentation.

For Product Teams

Bind feature understanding to operational controls.

Use module sequencing to connect analytics behavior, authentication boundaries, and release expectations before customer launch.

For Risk Teams

Embed legal and disclosure context into reviews.

Pair learning modules with policy notes so recommendations remain aligned with governance scope and market-product limitations.

Module 2: QuantLayer Interpretation

Focused explanation for utility, heatmap, flow, and Boltzmann plots.

Module 3: Secure Operator Workflow

Login, portal controls, and integration actions in one short clip.

Interpretation Lab

Use these fast definitions to keep cross-functional reviews precise when discussing plot behavior and optimizer movement.

Utility Surface

Represents score elevation for each portfolio state; higher ridges imply stronger objective outcomes under active assumptions.

Weight Heatmap

Shows concentration movement as temperature changes; brighter regions indicate repeated allocation preference in sampled states.

Phase Flow

Displays optimization direction vectors and convergence behavior so teams can assess stability toward target allocations.

Boltzmann Curves

Illustrates probability mass sharpening across beta regimes, clarifying how search intensity impacts allocation confidence.

Phase 1

Orientation

Start with the complete walkthrough to establish shared platform context and interface familiarity.

Phase 2

Quant Interpretation

Deepen understanding of utility geometry, concentration behavior, and convergence signals for scenario calls.

Phase 3

Governance Alignment

Finalize with secure operator workflows and legal context to keep decision velocity inside policy boundaries.