Stop Building Siri. Build Jarvis.

Most founders are building Siri.. a chatbot that waits to be asked. I am building Jarvis.. a system that runs the operation. The gap between the two is one layer nobody talks about.

Everybody has Claude. Everybody has ChatGPT. Everybody is running the same models, the same prompts, the same general-purpose assistants. And yet a few founders are shipping ten times more signal than the rest, while everyone else is still asking their chatbot to write an email.

That is not because their AI is better. The models are the same models. The difference is the layer underneath the model. Almost nobody is building it. This post is about what that layer is, why it is the only real moat available to a B2B founder in 2026, and why the stack I run would fall apart without it.

There are five AI advisors on my board. Richard runs strategy. Anthony runs sales. Jay runs alliances. Boris runs the tech. Greg runs distribution. Each one reads the full state of the business every morning, argues its piece into a board meeting file, delegates to specialist agents below it, and moves on.

Below the five advisors there are twenty-plus execution agents. Anthony S1 prospects and drafts cold emails. Anthony S2 moves deals through stages. Anthony S8 runs the Dream 100. Boris S1 scans frontier sources. Boris S3 builds new agents. Boris S5 handles cybersecurity scans. Richard's S5 generates a weekly buyer's-journey scorecard. Greg ships programmatic SEO pages. Jay runs competitive intelligence across twelve named competitors.

Most of them run on schedules. Some fire on triggers — a new Kajabi signup, a Granola transcript drop, a Gmail reply. They draft, they log, they notify. A few hand off to me. Most run to completion without ever hitting my inbox.

That is the stack. Forty-plus skills, five advisors, twenty-plus agents, six daily scheduled cascades. Sounds impressive. It is not the part that matters.

Here is what most founders get wrong about running AI in a business: the AI is the easy part. You can download Claude Code today. You can clone my advisor prompts. You can wire up agents by tonight.

What you cannot download is the context layer underneath. That is what the AI reads from. That is what makes the difference between a generic email and an email that sounds exactly like me talking to exactly this prospect about exactly the deal we paused in February.

Two tools are doing 90% of the lift there. Both are boring. Nobody mentions either of them when they demo their AI stack on LinkedIn.

Obsidian is a local markdown notes vault. Mine has thousands of files. Every podcast episode recorded. Every book highlight. Every daily journal entry since 2024. Every client note. Every strategic decision with its reasoning written down. Every competitive teardown. Every pricing experiment. Every guest brief and every follow-up debrief.

Granola is a meeting transcription tool. It captures every Zoom call I take, auto-transcribes it, and deposits the transcript into my vault inside a minute. Every sales call. Every partner conversation. Every client check-in. Every coaching session.

Together those two tools produce a living record of everything said, thought, decided, or learned inside the business. When Anthony S2 drafts a follow-up email to a prospect, it reads the Granola transcript of the last call, pulls from the CRM, scans the vault for every prior note on that company, and writes in my voice to that specific human about the thing we actually discussed. Not a template. Not a generic pattern. A message that only I could have sent.

When Richard does the weekly review, he reads six months of journal entries, sees where I said one thing three weeks ago and contradicted it yesterday, and flags the drift. When Jay runs intel, he pulls notes I took on a competitor during a trade show in 2024 and merges them with that competitor's press release from this morning. The AI is the same AI everyone has. The context is the part nobody has.

The vault gets richer every day. Every call adds a transcript. Every decision adds a note. Every experiment adds a result. Six months from now the vault is 40% bigger. Six months from now my agents are 40% smarter about my business specifically. Nobody else's agents got 40% smarter about my business. Only mine did.

That is the part that is actually proprietary. The prompts are not proprietary. The models are not proprietary. The architecture is not proprietary. The context layer is proprietary and it compounds. That is a real moat. It is the only one available to a B2B founder in 2026.

It is also the part that generic AI advice keeps skipping. The Twitter threads teach you ten prompts. The YouTube tutorials show you five agents. None of them teach you to build the thing the agents are supposed to read.

Most founders plug ChatGPT into a browser tab and ask it questions. Every conversation resets. Every project starts from zero. Every prompt has to re-explain the business, the ICP, the offer, the last conversation, the current state. The AI forgets. The founder burns out on re-explaining.

Or they install Claude Code and point it at a repo with no prior writing, no prior transcripts, no prior strategy. It is like hiring a brilliant consultant with amnesia. Every Monday, amnesia again.

Or they build agents on top of agents, adding wrappers and filters and fallbacks to compensate for the fact that the agents cannot read anything real about the business. That is architecture for architecture's sake. None of it fixes the missing layer.

The AI is not the moat. AI without context is a rental. AI with context is a compounding asset. One of those shows up on your balance sheet in three years. The other one doesn't.

April 20, free, two hours online. In this workshop, I will help you build your Jarvis.

Not how to prompt Claude. Not which agents to hire. The layer underneath — how to set up Obsidian so your vault becomes a living memory, how to install Granola so every conversation feeds it, and how to wire your agents to read from that context so they actually know your business.

Stop renting Siri. Start owning Jarvis.

Grab a seat → https://lu.ma/mhyvifc3

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