ALL OUT OF BUBBLEGUM LLC

Intelligent systems
for work that
actually has to work.

We connect applied AI, local compute, governed automation, and custom hardware to turn expensive workflows into measurable systems.

SYSTEMS THINKING. HUMAN JUDGMENT.EXPLORE THE SYSTEM
APPLIED AIPRIVATE COMPUTEGOVERNED AUTOMATIONSIMULATION ENGINEERING
01ONE SYSTEMS PRACTICE

Two disciplines. The same engineering instinct.

Design around the work. Understand the constraints. Make every part work together.

02START WITH THE WORK

Buying AI is easy.
Building a reliable system
around it is the hard part.

Subscriptions multiply. Pilots stay disconnected. The impressive demo never quite becomes a dependable workflow. We begin with what happens, how often it happens, what failure costs, and how success can be measured.

03PHX APPLIED AI

Intelligence with its feet on the ground.

A system should show its work, respect its boundaries, and know when to ask a human.

01 /

Private by design

Local and private inference, with clear boundaries around where your information goes.

02 /

Governed agents

Bounded workflows with explicit permissions, ownership, and human checkpoints.

03 /

Evidence you can inspect

Retrieval that keeps the source, context, and reasoning within reach.

04 /

The right model for the work

Local, cloud, and hybrid routing with deliberate fallback paths.

05 /

Costs in plain sight

Token, cost, and performance observability built into the workflow.

06 /

You keep the controls

Human approval before consequential actions. A clear record afterward.

  1. 01Intake
  2. 02Evidence
  3. 03Reasoning
  4. 04ApprovalHuman checkpoint
  5. 05Action
  6. 06Audit
Step inside an illustrative PHX environment

REPORTED WORKLOAD / ARCHITECTURE NOTE

57.95 million tokens.
One architectural lesson.

Agent loops can reread a growing history again and again. A reported local workload shows why context, routing, and observability belong in the design from day one.

Inspect the numbers and their limits
57.95M TOKENS
Input
51.5M
Output
6.45M
Two combined local workloads. Reported in the project handoff; original logs have not yet been independently reproduced. Not a controlled benchmark.

AOG SIMULATION ENGINEERING

The same systems discipline.
At full scale and full speed.

From the frame to the final feedback loop: simulator design, displays, controls, haptics, networking, and the operational details that make the whole experience work.

From components to a complete system
DISPLAY ARRAYMODULAR PLATFORMCONCEPT / 001ILLUSTRATIVE SYSTEM CONCEPT / NOT A PROJECT PHOTOGRAPH
IN DEVELOPMENT

The Shell

Pit strategy without fighting the mouse. A developing iRacing pit-assistance concept built around deterministic telemetry and explicit pit plans. The optional AI layer explains and advises.

Explore the design and release gates
THE CLEAN-BOX INVARIANTCLEAN
or one explicit plan.
Simulation only. Live validation pending.
04HOW WE WORK

A useful result starts with a defined problem.

The value is in the workflow—not the number of models, nodes, or agents inside it.

THE PERSON BEHIND THE SYSTEMS

Built by someone who has had to make complex systems work in the real world.

Darien Fleming brings aircraft systems, avionics, custom hardware, and high-fidelity simulation experience to applied AI. The throughline: verify the signal, control the failure modes, and make the result useful to its operator.

Meet Darien

LESS GUESSWORK. MORE USEFUL WORK.

Start with one expensive workflow.

If a process is frequent, costly, repeatable, and measurable, let’s find out what a better system could do.

Book an AI Systems Audit