Hybrid Architecture, Local Orchestration

HALO: sovereign hybrid AI across embodied sensor, phone, and substrate.

Three tiers of inference, one cryptographic receipt chain. Tier 0 captures (glasses, sensors). Tier 1 routes on-device (phone). Tier 2 escalates to the sovereign substrate (Howdify-owned MoE, never a third-party API). Every event in every tier signs a receipt that commits to its parent. Tampering at any tier breaks the chain at the next signed reference. This page is the v3 Lab POC scope.

v3.0 Lab POC Pre-kickoff gates active Per-event signed audit chain 2-week timeline
HALO Sovereign Hybrid AI Pipeline diagram showing Tier 0 Brilliant Labs Halo Smart Glasses with 640x480 VGA optical sensor, Tier 1 Android orchestrator phone running Gemini Nano via AICore and routing logic, Tier 2 sovereign cloud substrate on AWS dedicated VPC with KTransformers and Qwen3 MoE, and the underlying cryptographic receipt ledger connecting all three tiers with HMAC-signed parent-pointer chains Tap to expand
The full pipeline: three tiers of inference, one cryptographic receipt ledger. Sensor edge → local routing phone → sovereign cloud substrate, with HMAC-signed receipts at every tier-boundary event linked by parent pointers.

01Why HALO exists

The market is converging on a hybrid inference pattern: a small model on the device handles the hot path, a frontier model in the cloud handles complex queries. Every major vendor ships some version of this. Apple Intelligence, Google AICore + Gemini Nano, Microsoft Phi-Silica plus Azure OpenAI. The on-device model handles privacy-sensitive and latency-sensitive work locally; the cloud handles depth.

Every shipping version of this pattern has the same problem: the cloud half is someone else's runtime. Apple's cloud is Apple. Google's is Google. Microsoft's is Microsoft. Even the open-source stacks default to running inference in a vendor account where the tenant has no way to prove their data did not pass through systems they don't control.

HALO replaces the cloud half with a sovereign substrate. Same hybrid pattern. Same hot path on the device. Same depth on escalation. But the substrate is a Howdify-owned MoE running on client-controlled infrastructure, and every event from the sensor capture through the inference is cryptographically receipted in a chain that survives audit.

Howdify Core continues to use Bedrock for workloads where vendor-managed inference is acceptable. HALO is the new sovereign tier for clients who require the substrate fully under their control. Different product, different positioning, no conflict between them.


02The cross-tier audit chain

The distinguishing architectural characteristic of HALO is what happens at every tier boundary. An HMAC-signed receipt is written for every event: sensor captures, routing decisions, expert loads, token emissions, response returns. Each receipt commits to its parent receipt's hash via a stored pointer, so the chain forms a verifiable graph from the moment a sensor wakes up through the final token rendered back on the display.

Any byte modified at any tier breaks verification at the next downstream check, with the failed tier and event identified deterministically by the audit tool. The chain is not an add-on or a logging layer. It is how the system observes itself, and it is what makes after-the-fact reproduction of any decision feasible.

This becomes the operational substrate for regulated-industry use cases (compliance, field service, executive briefing) where reproducing the decision-making chain is the deliverable, not a feature. See §03 for tenant-mapped use cases.

Bootstrap is over link-encrypted transport at session start. Per-tenant and per-session subkeys are derived from the existing Howdify HMAC root via HKDF (full hierarchy in §07). All receipts land in the existing Howdify receipt ledger with new receipt_kind values for HALO-specific events.


03Use cases (mapped to Howdify tenants)

HALO is not a single-use product. It is the substrate primitive that makes sovereign tier-escalated AI possible across verticals Howdify already serves, plus regulated verticals Howdify wants to enter.

UC-01 · Manufacturing / Warehouse

In-warehouse buyer copilot (WLG-class)

Operator wearing glasses double-taps to query inventory or aging POs. Tier 0 captures the SKU label or item geometry via the IMU-triggered optical sensor. Tier 1 routes simple lookups locally; complex queries escalate to the sovereign substrate. Receipts prove what item context was processed and what the engine returned without exposing raw visuals to an external cloud.

UC-02 · Retail Storefront

Sales-floor copilot (Pure Shaka, Cosmic Reserve)

Employee asks "how many of this in stock," "what's the lab COA on this batch," "is this customer in our loyalty tier." Hot-path responses on-device. Escalations to substrate for personalized product recommendations or compliance lookups. Cannabis-regulated verticals like Cosmic Reserve gain a sovereignty claim regulators will recognize.

UC-03 · Compliance / Audit

Audit-grade decision provenance

Every action taken with HALO produces a receipt chain that can be replayed and verified. For SOC 2, ISO 42001, HIPAA, and pharma GxP, this is the difference between "AI was used in a workflow" (today) and "every AI-influenced action is cryptographically provenanced from sensor capture through inference" (HALO). The receipts ARE the audit artifact.

UC-04 · Field Service / Inspection

Embodied technician copilot

Field technician captures descriptive audio plus an image frame of the target machinery. Tier 1 matches obvious diagnostic profiles locally. Faulty configurations or specialized asset histories escalate to the substrate. The receipt chain becomes an immutable liability and insurance artifact proving exactly what the technician saw and what the model diagnosed.

UC-05 · Executive / Discreet Briefing

Sovereign command-center glasses

Executive in a meeting receives discreet briefing data on incoming people, topics, or financial figures via Tier 0 display. Tier 1 stays local for sensitive material; only de-identified queries escalate. The sovereign chain proves no third party heard, saw, or processed the conversation. This is the CEO-grade use case that justifies premium pricing for HALO over commodity hybrid stacks.

UC-06 · Privacy-Preserving Transcription

Real-time on-device with selective escalation

Tier 0 captures audio. Tier 1 transcribes locally with Gemini Nano. Tier 2 substrate only sees what the user explicitly escalates for analysis. Default-private architecture, opt-in cloud, receipt chain proves boundary compliance. Applies to legal, medical, journalist, and therapist workflows where ambient audio capture is useful but cloud transcription is unacceptable.

UC-01 through UC-03 map directly onto Howdify's existing tenant base (WLG manufacturing, Pure Shaka retail, Cosmic Reserve regulated retail). UC-04 through UC-06 are net-new verticals where the audit-chain primitive opens doors that commodity hybrid stacks cannot.


04Architecture (Lab POC vs production)

The architecture has two views. The production view is the future state with real hardware and real cellular transport. The Lab POC view is what ships in 2 weeks, with Python emulators replacing the physical Tier 0 and Tier 1 devices.

Lab POC view (v3)

┌─────────────────────────────────────────────────────────────────────┐
│  HOWDIFY LAB · account 348117807165 · us-east-2                     │
│                                                                     │
│  ┌──────────────────────┐                                           │
│  │ tier0_emulator.py    │   Python sensor emulator                  │
│  │ • Reads wav/img file │   • Splits to 240B chunks                 │
│  │ • Emits sensor evts  │   • HMAC-signs every chunk per §6         │
│  └──────────┬───────────┘                                           │
│             │ local WebSocket (mimics BLE transport)                │
│             ▼                                                       │
│  ┌──────────────────────┐                                           │
│  │ tier1_emulator.py    │   Python orchestrator emulator            │
│  │ • Receives + verifies│   • Intent classifier (Bedrock Haiku stub)│
│  │ • Reassembles payload│   • Routes to substrate or stays local    │
│  │ • Forwards receipts  │   • Streams tokens back to Tier 0 console │
│  └──────────┬───────────┘                                           │
│             │ in-VPC WebSocket (mimics cellular transport)          │
│             ▼                                                       │
│  ┌──────────────────────┐                                           │
│  │ halo-lab-substrate/  │   FastAPI + KTransformers + Qwen3         │
│  │ on r7iz.4xlarge      │   • HMAC verifies Tier 0 + Tier 1 chain   │
│  │ (stopped when idle)  │   • Signs every expert load + token       │
│  └──────────┬───────────┘                                           │
│             │                                                       │
│             ▼                                                       │
│  ┌──────────────────────┐                                           │
│  │ howdify-receipts DDB │   Existing table, new receipt_kinds:      │
│  │                      │   halo_sensor_capture, halo_tier_routing, │
│  │                      │   halo_expert_load, halo_token_emit,      │
│  │                      │   halo_tier_response                      │
│  └──────────────────────┘                                           │
│                                                                     │
│  ┌──────────────────────┐                                           │
│  │ halo-receipts/       │   Verification CLI + audit dashboard      │
│  │ cli + dashboard      │   • Replays any session_id                │
│  │                      │   • Visualizes chain integrity            │
│  └──────────────────────┘                                           │
└─────────────────────────────────────────────────────────────────────┘

No BLE. No cellular. No AICore. No physical glasses. Just the protocols, the substrate, and the audit chain, all inside Lab.

Production view (when hardware lands)

┌─────────────────────────────────────────────────────────────────────┐
│                   TIER 0 · Halo open-source glasses                 │
│  Alif B1 NPU firmware. VAD-triggered audio (dual mic, beamforming). │
│  Gesture-triggered 640x480 optical capture for local VLM inference. │
│  HMAC-signed BLE chunks. Halo Display + stereo speaker response.    │
└────────────────────────────┬────────────────────────────────────────┘
                             │ BLE GATT
                             ▼
┌─────────────────────────────────────────────────────────────────────┐
│                   TIER 1 · Android orchestrator                     │
│  Kotlin app, Firebase AI Logic SDK, Gemini Nano via AICore          │
│  Custom escalation router, BLE GATT client, receipt forwarder       │
└────────────────────────────┬────────────────────────────────────────┘
                             │ Cellular 5G / LTE
                             ▼
┌─────────────────────────────────────────────────────────────────────┐
│                   TIER 2 · Sovereign substrate                      │
│  AWS us-east-2 DEDICATED tier VPC                                   │
│  KTransformers + SGLang + Qwen3-Next-80B-A3B on r7iz/r8i            │
│  Per-tenant context retrieval, receipt verification + signing       │
└─────────────────────────────────────────────────────────────────────┘

The wire format and receipt schema do NOT change between POC and production. Only the transport changes (WebSocket → BLE GATT for Tier 0, in-VPC WebSocket → cellular WebSocket for Tier 1). When the open-source glasses arrive, the firmware swaps in for tier0_emulator.py and everything else continues to work.


05 · hardwareTier 0 hardware (Halo open-source glasses)

The Tier 0 device is the Halo open-source glasses (Sensor Edge column in the pipeline diagram above). The POC ships with a Python emulator standing in for the device, but the wire protocol and receipt schema below are designed so the firmware integration when the glasses arrive is mechanical, not architectural. Each labeled component on the glasses maps to a specific message type or receipt field.

The interaction model is multimodal: voice and gesture in, audio and peripheral visual display out. Notably, the frame includes a low-power 640x480 (VGA) optical sensor tied directly to the Alif B1 processor. It is architected strictly for local AI inference, with no native user photo storage or video recording pathway, making it highly defensible for sensitive compliance environments.

Halo componentFunction in HALO architectureWire protocol mapping
Optical SensorLow-power 640x480 (VGA) visual frame capture on gesture trigger. Feeds local VLM inference on the Alif B1 or gets tokenized for upstream validation. No native photo or video storage on the device.0x11 IMAGE_CHUNK (Tier 0 → Tier 1, packetized into 240B frames)
Gesture SensorOperator input trigger (tap, double-tap, swipe). Starts a session, confirms an action, or dismisses a response.0x12 GESTURE_EVENT (Tier 0 → Tier 1, 1B gesture code + timestamp)
Mic × 2VAD-triggered audio capture (operator voice query, ambient context). Stereo input enables beamforming for noisy environments.0x10 AUDIO_CHUNK (Tier 0 → Tier 1, audio payload in 240B chunks)
AI Processor (Alif B1)On-device signal pre-processing, VAD detection, local VLM inference for visual context, HMAC signing of every outgoing frame per §07signs every AUDIO_CHUNK, IMAGE_CHUNK, GESTURE_EVENT, and SENSOR_END frame
Halo DisplayLens-projected visual response, token-by-token rendering0x70 DISPLAY_RENDER (Tier 1 → Tier 0 downlink, visual)
Speaker × 2Audio response output (synthesized voice or audio cue). Stereo allows spatialized feedback.0x71 AUDIO_RENDER (Tier 1 → Tier 0 downlink, audio)
BatteryPower budget monitor, auto-throttle at <20% or thermal thresholdemits 0x50 BACKPRESSURE when capacity-constrained
PCBMain board carrying the AI Processor, sensors, BLE radio, and audio pathphysical substrate, not protocol-visible
LensDisplay optics with see-through prescription compatibility. The Halo Display projects onto the lens.display surface, not protocol-visible

The HMAC signing happens on the AI Processor before any bytes leave the glasses. This is the cryptographic root of the Tier 0 chain. Every chunk emitted over BLE carries an HMAC signature derived from the per-session key (full HKDF chain in §07).

Why local-inference-only matters: the optical sensor feeds the Alif B1 directly for on-device VLM reasoning, but the device exposes no native photo or video storage path. The glasses can see and reason; they cannot retain or stream raw imagery without operator-triggered upstream chunking through the signed wire protocol. This is the compliance angle for regulated industries (healthcare, legal, executive contexts) where ambient visual capture is useful for the operator's workflow but raw-image retention is unacceptable.
Why this mapping matters for the POC: the wire protocol and receipt schema are locked at POC time using the Python emulator. When the Halo glasses arrive, firmware engineers implement the SAME message types against the same receipt schema, with the only change being the underlying transport (WebSocket → BLE GATT). The integration is mechanical, not architectural. This is why the receipt chain ships first and the hardware ships second.

06 · protocolWire protocol

Transport-agnostic by design. Same frame format whether the underlying carrier is WebSocket, BLE GATT, or cellular.

Frame format (240B max payload, fits BLE MTU when hardware lands):

  ┌─────┬─────┬──────────┬─────────────┬─────────────┐
  │ ver │ typ │ session  │ payload     │ hmac-sha256 │
  │ 1B  │ 1B  │ 4B + 4B  │ ≤ 198B      │ 32B         │
  └─────┴─────┴──────────┴─────────────┴─────────────┘

Message types (0x1X = Tier 0 sensory inputs, 0x3X+ = orchestration):
  0x10  AUDIO_CHUNK          Tier 0 → Tier 1, audio bytes from mic
  0x11  IMAGE_CHUNK          Tier 0 → Tier 1, sequential VGA frame bytes
  0x12  GESTURE_EVENT        Tier 0 → Tier 1, tap / double-tap / swipe
  0x20  SENSOR_END           Tier 0 → Tier 1, capture complete (audio or image)
  0x30  TIER_ROUTING         Tier 1 internal, classification decision
  0x40  ACK                  Tier 1 → Tier 0, chunk N received
  0x50  BACKPRESSURE         Tier 1 → Tier 0, pause sensor stream
  0x60  ESCALATE_REQUEST     Tier 1 → Tier 2, with full receipt bundle
  0x61  ESCALATE_TOKEN       Tier 2 → Tier 1, streamed token
  0x62  ESCALATE_END         Tier 2 → Tier 1, response complete
  0x70  DISPLAY_RENDER       Tier 1 → Tier 0, token for Halo Display
  0x71  AUDIO_RENDER         Tier 1 → Tier 0, synthesized audio for speakers
  0x80  VERIFICATION_FAILED  Tier 1 → Tier 0, parent hash or signature validation failed
  0x81  SESSION_RESET        Tier 1 → Tier 0, command to purge keys and force re-bootstrap

Transport mapping (POC vs production)

Tier hopPOC transport (Lab)Production transport
Tier 0 → Tier 1local WebSocket (ws://)BLE GATT, 240B chunks
Tier 1 → Tier 2in-VPC WebSocket (wss://)Cellular 5G/LTE WebSocket
Tier 2 → Tier 1in-VPC WebSocket replyCellular streamed tokens
Tier 1 → Tier 0WebSocket replyBLE GATT writes

07 · protocolReceipt protocol + HMAC key hierarchy

Receipt schema

Every event in every tier produces a signed receipt with this shape:

{
  "receipt_id":           "uuid-v4",
  "session_id":           "uuid-v4",
  "session_epoch":        uint32,
  "tier":                 0 | 1 | 2,
  "tenant_id":            "string",
  "receipt_kind":         "halo_sensor_capture | halo_tier_routing |
                          halo_expert_load | halo_token_emit |
                          halo_tier_response",
  "event_payload_hash":   "sha256-hex",
  "parent_receipt_id":    "uuid-v4 | null",
  "parent_receipt_hash":  "sha256-hex | null",
  "timestamp_utc":        "iso8601",
  "hmac_signature":       "hex"
}

HMAC computed over canonical JSON of the receipt minus the hmac_signature field. The canonical JSON is also stored alongside as hmac_canonical in DynamoDB so verification does not depend on JSON formatting reconstruction (existing Howdify pattern from the receipt-writer bug fix in April 2026).

HMAC key hierarchy (HKDF-SHA256)

All HALO keys derive from the existing howdify/receipt-hmac-secret SSM parameter. Standing Rule 16 (single source of truth for receipt secrets) is preserved. No parallel key infrastructure.

# Root (existing, shared across Howdify)
ROOT_SECRET = ssm://howdify/receipt-hmac-secret

# Per-tenant key (rotation: monthly, auto-derived)
TENANT_KEY[tenant_id, epoch] = HKDF(
  ikm  = ROOT_SECRET,
  salt = "halo-tenant-v1",
  info = tenant_id || epoch_month,
  L    = 32
)

# Per-session key (ephemeral, session-scoped)
SESSION_KEY[session_id, tenant_id, epoch] = HKDF(
  ikm  = TENANT_KEY[tenant_id, epoch],
  salt = "halo-session-v1",
  info = session_id || session_epoch,
  L    = 32
)

# Per-tier session subkey (one per tier within a session)
TIER_KEY[tier, session_id, tenant_id, epoch] = HKDF(
  ikm  = SESSION_KEY[...],
  salt = "halo-tier-v1",
  info = "tier-" || tier_number,
  L    = 32
)

Cross-tier parent-pointer chain

session lifecycle:

  T0  halo_sensor_capture     parent: null (root of session)
  T0  halo_sensor_capture     parent: previous T0 capture
  ...
  T1  halo_tier_routing       parent: most recent T0 capture
  T2  halo_expert_load        parent: triggering T1 routing receipt
  T2  halo_expert_load        parent: previous T2 expert_load
  T2  halo_token_emit         parent: preceding T2 expert_load(s)
  T2  halo_tier_response      parent: final T2 token_emit
  T1  halo_tier_response      parent: T2 tier_response

Any tampering at any tier breaks the chain at the next signed parent reference. The halo-verify CLI prints the exact tier, receipt_id, and field where the chain failed.

Fault tolerance and state purge (real-time mitigation)

Detection alone is not enough. A single dropped packet or corrupted bit, malicious or accidental, must not leave the glasses hanging or permanently desynced from the parent ledger. The protocol carries an active mitigation pathway: when Tier 1 receives a frame sequence and the parent hash validation fails, Tier 1 drops the execution pipeline immediately and sends a 0x80 VERIFICATION_FAILED frame back to Tier 0 instead of writing a corrupt receipt row.

Upon receiving 0x80, Tier 0 must:

  1. Abort any active audio or visual sensor recording loop to conserve battery and memory.
  2. Flash a warning to the Halo Display so the wearer sees a state-mismatch indicator on the lens.
  3. Drop down to an un-bootstrapped state and listen for an authenticated link-encrypted 0x81 SESSION_RESET sequence to regenerate session keys via the HKDF runtime pipeline.

The Lab POC proves this loop end-to-end with a deliberate tamper injection (see WP-D in §08). The emulator path:

REAL-TIME MITIGATION FLOW (tamper injection test):

  1. Tamper trigger
     ────────────────────────
     Operator clicks "Inject Tamper Byte" in the audit dashboard.
     tier0_emulator.py mutates one byte mid-stream inside a sequence
     of 0x11 IMAGE_CHUNK payload frames.

  2. Tier 1 verification fails
     ────────────────────────
     tier1_emulator.py computes SHA-256 of the payload and compares
     against the sequence ledger. Hash mismatch. Bedrock Haiku local
     routing halts. NO corrupt row is written to howdify-receipts.

  3. Fault alert downlink
     ────────────────────────
     tier1_emulator.py discards the packet block and emits
     0x80 VERIFICATION_FAILED back to Tier 0 over the local WebSocket.

  4. Tier 0 state purge + visual alert
     ────────────────────────
     tier0_emulator.py catches 0x80. Instantly purges TIER_KEY[0]
     from local memory. Renders "SECURITY ALERT - CHAIN BROKEN"
     on the console UI (will be a lens-overlay on real hardware).
     Refuses to transmit any subsequent sensory chunks until a
     clean 0x81 SESSION_RESET handshake completes.

  5. Clean recovery
     ────────────────────────
     Tier 1 sends 0x81 SESSION_RESET. Tier 0 re-bootstraps via
     HKDF, derives fresh TIER_KEY[0], renders "READY TO RE-LINK",
     and resumes capture. The audit chain shows a deterministic
     break + re-bootstrap event, not silent data loss.

This is the difference between an audit chain that logs tampering and one that actively defends against it. Sovereign Tech Post 3 shows the dashboard mid-tamper: the chain breaks visibly, the glasses go dark, and the system recovers cleanly without operator intervention.

Trust boundary in v1: the chain bootstrap hands Tier 0 its key from Tier 1 over the link-encrypted transport. Tier 0 attestation is therefore not standalone in v1: an attacker who compromises the phone could in principle forge Tier 0 receipts. v1 provides cross-tier continuity with audit-time verifiability, not tamper-proof attestation from the sensor onward. Hardware-rooted attestation (TPM-style on-device key generation) is a separate v2 effort.

08Work packages (4 instead of 6)

WP-A · Receipt chain library + spec

WP-B · Lab substrate

WP-C · Tier 0 + Tier 1 emulators

WP-D · Audit dashboard + verification CLI


09Lab POC infrastructure

ResourceProvisioningState
AWS account348117807165existing
Regionus-east-2existing
VPCHowdify Lab VPC (to be confirmed)operator to specify or stand up new
Substrate computer7iz.4xlarge baseline (or r8i.8xlarge per Spike)on-demand, auto-stop
Storage4TB gp3 EBS for model weightspersistent
Receipt storehowdify-receipts DynamoDBexisting, new receipt_kinds added
HMAC root/howdify/receipt-hmac-secret SSM SecureStringexisting
Tier 1 intent classifierBedrock Haiku global.anthropic.claude-haiku-4-5existing
Audit dashboard hostingS3 + CloudFront E3UQDOQ06ROVSAexisting
Standing Rule 8 carve-out (intentional exception): HALO substrate runs Qwen3-Next-80B-A3B on KTransformers, NOT on Bedrock. This is a deliberate architectural exception. HALO's value proposition requires the substrate be a sovereign open-weights MoE running on client-controlled infrastructure. Future engineers should not "fix" it by routing to Bedrock. Bedrock remains the standard for Howdify Core; HALO is the new sovereign tier. Tier 1 intent classifier may use Bedrock Haiku because Tier 1 is a routing layer, not the sovereign substrate.

10Pre-kickoff gates

Two gates must clear before WP-A through WP-D start.

Gate A · Day-1 benchmark spike

Gate B · Lab VPC choice


11Timeline (2 weeks, solo, realistic)

PRE-KICKOFF (must complete before Day 1):
  ├─ Gate A: Benchmark spike on r7iz
  └─ Gate B: Lab VPC choice confirmed

Week 1:
  Day 1   - Benchmark spike on r7iz (or r8i if needed)
  Day 2-3 - WP-A receipt library + HKDF key derivation
  Day 4-5 - WP-B substrate FastAPI + KTransformers + Qwen3
  Day 5   - WP-A spec locked

Week 2:
  Day 6-8 - WP-C tier0 + tier1 emulators, end-to-end loop
  Day 9   - WP-D audit dashboard + verify CLI
  Day 10  - Tamper test + bug fixes
  Day 11+ - Sovereign Tech Post 3 drafted using audit dashboard as visual

12Cost projection

ResourceUnit costPOC monthly estimate
r7iz.4xlarge (Lab substrate, ~50hr/wk active)$1.35/hr~$268/mo
r8i.8xlarge fallback (if benchmark requires)$2.10/hr~$420/mo
4TB gp3 EBS$0.08/GB-mo$328/mo
Bedrock Haiku (Tier 1 classifier)$0.80/1M tokens~$5/mo at POC scale
DynamoDB receiptsPAY_PER_REQUESTmarginal
POC baseline~$350/mo
POC worst case (r8i + 24/7)~$1,500/mo

Order of magnitude cheaper than the v2 production-scoped budget. Matches Lab experimentation budget shape.


13Hardware graduation path

When the Halo open-source glasses arrive:

  1. Read the wire protocol spec at halo-receipts/spec.md (locked at end of week 2)
  2. Implement Tier 0 chunking + HMAC signing in the glasses' native firmware language (likely Lua or C)
  3. Replace transport from local WebSocket to BLE GATT
  4. Run the SAME tier1_emulator.py (now talking to real glasses instead of a fake Tier 0) for the first integration test
  5. Receipt chain works unchanged because the protocol is identical
  6. Then graduate tier1_emulator.py to a real Android Kotlin app, or hold it as a paired Linux/Mac client if the glasses ship with their own pairing pattern

Because the wire format and receipt schema are locked at POC time, hardware integration is mechanical, not architectural.


14What does NOT ship in POC

None of these block the POC. None of these block Sovereign Tech Post 3.


15Decision history (v1 → v2 → v3)

VersionScopeTrigger to pivot
v14-week production push, full physical-hardware build with Brilliant Labs Frame + Pixel 9 Pro + cellular + DEDICATED tier substrate + WLG demo videoSolo capacity review showed timeline was 6-8 weeks realistic, not 4.
v2Same 6 WPs as v1 but with hard pre-kickoff gates (Firebase AI Logic spike + KTransformers spike), HKDF key hierarchy spec, Standing Rule 8 carve-out, warm/cold TTFT split, solo execution acknowledgedWLG demo dropped, physical hardware deferred until Halo open-source glasses arrive. Lab POC becomes the right scope.
v32-week Lab POC. Python emulators replace Tier 0 + Tier 1 hardware. Substrate, receipt chain, protocol spec all unchanged. WP count drops 6 → 4.Current.
The architectural priority is unchanged across all three versions: the cross-tier HMAC receipt chain is the load-bearing primitive. Inference models commoditize. The chain is what compounds across use cases and verticals. If scope collapses, the chain ships first.

Status as of this writing

Receipt chain first. Hardware second. Demos third.