Video Library
Workshops, demos, and deep-dives on building and running autonomous agents with Trinity. Grouped by topic, newest first within each group.
New recordings land most weeks
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Start Here — Platform Overview
Trinity v0.9.0 — Release Tour
Multi-agent org structures, Workspace in every build, the shared skills library, bidirectional A2A
Trinity Architecture Explained
Animated explainer (4:44): one scheduled task end to end — container, gate, delegation, approval, audit, breakers
Trinity v0.8.0 — Release Tour
Voice replies across channels, Brain Orb, Grid dashboard, enterprise identity
Trinity Platform Demo
Full UI walkthrough, end to end
The Multi-Agent Platform I Run My Company On
Live fleet tour: delegation, memory, observability
The Sovereign AI Setup That Changed Everything
The Platform That Runs My Entire Business
Trinity: Secure Infrastructure for Autonomous AI Agents at Scale
Why I Stopped Renting AI Agents (And Built My Own)
The sovereign-vs-SaaS case
Trinity: Sovereign Infrastructure for Autonomous AI Agents
Workshops — Live Recordings
How I Run My Company with a Fleet of 30 AI Agents
Hierarchical fleet as an org chart — orchestrator, managers, workers; shared canon, permission matrix, human gates
Make Claude Code Agents Run Autonomously on Trinity
Analyze, standardize, and migrate home-grown agents into a managed Trinity fleet with the agent-dev plugin
How to Build a Second Brain for Your AI Agents
The 5 rules of agent knowledge: Decisions / Facts / Judgment, knowledge as code, human-endorsed canon
Building & Deploying Agents
Make Claude Code Agents Run Autonomously on Trinity
Analyze, standardize, and migrate home-grown agents into a managed Trinity fleet with the agent-dev plugin; deploy from GitHub
One Agent Per Client: A Scalable AI Service Platform
The one-agent-per-client pattern for agencies — sovereign, isolated agents with their own data, credentials, channels, and real guardrails
Build an AI Recruiter Agent with Trinity + Claude Code
Zero to deployed, channel-exposed agent
I Built a DevOps Agent That Deploys Other Agents
Provision and self-host a Trinity instance
Why Every AI Agent Needs a GitHub Repo
Git-as-state, backlog work loops, dashboards
3 AI Agents Run My Entire Software Development Pipeline
The dev-methodology SDLC
Plugins + Trinity: Build and Deploy Agents in Cursor
No terminal required
Building Agents — Playbooks, Plugins, Deployment
From Zero to Deployed AI Agent
Your first Trinity agent
My Dev Workflow for a Large System Using Claude Code
Automation & Loops
Build Autonomous Loops for Your AI Agents
Loops vs. schedules, stop signals, failure modes
Multi-Agent Orchestration
How I Run My Company with a Fleet of 30 AI Agents
Hierarchical fleet as an org chart — orchestrator, managers, workers; shared canon, permission matrix, GitHub-issue PM, human gates
How We Automate Our Own Ops & Marketing
A real multi-agent business system, live
Building AI Agent Swarms That Actually Scale (Mrinal Wadhwa)
Architecture deep-dive
Memory & Knowledge Agents (Cornelius)
How to Build a Second Brain for Your AI Agents
The 5 rules of agent knowledge: Decisions / Facts / Judgment, knowledge as code, a mind-center agent, human-endorsed canon
Cornelius AI Agent — Architecture Explained
Insights → typed knowledge graph → autonomous reasoning to convergence, gated by human endorsement
Cornelius & the Brain Orb
A second-brain agent renders and talks to its own 3D knowledge graph
Ananda — a Second Brain Built on Cornelius
Another knowledge agent built on the Cornelius template and Brain Orb
I Gave My AI Agent an Unconscious Mind
Autonomous perception → deliberation loops
I Let Cornelius Analyze the Hantavirus Outbreak
Structured analytical reasoning loop
I Gave My AI Three Years of My Notes. Then I Interviewed It.
Voice chat with a knowledge agent
I Gave My AI Agent a Brain — Here's What Happened
Memory as a shared, evolving service
Second Brain AI Agent with Swappable Brains
AI Second Brain with Claude Code and Obsidian
The original build
Use Cases & Case Studies
Measurably Self-Improving Multi-Agent System Without Retraining
Brier HQ — a forecasting fleet with five feedback loops, no retraining; walkthrough of the closed-loop-forecasting research
How I Built an Agent That Makes Movies While I Sleep
Long-running creative production + heartbeat
Investigative Analysis of Epstein Files Using an AI Agent
Knowledge graph over a messy corpus
Control My DGX Spark From Anywhere
Trinity on local/edge hardware over Tailscale
I Let AI Agents Build My Entire Webinar
Agent as a daily-work collaborator
How AI Agents Power Our B2B Marketing Pipeline
From Transcript to Scheduled Posts in 30 Minutes
The content pipeline, short cut
My Secret Content Creation Pipeline: Video to Multi-Platform Posts
Concepts & Strategy
How to Implement AI Support Without Risking Customer Trust
Phased, safe rollout methodology