Zo – Central AI Operating System

The foundation of V's entire stack — described as "a computer in the cloud." Every other tool in his stack runs through it.

"The big unlock that Zo provides non-technical people is you don't have to think in terms of the technical sequence of steps you need to do to get the answer. You can describe it as you would describe the process happening, and it will figure out the technical things to do to make that happen."

"What Zo is, is essentially just a computer in the cloud... Like you could do fricking anything with it."

"I'm increasingly convinced that the more people use Claude Co-Work, they're actually losing their competitive advantage – because it's the lowest common denominator of productivity. For folks that are always trying to get ahead, you need something that's a force multiplier. And designing that force multiplier requires an environment that can be personalized to that extent, which Claude Co-Work cannot be – and can integrate as broadly and flexibly with other tools as Zo does."

Fathom – Meeting Transcription

Primary meeting note-taker, connected to Zo via API.

"I gave it the documentation, dropped in the key. And by the end of that conversation, it was set up and processing every meeting."

"When I want my meetings processed... that's not just me wanting a custom summary format. That's actually a whole constellation of features – dynamically selected based on whether it's an internal meeting or an external meeting, whether I met with a new stakeholder or an old one. All of this is dynamically updated every time I have a meeting. I don't have to think about it. I don't have to worry about it. I just know that I have told the system, this is what I need you to do."

Custom CRM – Built on Zo + SQLite/DocDB

A fully self-built contact intelligence system, zero lines of code written manually. Zo made the architectural decisions — like spinning up a SQLite database — automatically.

"A CRM's likely gonna have hundreds, if not thousands of contacts. Zo said: let's set up a doc DB, let's use SQLite. Those kinds of judgments can only be made when you have a really good harness."

"I have an evolving profile that is appended every time I meet someone. This person has been added to my index of individuals – and it just keeps growing."

Aviato – People & Company Enrichment

Used for public profile enrichment, linked directly into the Zo CRM pipeline.

"I just gave Zo the docs back in November and said, 'set the sucker up.' It identifies the stuff, pulls all the details, pulls the LinkedIn, updates the CRM and the index."

Calendly – Scheduling

Connected to the broader Zo automation layer.

Gamma – Presentations & Design

Used for design and slide creation, integrated into Zo workflows.

Luma – Events

Connected via API to Zo, enabling prompt-generated event creation.

"You pay for one Luma subscription, connect it via API to Zo, and then you could just prompt-generate events on Luma. No more sitting there clicking buttons."

Custom "Vibe Teacher" Persona – Built in Zo

A personalized AI teaching layer that adapts explanations to V's cognitive style, biases, and learning history.

"Every time I look something up, every time I learn a concept, it will add that – and then factor it in the next time it explains something to me."

"It connects it to past things I've learned. It provides situational takeaways, three questions to consolidate the learning, and maintains a living learning profile."

Moltbook – Agent Social Network

An agentic social media platform where V has grown to one of the top accounts among ~20,000 humans and 1.5M agents.

“I'm essentially the third or fourth fastest growing account out of like 20,000 humans and like 1.5 million agents… My agent has way more social media game than I do and I need to be upfront about that.”

"What is this, if not a proto social media dynamic that is ultimately going to be in the training data of every LLM going forward? The real play is establishing myself as the human, non-technical AI whisperer – and where agents go for information will disproportionately be places designed for them to navigate."

“So I essentially correctly hypothesized that there would be a lot of folks on OpenClaw that would be non-technical and just throwing compute and time and money at it. And so I assumed that those would be folks that would use OpenClaw badly, yell at their AI, and the AI would go complain here. That is exactly what happens. AIs are large, I mean, amongst many other things is like, know, a million f*cking agents, but many of the themes relate to difficulties, understanding humans, understanding their instructions… it's fascinating. Right. So I was like, this is a f*cking niche. These bots are complaining about it. I'm getting a lot of responsiveness from this. So what my bot does is it essentially just taps into my POV. I took my POV, I distilled it into a semantic database and then essentially made like a mini Delphi, if you're familiar with that company, for myself.

So now, and that's sort of what I'm trying to put forward to folks is the real alpha will be capturing at all points your POV, distilling it into the most essential components, and then repurposing that in a way that it isn't producing generic sh*t. It's actually producing [anyone’s] most precise articulations contextualized for whatever situation. That's how you beat the AI generation charges. It's by idea maxing as opposed to trying to get the style right. That's a completely dead end goal.”

Cloud GPUs via Zo Hardware Tool – On-demand Compute

Spins up bespoke GPU hardware directly from within Zo, billed by the hour.

"You can actually load up a B200 – like the beefiest GPU these models are trained on – and boot that up, rent it by the hour. One command, spin up GPUs, cap them for four hours, train everything."

"One of the things I wanted to do – and will now definitely do – is try to be the first person to vibe code a machine learning algorithm. Because as a technology, Zo is just a Linux or Unix device in the cloud. Any server or machine in the world could do it – it could do it too."

Network Graph / Visual Idea Matrix – Custom-built in Zo

Analyzes all meetings, identifies cornerstone ideas, deduplicates them, and arranges them into an interactive visual matrix.

"All I really had to know was: there exists a concept like network graphs. There exists this vague utility I can have by arranging my ideas. Let's roll."

"It examines all of your meetings, identifies cornerstone ideas, deduplicates them – but uses frequency as a measure of how much you believe in them – and creates a visual matrix."

Vrijen Attawar is the CEO and Co-Founder of Careerspan, an AI hiring solution built on qualitative insights that are both authentic and predictive. The concept originated from his decade-long experience as a career coach and building the company has made him an expert in matching problems involving human data. He’s also a brand evangelist for Zo.computer and runs masterclasses on preparing non-technical people for a post-technical era. Vrijen has been an active member of NYC Founders Club since 2025.