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We don't just advise.
We ship.

It is easy to talk about AI. It is harder to put a product in front of real people, get it through Apple's and Google's review, and then be accountable for the AI running inside it every day. We have done that — and everything we learned doing it is what you get when you hire us.

Plainly stated

A different company. The same hands.

IntroVertigo is not an AIIS product. It is built and published by Fogotta, LLC — a separate, independent software studio also founded by Ryan Conway. Two companies, two purposes, no shared client data.

We tell you that up front because the point isn't the app. The point is that the person who will sit across the table from you doesn't only advise on AI — he designs it, builds it, secures it, ships it through other people's review gates, and then stays responsible for it while real users depend on it.

That is a different kind of credential than a certificate. You can download it and use it today.

aiis proof --show
aiis ~ $ proof --show
→ product ...... IntroVertigo
→ studio ....... Fogotta, LLC
→ platforms .... iOS · Android
→ first commit . 14 Jun 2026
→ google play .. 13 Aug 2026
→ app store .... 18 Aug 2026
→ ai in prod ... support agent, governed
aiis ~ $ _
60Days to first store listing
2App stores, both approved
1Person, working with AI
24/7AI answering real users
What this actually demonstrates

Four things a slide deck can't show you.

A demo proves someone can prompt a model. Shipping proves the rest — the parts that decide whether AI survives contact with your business.

Governed AI, running in production

IntroVertigo's front-line support is answered by an AI. She introduces herself as an AI and never claims to be a person. She escalates to a human the moment she is unsure, cannot act, or sees a safety concern — and when the human takes over, she stands down on that conversation until she is handed it back. That handoff is not a prompt instruction; it is enforced in code.

Privacy engineered, not promised

The app keeps a permanent record of what people struggle with, so the product can improve. It contains no user id, no email, and no verbatim text — the column simply does not exist, so deletion cannot orphan it and no future query can re-identify it. The privacy guarantee is structural. That is the difference between a policy and a design.

It passed other people's gates

Apple and Google both review what you submit — privacy declarations, data-safety disclosures, content policy, subscription terms, account deletion. Getting a product with AI, notifications, payments and user-generated content through both is a compliance exercise as much as an engineering one. We have done that paperwork, not just read about it.

Built with AI, end to end

Server, mobile app, infrastructure, store assets, legal pages — one person, working with AI throughout, in sixty days. Not because AI wrote it unattended, but because the work was structured so a small operation could move like a large one. That structure is exactly what we bring into your business.

The part most people skip

We govern our own AI before we govern yours.

Anyone can bolt a chatbot onto a support inbox. The questions that decide whether it belongs in a business are the boring ones: what happens when it is wrong, who is accountable, what does it keep, and what does it do when someone is in real distress?

We answered those on our own product, in production, before recommending anything to a client. Here is what that looks like in practice.

01

Disclosure is non-negotiable

The AI states plainly that it is an AI. If someone asks whether they are talking to a person, it answers honestly and offers to bring one in.

02

A human is always reachable

Low confidence, anything needing a real decision, and every billing or safety issue routes to a person — with the full context attached, not a ticket number.

03

Safety has a defined protocol

The AI does not counsel or diagnose. Distress triggers a documented response and an immediate human flag. Nothing about that conversation is retained for analysis.

04

What it learns is anonymous by construction

Improvement data holds the shape of the problem and nothing about the person. Not by policy — by a schema with nowhere to put a name, and a code-level scrub underneath it.

What this means for you

You are hiring the person who has already done it.

We have made the mistakes already

On our own product, at our own cost. The traps we found — the ones that only appear after real people are using something — are the ones we now design around from day one instead of discovering in your environment.

We can build, not just configure

Deploying a commercial tool well and building something custom are different skills. We do both, which means the recommendation you get is the right one rather than the only one we know how to deliver.

We stay accountable after launch

A shipped product is never finished — it is monitored, corrected and improved. That is how we work on ours, and it is how we structure the care we offer on yours.

The shipped product

This is what sixty days shipped.

Straight from the app: two weeks of one person's social battery — full days, low days, a rough weekend — and what a friend's circle quietly sees when someone is running on empty.

IntroVertigo — two weeks of daily battery bars in green, amber and red, with one tapped day showing its three check-ins IntroVertigo — the buddies view: a friend marked 'Give space' with their two-week trend and a gentle care prompt
IntroVertigo app icon

See it for yourself.

IntroVertigo is live on both app stores. Download it, use it, and judge the work directly — that is the point of publishing this page rather than describing it.

Ready to put AI to work, safely?

Start with a free, no-pressure consultation. We'll find where AI could genuinely help your business and give you a clear, honest answer about what's worth doing.