Toyota RAV4 Android Integration

The Problem

Developing a reliable Android Auto integration for the Toyota RAV4 requires simultaneous mastery of multiple domains that rarely overlap:

• Toyota-specific CAN bus message IDs and proprietary protocol extensions
• Android framework internals for media session management and display projection
• Real-time safety constraints: driver distraction limits, touch response latency budgets
• Vehicle electrical architecture compatibility and power management
• User experience design within automotive human-machine interface (HMI) standards

Information quality varies dramatically across these domains. Official Toyota developer documentation (scarce), Android AOSP source code (vast but unfocused), and community-sourced CAN bus reverse engineering (unreliable) all contribute to the knowledge base. Without evidence grading, high-quality and speculative information mix indistinguishably.

FDRP Application

Autonomous Wave Orchestrator

The Wave Orchestrator runs a 7-step autonomous cycle, producing converged findings without human intervention between steps.

Evidence Grading System

Every finding is tagged with an evidence grade, enabling downstream consumers to assess reliability at a glance.

Key FDRP Patterns

Blind Spot Frequency Matrix

Feature prioritization based on how often expert specialists identified the same capability gap independently. High-frequency blind spots (CAN message authentication, display frame timing) received priority investigation.

Expert-Crafted Successor Prompts

Each expert wrote the prompt for the next specialist they nominated, encoding domain knowledge directly into the delegation chain. This produced higher-quality specialist dispatches than generic prompting.

Confidence Decay on Unverified Claims

Claims not verified within 2 wave cycles automatically decayed from their evidence grade. Grade C claims decayed to Grade D, and Grade D claims were flagged for removal or re-investigation.