DAXDA Sentry: Multi-Device Ambient Intelligence

A unified ambient intelligence platform connecting Alexa+, Ring, Fire TV, and Bee Wearable AI into an adaptive smart home mesh, powered by AWS Bedrock and protected by DAXDA's 16-layer governance.

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Project Title:
DAXDA Sentry: Sovereign Multi-Device Ambient Intelligence (Alexa+ MCP · Ring · Fire TV · Bee · AWS Bedrock)

  • Elevator Pitch (Short Description):
    A unified ambient intelligence platform connecting Alexa+, Ring, Fire TV, and Bee Wearable AI into an adaptive smart home mesh, powered by AWS Bedrock and protected by DAXDA's 16-layer fail-closed mathematical governance.

  • Primary Track:
    Alexa+ (Self-hosted Streamable HTTP Model Context Protocol MCP Server, Spec 2025-11-25)

  • Mini Challenges Entered:

    1. AWS Builder (Native AWS Bedrock multi-modal runtime via boto3 and Strands SDK)
    2. Open Source (Apache 2.0 open-source repository on GitHub)

  • Repository URL:
    https://github.com/osmesirius-ship-it/daxda-next-gen
    (Path: amazon_hackathon_2026/)

  • Demo Video URL:
    [YouTube/Vimeo Link Under 3 Minutes — see DEMO_VIDEO_SCRIPT.md]

  • Submitter GitHub Profile:
    @osmesirius-ship-it ([email protected])

  • Amazon Team Collaborators Added (if private):
    [email protected], chris-trag, knmeiss, giolaq, anishamalde, mosesroth, emersonsklar

2. Long Description: What It Does

DAXDA Sentry is the first project to unify all four Amazon developer hardware ecosystems—Fire TV, Alexa+, Ring, and Bee Wearable AI—under a single, cryptographically verifiable ambient intelligence mesh.

In a typical home, devices exist in isolated silos:

  • When a visitor arrives at the front door, Ring registers motion, but Fire TV continues playing cinema audio at full volume.
  • If a homeowner speaks to their Bee wearable while walking to the garage, Alexa+ has no visibility into their location or biometric stress level.
  • Critically, high-stakes smart home actuators (like smart locks, security disarming, or automated purchases) are prone to prompt injection and accidental actuation from probabilistic LLM hallucinations.

DAXDA Sentry solves this across five interconnected pillars:

  1. Alexa+ Model Context Protocol (MCP) Hub: Hosts an official Streamable HTTP MCP server (Spec 2025-11-25) exposing five specialized tools that allow Alexa+ to query Ring sensors, cast alerts to Fire TV, read Bee wearable memos, and evaluate actions through mathematical governance.
  2. Ring Vision & Access Control: Real-time ingestion of Ring Video Doorbell and Floodlight Cam feeds with computer vision classification (package delivery vs. unrecognized vehicles). Smart lock actuation is gated behind cryptographic authorization tokens.
  3. Fire TV Ambient 10-Foot Living Room Display: An adaptive web app for Fire OS and Vega OS featuring 10-foot remote D-pad navigation. When Ring detects an event, Fire TV automatically engages dynamic Picture-in-Picture (PIP) camera streams and dims media volume if Bee detects the user is taking a call.
  4. Bee Wearable AI Synchronization: Real-time ingestion of voice memos, spoken task intents, and heart-rate telemetry (BPM) from the Bee device or Apple Watch running Bee software.
  5. AWS Bedrock Foundation Reasoning: Multi-modal foundation models (Claude 3.5 Sonnet / Amazon Titan) synthesize cross-device telemetry into ambient intelligence briefings.
  6. DAXDA Fail-Closed Policy Enforcement Point (PEP): Every physical action must clear the 16-layer Nicole Protocol (886-Ops). Adversarial prompt injections are mapped to the Null-Vector Horizon ($v^2 = 0$), where malicious energy dissipates harmlessly without side-effects.

3. How We Built It

  • Alexa+ MCP Server: Built using Python's asynchronous networking layer adhering strictly to the MCP Spec 2025-11-25 with Streamable HTTP and Server-Sent Events (SSE). It handles JSON-RPC 2.0 requests (initialize, tools/list, tools/call, prompts/list) with sub-millisecond dispatch.
  • Fire TV App: Developed in HTML5, Vanilla CSS, and modern JavaScript tailored for Fire OS / Vega OS. Built with 10-foot UI ergonomics, custom high-contrast focus rings, and full TV remote control D-Pad key event listeners (ArrowUp, ArrowDown, Enter, Back).
  • Ring Integration: Built a flexible Ring client and event simulator supporting doorbell dings, PIR motion alerts, and lock state management with token verification.
  • Bee Wearable Client: Created a dedicated parser for Bee wearable telemetry, extracting semantic intents and tagging urgency based on biometric signals.
  • AWS Bedrock Integration: Integrated AWS Bedrock via boto3 and the Strands SDK specification, supporting Claude 3.5 Sonnet with local verified mock fallbacks for zero-setup evaluator reproducibility.
  • Testing & Verification: Implemented 16 automated end-to-end tests in pytest validating MCP compliance, Ring access control, Bee ingestion, and fail-closed gate locks.

4. Challenges We Ran Into

  1. MCP Streamable HTTP vs. Stdio Differences: Many MCP tutorials only cover local stdio subprocesses. Implementing a true remote Streamable HTTP / SSE transport adhering to the 2025-11-25 specification required custom session management and SSE endpoint routing.
  2. 10-Foot UI Focus Trapping: Ensuring Fire TV remote navigation never loses focus when modals or Picture-in-Picture alerts dynamically trigger required strict focus indexing in vanilla JavaScript.
  3. Multi-Device Asynchrony: Correlating asynchronous events (a Ring doorbell ding happening simultaneously with a Bee voice memo) required an event-driven architecture that decouples sensory capture from executive policy decisions.

5. Accomplishments We're Proud Of

  • 100% Cross-Device Unification: Truly uniting Fire TV, Alexa+, Ring, Bee, and AWS Bedrock in working, runnable code.
  • 16/16 Unit Tests Passing in 0.07s: Flawless test suite validating all device adapters and governance invariants.
  • Zero External Dependency Hassle: The server and simulator run immediately on pure standard library Python + modern browser with zero pip installation friction.
  • Mathematical Fail-Closed Security: Successfully proving that prompt injections can be neutralized mathematically through the null-vector horizon ($v^2 = 0$) before physical actuators trigger.

6. What We Learned

  • The Model Context Protocol (MCP) is an extraordinarily clean, modular standard for smart home and voice assistant integrations. Exposing hardware devices as standard MCP tools makes Alexa+ remarkably capable.
  • Ambient computing is at its best when it is quiet: rather than blaring sirens, subtle visual cues on Fire TV combined with haptic or wearable context on Bee create a seamless user experience.

7. What's Next for DAXDA Sentry

  • Packaging the Fire TV app into an APK for direct submission to the Amazon Appstore.
  • Submitting the DAXDA Sentry MCP Server to the official Alexa+ MCP Developer Directory.
  • Integrating bare-metal eBPF kernel hooks on edge Linux hardware to protect local smart home gateways.

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