consulting · product · brand

Fix broken AI.

Ship clearer, more human AI products. We work with teams to make complex AI feel simple, useful, and trustworthy to the people who have to actually use it.

system · FixBroken OS
Untangling interface debt…
0s · 1 trust gaps mapped
Verbose · operating layer

The room behind the door.

updated just now
Carmel Valley · CA
°F
San Jose · CA
°F
Local · operator
Site · latency live
ms
FixBroken OS v0.1 IAD→online
Output · Operations

Three operations, one system.

We don't deliver decks. We work in the actual product, brand, and system until it behaves.

Op · 01 · Product

Unfuck the flow.

AI-native UX. Confidence signals, human checkpoints, recovery paths. Make the product feel like a tool, not a demo.

Start a conversation →
Op · 02 · Brand

Earn the room.

Positioning, language, visual system. Replace generic AI gloss with voice that reads credible to operators, customers, and investors.

Start a conversation →
Op · 03 · System

Make it shippable.

Pilot structure, commercialization, dealer / operator / customer interface. Translate technical capability into sellable workflow.

Start a conversation →
Philosophy · Product discipline

Six rules for useful AI.

AI products break when people cannot tell what the system knows, why it matters, or what to do next.

We help teams turn complex AI into products people can understand, trust, buy, and use.

01 · Signal over spectacle

If it does not clarify state, risk, priority, or next action, it goes.

What you get: Less noise. Faster decisions. Clearer value.

02 · Terminal clarity

Show structure, status, sequence, and output. Make the system feel legible without making it feel technical.

What you get: Users know where they are, what is happening, and what they can do next.

03 · Calm by default

Trust comes from restraint. Clean hierarchy, deliberate spacing, no sci-fi dashboard theater.

What you get: A product that feels credible in the boardroom and usable in the field.

04 · One command layer

Strong products need a center of gravity. Signals, actions, and decisions should organize around one clear operating layer.

What you get: Less feature sprawl. A stronger product story. A clearer path from demo to adoption.

05 · Signal color only

Dark canvas. Controlled neon. Color should mean something: state, action, risk, intelligence, or movement.

What you get: A product that feels advanced without getting loud.

06 · Human-readable intelligence

Good analytical products compound: data becomes insight, insight becomes implication, implication becomes scenario, scenario becomes recommendation.

What you get: AI people can explain, sell, adopt, and trust.

The intelligence ladder

Good analytical technology compounds in layers.

The strongest AI products do not start with recommendations. They earn their way there. Too many products jump straight to predictions before the user trusts the data or sees the implication. That creates magic-show software. It may look impressive, but it does not create confidence.

Our work helps teams build the full ladder. Clean data becomes visible insight. Insight becomes business meaning. Meaning becomes scenario thinking. Scenario thinking becomes better recommendations. Better recommendations create products people can trust, sell, and use.

01
Data
Clean ingredients. Trusted inputs. Clear definitions. No mystery math hiding bad foundations.
02
Insight
What happened? What changed? What pattern is visible now that was hard to see before?
03
Implication
So what? Why does this matter to the business, the workflow, the customer, or the decision-maker?
04
Scenario
What could happen next? What changes if the team chooses path A, B, or C?
05
Recommendation
What should the user do now? What action is supported by the evidence?
06
Prediction
Where is this likely going? What should the team anticipate before the signal becomes obvious?

The goal is not to make AI look impressive.

The goal is to make it useful.

tokenz · claude runtime · light cycles awaiting signal…
8s
42s
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lifetime proj/day rate
Signal · Current engagements

What's running.

VUMO · walkaround + brand active
(roster open) intake: 1/qtr
OPERATOREric Cotter
ROLECPO · brand · repair
BASEDSan Jose · Carmel Valley · CA
HOSTAWS Lightsail
REGIONus-east-2a · Ohio
NETWORKdual-stack · IPv4 + IPv6
SYSTEMFixBroken OS v0.1
TENANTSvumo.fixbroken.ai
UPTIME100%
System · NOC

The wire behind the wall.

all systems · nominal
▸ infra
hostAWS Lightsail
regionus-east-2a · Ohio
osUbuntu 24.04 LTS
stackNode 20 · Express · Nginx
tlsLet's Encrypt · auto-renew
▸ services all active
fixbroken
vumo
webhook
nginx
▸ deploy
triggerGitHub webhook
flowpush → pull → restart
latency~10s to live
stagingstage.fixbroken.ai
▸ design
systemFixBroken OS v0.1
components.fb-* (25+)
fontsInter + JetBrains Mono
signature#ff3ec9