AI-Driven Smart Home Architecture

Two pillars power my smart home: an AI DevOps pipeline that builds it, and an AI automation layer the whole family uses every day.

The Two Pillars
Building vs. living in an AI smart home
🤖
AI DevOps
Building & maintaining the smart home
Human
👨‍💻 Daniel a.k.a. The Smart Home Maker
AI Assistant
🤖 Claude Code (Opus)
Task Management
Todoist
📝 Nova Notebook
📨 Email Summaries
Development
💻 n8n Workflows
🏠 HA Automations
📡 ESPHome Configs
🧱 3D Printing / CAD
🏠
AI Smart Home
Used daily by the whole family
Users
👨‍💻 Daniel = Dad (Smart Home Admin)
👩 Mom
👧 Daughter
👦 Son
Input & Triggers
💬 Telegram Chat
🎤 Voice PE
📱 HA App & Dashboards
📡 Sensors & Devices
📧 Email & Services
Schedules
Processing
🔀 Telegram & Voice Router
🔒 PII Protection
🧠 Smart Home Agent
AI / LLM
☁️ Claude / GPT (Cloud)
💻 Local LLMs
Actions & Use Cases
☀️ Morning Briefing
💡 Lights / Scenes
🌡️ Climate
🎁 Birthday Greetings
Caffeine Tracker
📦 Inventory
🔊 Smart Notifications
📊 Family Dashboard
📷 Cameras
🔊 Noise Monitor
🎧 Content Pipeline
📧 Email Agent
Message Flow
From Telegram chat to smart home action
💬
Telegram
User writes or speaks
🔀
Router
Detects context
🔒
PII Protection
Anonymizes personal data
🧠
AI Agent
Understands & acts
🏠
Home Assistant
Executes action
🔒 PII Protection: Privacy Despite Cloud AI
Personal data never leaves the local network
👤 "Call Lukas"
🔒 Presidio
(local, self-hosted)
👥 "Call [PERSON_1]"
☁️ Cloud LLM
👥 Response with [PERSON_1]
🔓 De-Anonymize
(local, self-hosted)
👤 Response with real name
What Nova Can Do
Examples of AI-powered features in everyday life
☀️
Morning Briefing
Weather, calendar, trash pickup, family stress score via voice
🎁
Birthday Bot
Reminds & drafts WhatsApp greetings with personal context
📦
Inventory
Photo → AI recognition → project assignment → dashboard
📧
Email Agent
Nova answers emails, tracks Amazon orders automatically
🔊
Smart Notifications
Context-aware: noise alerts, doorbell, motion
Caffeine Tracker
Counts coffee cups, warns at WHO limits
📊
Family Dashboard
Stress score, sleep, energy, calendar at a glance
🎧
Content Pipeline
YouTube clips, blog posts, podcast transcripts automated
Tech Stack
Home Assistant
n8n
Claude Code
GPT-4o
Presidio (PII)
Telegram Bot API
ESPHome
Tailscale
Docker
Local Server
Mac Mini
Zigbee / Z-Wave
MQTT
UniFi

Nova Inventory Management

Automated hardware inventory with AI recognition — a deep dive into one of Nova's most powerful features.

Input
📷
Photo Form
Snap a photo, AI identifies the component
📦
Amazon Email
Shipping & delivery confirmations auto-detected
🤖
Telegram / Voice
"Do I have an ESP32?" — inventory lookup
1
AI Recognition
Photo: GPT-4o Vision reads chip markings, component values and specs.
Amazon: LLM extracts product name, ASIN, price and order number.
Detected: ESP32-C3 SuperMini
WiFi Bluetooth 3.3V USB-C
2
Telegram Approval
Nova sends a preview via Telegram. Daniel decides with a single tap.
📦🚚 IN TRANSIT from Amazon

• ESP32-C3 SuperMini (x2)
• DS18B20 Temp Sensor

🔖 305-2764042-0194728

Add to inventory?
✅ Yes
❌ No
🔍 Project Assignment & Storage Location

Each piece can be assigned to a different project. Location → Bin (hierarchical).

🔧 Desk Control Panel
📻 Smart Home Remote
+ New Project
3
Inventory Entry
Item saved with all data: photos, description, specs, project, storage location.
🔥
ESP32-C3 SuperMini
microcontroller Desk Panel x1 Remote x1 • 2x • Office > White Cabinet
4
Status Tracking
Amazon orders tracked automatically: In TransitDeliveredIn Stock. No manual action needed.
📦✅ DELIVERED: ESP32-C3 SuperMini
Status automatically set to "in_stock".
Usage
📋
Dashboard
Searchable, filterable, with photos and full details
💬
Voice Search
"Do I have any ESP32s left?" via Telegram or voice
🔧
Project Mgmt
Track components per project
🎧
Content Pipeline
Projects feed into blog posts, videos, build logs
🏷️
Label Printing
QR codes for bins and items
Explore More
Dive deeper into specific aspects of this AI smart home

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