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System Design Document: Agentic CEL Rule Engine

Status: Draft v1.0 Author: Sensemesh Architecture Team Context: Event-Driven Architecture, gRPC/Protobuf, Go, NATS

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1. Executive Summary

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WebAssembly (WASM) Offloading Analysis

Date: January 25, 2026 Scope: Client-side optimization, Cost Reduction, Bandwidth Efficiency

1. Executive Summary

Moving the initial stages of the AIBatcher pipeline (technical filtering, deduplication, and face detection) to the client-side using WebAssembly (WASM) presents a massive opportunity for optimization.

By filtering out low-quality and duplicate images before upload, we can reduce bandwidth consumption and server-side processing costs by approximately 80%. This transforms the workflow from "Upload All -> Process All" to "Filter Locally -> Upload Best -> AI Grade".

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WebAssembly (WASM) Offloading Analysis

Date: January 25, 2026 Scope: Client-side optimization, Cost Reduction, Bandwidth Efficiency

1. Executive Summary

Moving the initial stages of the AIBatcher pipeline (technical filtering, deduplication, and face detection) to the client-side using WebAssembly (WASM) presents a massive opportunity for optimization.

By filtering out low-quality and duplicate images before upload, we can reduce bandwidth consumption and server-side processing costs by approximately 80%. This transforms the workflow from "Upload All -> Process All" to "Filter Locally -> Upload Best -> AI Grade".

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WebAssembly (WASM) Offloading Analysis

Date: January 25, 2026 Scope: Client-side optimization, Cost Reduction, Bandwidth Efficiency

1. Executive Summary

Moving the initial stages of the AIBatcher pipeline (technical filtering, deduplication, and face detection) to the client-side using WebAssembly (WASM) presents a massive opportunity for optimization.

By filtering out low-quality and duplicate images before upload, we can reduce bandwidth consumption and server-side processing costs by approximately 80%. This transforms the workflow from "Upload All -> Process All" to "Filter Locally -> Upload Best -> AI Grade".

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Claude Code Extension Points

A Team Presentation (30-45 min)

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Agenda

1. Prerequisites & Setup (5 min)
2. What is Claude Code? (5 min)
3. Extension Points Overview (5 min)

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Migrating from Claude Code to Google Antigravity

This guide outlines how to migrate the current Claude Code + Muxile workflow to Google Antigravity (VS Code-based AI IDE).

1. Directory Structure

Create the configuration directory in your project root:

mkdir -p .antigravity/{config,scripts,prompts}

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Muxile Integration Guide

What is Muxile?

Muxile is a tmux plugin that provides mobile web access to your running tmux sessions. It creates a secure WebSocket tunnel through Cloudflare Workers, allowing you to monitor and control your terminal from any device with a web browser.

Why Use Muxile with Claude Code?

When running long-duration Claude Code tasks (multi-step refactoring, data processing, batch operations), you can:

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Mission Alerting System - Technical Overview

Overview

The Mission Alerting System enables real-time rule-based alerting on detection events from cameras and sensors. When a detection event matches a CEL (Common Expression Language) rule, the system executes configured actions (SMS notifications via Twilio).

Architecture

Detection Events (NATS)  →  Detection Consumer  →  Rule Processor  →  SMS Delivery

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Week 3 Implementation Plan: Missions & Alerts

Executive Summary

Recommendation: Enhance Mission Service with CEL-based rule evaluation by incorporating proven code from Alerts Service.

Key Insight: Mission service is the correct home for mission automation. We'll add CEL evaluation capability, SMS/Email delivery, and event processing to mission service by copying proven implementations from alerts service.

Schema Approach: Extend AutomationPolicy to support both CEL expressions (Week 3) and natural language instructions (future AI). This allows simple rules now while preserving the path to AI-driven automation.

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Monorepo Migration Guide

Date: 2026-01-12 Target: Consolidate SkyDaddy repositories into a unified monorepo Primary Concern: Proto package naming and Go module path resolution

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