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AI that watches what humans can't

HAM: AI House Management

AI-powered system analyzing 100,000+ hours of 24/7 streaming

100,000+
Hours of Content
11+
Years Streaming
4
Platforms Monitored
24/7
Processing

Overview

Since 2013, StreamerHouse has been broadcasting 24/7. That's over 100,000 hours of content—more than any human could ever watch, let alone analyze. HAM (House Automation Management) is our solution: an AI system that watches everything, remembers everything, and turns overwhelming amounts of video into actionable intelligence.

Every stream output from vMix—gameplay, webcams, microphones, Discord audio, scene changes—is timestamped and fed into HAM's processing pipeline. The AI watches in near real-time, understanding who's streaming, what game is being played, what's happening in chat, and identifying moments worth clipping. It builds a complete picture of every streaming session without human intervention.

The daily journey reports are where HAM really shines. Each morning, the system generates comprehensive summaries: what was played, who streamed, peak viewer moments, chat highlights, notable events, and auto-generated clips of the best content. Moments that would be lost in the endless flow of 24/7 content are now captured automatically.

But the real power is in the archive. Want to know every time we played a specific game? Every appearance of a particular community member? The funniest moments from 2019? HAM makes 11+ years of streaming history searchable and accessible. We're building institutional memory for StreamerHouse—something no other streaming operation has because the data was always too overwhelming to process. Until now.

Key Specifications

vMix output capture with precise timestamping
Multi-stream video analysis (gameplay, webcams, screens)
Audio processing for speech and Discord conversations
Real-time chat aggregation across Twitch, YouTube, Kick, Discord
Automated highlight detection and clip generation
Daily journey reports with AI-generated summaries
Searchable archive spanning 11+ years of content
Pattern recognition across 100,000+ hours of video

Equipment & Components

vMix Capture Pipeline

Timestamped capture of all production outputs for AI processing

Sources
Gameplay, cams, audio
Complete capture
Format
HLS streams
Low-latency delivery
Timestamps
Frame-accurate
Precise synchronization

SAGE Compute Cluster

Intel Xeon workstation with GPU acceleration for AI inference

CPU
Xeon w9-3475X
36 cores, 72 threads
RAM
512GB DDR5 ECC
Enterprise-grade memory
GPU
RTX 5080 + RTX 4060
Dual GPU inference

Multi-Platform Collectors

Real-time data aggregation from all streaming platforms

Platforms
Twitch, YouTube, Kick
All major platforms
Data
Chat, events, stats
Complete telemetry
Processing
Apache Kafka
Stream processing

Journey Report Generator

AI-powered daily summaries of streaming activity

Frequency
Daily reports
Automated generation
Content
Highlights, clips, stats
Comprehensive summaries
Archive
Searchable history
11+ years indexed