Imagine how much you could get done if you had proper AI working for you at its full potential.

About . The team of two . The philosophy

Andrew Warner built StarMynd to be the senior partner in every operator's room.

The team of two that brings a CPA's eye for what the business actually does, a marketing CFO's instinct for what moves the metric, and a DTC founder's scar tissue for what breaks at scale. Designed to be the principled architecture and the steady relationship every CMO wishes she had on retainer.

You own everything It is portable forever We empower, never replace
See What Starmynd Sees in your business data Read the philosophy
The founder

Andrew Warner.

The operator who became the architect, not the architect who showed up looking for operators.

Founder . CPA . Architect Andrew Warner Nashville. Author of the Infinite Entry framework. Maintainer of the open-source Infinite Brain OS.

Andrew is a Certified Public Accountant and spent 10 years as a marketing CFO managing more than $150 million in marketing spend across DTC ecommerce, subscription, and consumer brands. He sat in the seat the buyer sits in. He has run the meeting where the board asked for AI and the CTO raised an eyebrow. He has been the one to tell the CMO that the attribution number is not the number she thinks it is.

He then built and sold a DTC ecommerce brand. He has been the founder writing the email, hiring the freelancer, looking at the Shopify dashboard at midnight asking why the AOV moved. That stretch is why the StarMynd voice does not sound like an AI vendor and does sound like an operator who has lived in the operator's chair.

For the last two years he has been shipping principled AI architectures into paying client environments. He authored the Infinite Entry framework from the operator side. He maintains the canonical reference implementation, the open-source Infinite Brain OS repository, which publishes June 10, 2026.

LinkedIn YouTube GitHub Book Andrew
The delivery model

A team of two.

StarMynd's Architect engagement is not a one-person show and not a 50-person agency. Two people. Capacity capped on purpose.

Architect . CPA . Founder

Andrew Warner

Andrew owns the architecture layer. He scopes the engagement on the diagnostic call, designs the AI workflow shape against the team's actual problem, runs the four-approval document with the client CTO, and stays on as the senior reviewer when complex workflow design choices come up. He is the technical backstop. He is the one who has done this for a DTC subscription brand whose CTO countersigned.

Andrew's signature artifact is the 4-approval CTO alignment document: GitHub source-of-truth structure, tool calls plus Secret Manager, BigQuery in an isolated GCP project, Paperclip orchestration on a client-only VPS. The CTO countersigns. The CMO walks into her next board meeting with the architecture defended.

Relationship partner . Operator-side

Dominic

Dominic owns the relationship layer with operators. He is the steady weekly contact for the CMO and her team. He sits in the team interviews. He runs the 1-on-1 onboarding sessions in week 2 of every engagement. He is the reason the Hero Transfer actually transfers, because he is the one who patiently walks each team member through the new workflow until they can break it and fix it themselves.

When Andrew is heads-down on the architecture review or backstopping a parallel engagement, Dominic runs the front of house. The CMO and her team never wait, never get ghosted, never feel like a side project. The relationship is his job and he is the answer to the LinkedIn AI guy who responded slow and disappeared.

Hard capacity cap

Three simultaneous Architect engagements maximum. Not a marketing line. A capacity wall. When the three slots are filled, the next client waits for one to free up. The cap is what keeps the delivery quality real, the relationship intact, and the CMO from becoming a side project.

Three themes . Nine principles

The philosophy every engagement runs on.

These are not marketing copy. They are how Andrew builds. Every line below is operationalized in the Scentbird-proven 4-approval CTO alignment document and in the open-source repo.

Theme 1

You own everything.

  • 1.1

    GitHub is the source of truth.

    Code, qualitative data, prompts, agent definitions, department canons all live in your GitHub. Every change is in git history. Every decision is auditable. We commit to your repos, not ours.

  • 1.2

    Isolated GCP project per company.

    Quantitative data lives in BigQuery inside an isolated GCP project under your name. Secrets and tool-call credentials live in Google Secret Manager inside the same project. No comingling, no shared datasets, no cross-project queries.

  • 1.3

    Self-maintain whenever you want.

    Your team can take over operations of everything we build at any point. Source data is in your GitHub. Numbers are in your GCP project. Tools are open-source. Migration is mechanical, not architectural.

Theme 2

It is portable forever.

  • 2.1

    Open-source integration.

    We build on open-source primitives (GitHub, Claude Code, Codex, Paperclip, N8N, BigQuery, Secret Manager) rather than proprietary SaaS. Open-source means you can fork, self-host, or migrate. Proprietary SaaS means you cannot.

  • 2.2

    Tool-swappable.

    Architectures are designed so individual tools can be swapped for current alternatives or future industry standards without rewriting the rest. Better orchestration UI replaces Paperclip in 18 months, you swap Paperclip out, not the whole stack.

  • 2.3

    Model-agnostic.

    We do not couple your architecture to one AI model. Today Claude leads in coding agents. Tomorrow it might be Codex, Gemini, or a model that does not exist yet. The architecture lets you swap the model layer week-to-week as the frontier shifts.

Theme 3

We empower, never replace.

  • 3.1

    Default headless.

    We empower the super-apps your team already uses (Claude Code, Claude Cowork, Codex chat) instead of building competing UX we own. We ship results, not screens. If a one-liner does the job, we do not build a dashboard for it.

  • 3.2

    Problem-first design.

    We listen to your team. We understand their actual problems. We design AI-architect-shaped solutions to those specific problems. We show our design and adjust before we build. We do not arrive with pre-built solutions looking for a fit.

  • 3.3

    Your team is the hero.

    We give your team 1-on-1 training on their repo. We help them own the final project. We help them present the win to the rest of the org as theirs. They are the hero of the AI rollout story. We are the architects who set them up to be that hero.

"These principles ensure we are aligned with our client's interest and that we are building our client a stable foundation for the next 10 years of AI. Rather than having conflicts of interest with our clients. And these principles are why our projects succeed."

The cognitive shift

AI super powers means one inversion most people have not made yet.

Most knowledge workers still treat AI as the consultant in chat while they remain the doer. Power users invert. Our engagements help your team make this shift at the org level.

Before the inversion

AI is the consultant. You ask Claude or ChatGPT for advice in chat. You are the doer. You execute the work yourself based on the advice. AI suggests. You do.

After the inversion

You are the consultant. You set strategy. You decide what gets done. AI is the doer and the super-consultant. It executes the work. AI does. You command.

The 10-year thesis

The next 10 years of business intelligence sits under Infinite Bookkeeping.

A quantitative ledger keyed to the business (the Infinite Entry framework), a qualitative ledger keyed to the same business (Infinite Brain, formal spec deferred), both AI-queryable, both portable. The open-source reference implementation lives in the Infinite Brain OS repository. The commercial productized data layer is StarMynd ABI. The done with you engagement is AI Architect.

StarMynd is the company that authors the standard, ships the reference implementation, runs the productized data layer, and offers the human delivery service on top. Four entry points. One coherent thesis.

Four ways in

Pick your depth.

From the free open-source repo to the team of two building AI workflows on your stack. Same architecture pattern under all four.

Tier 1 . Free

Infinite Brain OS

$0 Open-source. MIT-licensed.

The architecture pattern the 5% use, fully implemented, fully open.

Read the page
Tier 2 . Do it yourself

Skool

$49/mo 30-day money-back. Less than Disney+.

Become a power user of the new super-tools. Multiply yourself.

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Tier 3 . Done for you (data)

StarMynd ABI

$895/mo Private beta. Founding pricing.

AI-ready business data in your isolated GCP project. Every prompt-writer becomes an AI analyst.

Read the page
Tier 4 . Done with you

AI Architect

$5k + $5k/dept/mo $5,000 setup + $5,000/mo per department. 3 slots max.

The team of two that ships your team's first AI project in 2 weeks.

Read the page
Where Andrew shows up

Three channels. One operator's voice.

You can read the principles. You can also watch them get implemented in real engagements, in real time, on the channels Andrew already runs.

YT

YouTube

Long-form how-to content from inside paying client engagements. Architecture walkthroughs, agent patterns, what shipped this week, what broke. Two videos a week.

Subscribe
LI

LinkedIn

Operator-shaped posts on DTC marketing, CFO-side analytics, and the principled AI architecture pattern. Three to five posts a week. Andrew responds in DMs.

Follow
SK

Skool

The Skool community is where Andrew and Mats Stafsberg teach the course directly, run weekly office hours, and review members' real AI work. $49/month, 30-day money-back.

Join Skool
Operator's transparency

What we deliberately do not do.

You will not find these things on this site. The absence is the principle. We mention each one because not naming it would be its own kind of dishonesty.

No logo customers shown.

At launch we have receipts but not a logo wall. A real engagement shipped at a real DTC subscription brand. We will not anonymize them into "DTC Client A" or buy stock-logo permission to look bigger than we are. When clients give us permission to name them, we will.

No paid Stripe diagnostic upfront.

The diagnostic call is free. Ninety minutes on Calendly. We dropped the paid diagnostic because in B2B contexts the cost introduces procurement friction that converts poorly. The free call is the entry. The $5,000 setup is the first paid commitment.

No proprietary lock-in.

There is no StarMynd SaaS account you must keep paying for to keep using what we built. Your code is in your GitHub. Your data is in your isolated GCP project. Your tools are open-source. When you want to take it fully in-house, the migration is mechanical, not architectural.

No testimonials at launch.

No carefully-cropped quotes. No five-star widgets. No "trusted by hundreds." At launch we earn trust through the principles in code, the open framework, the named engagement architecture, and the operator voice on YouTube and LinkedIn. The receipts will come from the work, not from the marketing.

No pre-built solutions in the pitch.

We will not promise you a specific artifact in advance. No "daily AI briefing." No "anomaly alert dashboard." We promise the frame. First successful AI project shipped in 2 weeks, scoped against your team's actual problem on the diagnostic call. The artifact is decided after we listen.

No capacity above three engagements.

Three simultaneous Architect engagements is the cap. When the three slots are full, the next prospect waits. We will not staff our way around the cap to "scale" because the cap is what keeps quality real. The cap is the principle, not the obstacle.

See What Starmynd Sees in your business data.

A free 90-minute Calendly call with Andrew. We listen, we name the actual problem your team is solving this quarter, and we propose the AI architecture shape that fits. You leave with a one-pager you can take to your CTO and your CEO.

Book a call with Andrew Or read the principles in code