// Jeremy Knox — AI Operator

They’re not smarter.
They run better systems.

I run an autonomous AI agent fleet in production. The Academy teaches the exact framework it runs on — signal over noise, systems over hype.

// The Academy

Stop being a prompt sender.
Start running systems.

Four tiers, 86 tracks, 700+ lessons — built from systems running live in production, not benchmarks. From your first prompt to a fleet of autonomous agents.

Free — Get the model· 16 tracks · 92 lessonsPlus — Master the prompt· 23 tracks · 155 lessonsPro — Build the system· 60 tracks · 499 lessonsElite — Command the fleet· 86 tracks · 729 lessons
700+ LESSONSThree ascending tier platforms — Free, Pro, Elite
Operator AscentFree → Plus → Pro → Elite
NewCCA Certification Prep — prepare for the Claude Certified Architect exam
Start Prep →

// The Operation

One operator. A fleet on duty 24/7.

Verified readout
Merged PRs · across the operation
4,500+

A GitHub-verified floor, not an estimate — and the full output audit is public.

Contentmedia + publishing
Governancequality gates
Intelnews + trends
Researchdeep dives
Monitorhealth + uptime
Studiovideo + design
[verified 2026-06-06] PR + repo floors checked against the GitHub org · source of record[built 2026-08-12] numbers bake in at build time — nothing on this page is simulated · static export[receipts] read the full output audit · see the receipts
// THE OPERATION — VERIFIED 2026-06-06

These aren't benchmarks. They're what's possible when one person runs the right system.

53/day
Engineering Output
325
AI Agents in the Fleet
110+
Repos Orchestrated
90+
Apps Governed
700+
Academy Lessons
// THE PROOF

These systems are built from running code.

The fleet's first 147 days: 7,474 commits, 19 systems shipped to production — every number from a published, point-in-time audit, not a live counter.

7,474
Commits
19
Systems Shipped
147
Days

POINT-IN-TIME · THE FIRST 147 DAYS · AUDIT TRAIL →

This is not a proof of concept.

These are autonomous agent systems running 24/7 — content pipelines behind a 729-lesson academy, memory systems that let agents learn from prior decisions, governance that gates every ship. All running in production — audited here.

// BUILT WITH THIS FRAMEWORK

AI Agent Systems I Built and Run

Every system below was built with the same framework the Academy teaches — same architecture, same discipline, same receipts.

PRIMARY MISSION

Tesseract Intelligence

Five-layer AI Operating System. 54 apps. Receipted, verified, and cost-attributed. The Governance Layer went live April 13, 2026 — 77 tests, one session.

v2 LIVE

Akashic Records

One searchable memory for my entire operation — every lesson, decision, and doc, retrieved by meaning instead of keywords. 10 MCP tools, 92% test coverage.

49 SERVICES

Mission Control

The single pane I run everything from — live agent status, content pipeline, and ops health across 49 services. 54 monitors, 14 panels.

// THE SOFTWARE

Don't just watch the fleet. Use it.

The products the agent organization built and runs — real users, real production, open for business. This is what the fleet is for.

◆ FlagshipLiveacademy.jeremyknox.ai

Academy

Stop being a prompt sender. Start running systems.

The AI Operator's Academy — 86 tracks, 700+ lessons, every one built from systems running live in production. From your first prompt to a fleet of autonomous agents you run yourself.

86 tracksBoss exams + badgesFree / Plus / Pro / Elite
// ONE FRAMEWORK, TWO PATHS

Two paths. One operator.

Everything on this page runs on one framework — the one the Academy teaches. Learn it, then build with it. Systems over hype, in every lane.

Learn the Framework

I don't know how much time I have before the gap becomes uncloseable. I'm already behind.

In 30 days you go from AI tourist to AI operator. You'll have a system — not just a tool.

  • 700+ lessons, zero fluff — built from live systems, not theory
  • Free tier: start today, no commitment
  • Knox's receipts: 1,060 hours of output in 20 days — one person, real systems

Build Real Systems

I can write prompts. I can use ChatGPT. But I have no idea how to build something that actually runs.

Build and deploy autonomous agent systems the same way Knox runs 110+ repos in parallel — with real infrastructure, real architecture, real results.

  • 110+ active repos managed by one operator
  • Tesseract Intelligence — 54 apps, 5 layers, live 24/7. The finished version of what the Academy teaches
  • Real devlogs: architecture decisions, failures, pivots — not highlight reels
// AI BUSINESS IDEAS

Need a business idea that AI can run?

Check out our ideas — each one scored against Blueprint's real ERS engine with an honest verdict, revenue models, and a Pressure Test.

See the ideas
// Latest Signals

Recent Intelligence