Simpsonville, South Carolina

Brad Shannon

AI Product Leader & Builder

AI by discipline. Wild light by devotion.

I build AI products end to end — from prototype to production to the operations that keep them running. Twenty-five-plus years across IT, cybersecurity, and cloud gave me the systems instincts; the last several have gone into shipping AI software that real teams depend on.

AI product leaderUSMC VetWildlife photoSimpsonville, SC
Brad Shannon profile

@bradshannon

Director of Product Management — Summit 7

Years in IT

25+

security & cloud

Live products

4

shipped & operated

GitHub stars

120+

open-source tools

Print edition

25

limited wildlife

Chapter one — working systems

AI products — built, shipped, and run.

From bradshannon.me/work. Filter the stack, open a card, jump to the live site.

A control plane for AI agents that need to take real actions — approvals, allow-lists, audit trails, and kill switches before side effects hit production systems.

  • Agents
  • Security
  • Governance
Visit agentactionfirewall.com

Product I designed, shipped, and operate — focused on turning messy operational context into clear next steps for operators and builders.

  • AI product
  • Ops
  • SaaS
Visit vitly.ai

Built end-to-end for hospitality and guest workflows — practical AI, not demo-ware, with the ops layer to keep it running.

  • Hospitality
  • AI
  • Workflows
Visit guestgem.com

A builder surface for spinning up agent-oriented tools and experiments quickly — the same five-day cycle energy, productized.

  • Agents
  • Builder
  • Tools
Visit clankerbuilder.com

Utilities and experiments I publish when the work is useful beyond my own stack — security, cloud, and AI plumbing.

  • GitHub
  • Open source
Visit github.com/fubak

Layers

Builder, operator, field photographer.

Grounded in bradshannon.me/about. Tap a layer for the full stack.

Path

An interactive career map

Scrub the chapters. Service, systems, product leadership, builder now.

Active chapter · 01 / 04

U.S. Marine Corps

Discipline, accountability, and showing up under pressure — the operating system everything else still runs on.

Chapter three — the record

Mission-driven, measured.

25+

Years in IT · security & cloud

4

Live products · shipped & operated

120+

GitHub stars · open-source tools

25

Print edition · limited wildlife

Credentials

  • Director of Product Management — Summit 7
  • Founder — Agent Action Firewall
  • U.S. Marine Corps veteran
  • BS, Cybersecurity & Information Assurance — WGU

Manifesto

I build with AI — products, platforms, and the operations that keep them running.

Then I drive west, wait for dawn, and photograph what no system can schedule.

I'm currently Director of Product Management at Summit 7, where I build managed-services solutions for complex, regulated environments. Outside that, I'm the founder of Agent Action Firewall and the builder behind several live AI products — Vitly, GuestGem, and ClankerBuilder among them — each one designed, shipped, and operated by me from idea to users. Before software, I served as a U.S. Marine. Away from the keyboard: wildlife photographer, Canon 80D with a 300mm f/2.8L, chasing light most people are still asleep for.

Available for talks on AI product leadership, agentic systems, and building in public.

Constellation

Interests you can poke

Hover or tap a node. ADHD-friendly map of what pulls focus.

Selected

AI products

Shipping AI that operators can actually run — not slide-deck demos.

Tip: scrub nodes on desktop — each one lights a different thread.

Chapter two — field notes

Wild light. Editions of twenty-five.

Real frames from the field notes. Open a photo. Flip the manifesto.

Field notes

AI by discipline. Wild light by devotion.

Operating motto

Terminal

Talk to the harness

Auto-plays a short intro, then accepts commands: whoami, ls ~/products, agents status.

brad — zsh — 80×24

brad@sc ~ interactive shell · type help

$

Ship test

Would Brad ship this?

Four quick decisions. Score yourself against the Brad operating system.

Question 1 of 4

A prototype works. What's next?