About

Vision

"The last marketing company."

We have two specific goals:

1. Democratize marketing (for humans)
2. Be the go-to solution for AI companies' marketing needs

Vibe Marketing

If you're familiar with the term vibe coding — where you "fully give in to the vibes" and let AI generate your app — you already get what vibe marketing is.

With vibe marketing, you just say what you want, and marketing campaigns, automations, copywriting, branding, landing pages, and more can be built and coordinated. You don't need to know how something is done — just check that it works. However, as we've seen with the pitfalls of vibe coding, this is an ideal, not a 100% substitute yet.

It's crucial to let operators (vibe coders or vibe marketers) take the wheel when needed. Imagine the alternative: something kind of works. That's not acceptable. So, in our ideal but currently realistic world, we want to automate the boring boilerplate and focus on the fun, creative marketing work that drives revenue.

How it works

Out Nurture isn't just a chat app with integrations — just like Cursor isn't just a wrapper for LLM APIs.

We are:

• providing a unified semantic layer for service provider APIs and MCPs
• optimizing specialized AI marketing agents (context management, prompt engineering, fine-tuning)
• and managing cross-platform lead journeys

The key problem we face is reliably coordinating context-aware "agentic workflows" across dozens of services.

Built for the AI Economy

We're building for a world where AI runs companies. We'll be their marketing department, marketing agency, or just a part of their marketing stack.

It's still early, so there's a lot of guesswork, but one thing is certain: the trend of AI doing more work and humans doing less is continuing. If you accept that, you might expect AIs to employ other AIs to solve problems reliably. This seems more likely than AI recreating every problem from scratch for each use case. Modularity scales.

What's our bet?

Since we don't know exactly what the AI Economy will look like, how can we build for it? Well, something that seems here to stay is the idea of context. Context just means what an individual AI "knows" or has access to.

For example, when a cold emailing agent drafts a personalized email to a local dentist, providing the dentist's website can improve its copywriting. The website content could include their values, location, and specialties — all of which are part of its context. There are various ways to supply context to the model, but it must be done to personalize things.

We can be sure that context management across different tasks, people, workflows, platforms, timelines, AI agents, and more will be a critical part of running a company in the AI Economy. You might argue "AI will be so smart it can overcome these details," but that's not how we see it.

Our bet, therefore, is to build context all the way down to fit into the AI Economy. Think of it as an accessibility standard for AI. As a design principle, it's about asking ourselves, "How will AI access this?" or "What guardrails should we add so AI doesn't make a mistake?"

What does alignment mean?

"Don't be annoying & promote wellbeing."

Don't be annoying

No one likes annoying marketers or salespeople. In fact, these terms alone often carry negative, even "sleazy," connotations.

Why? There are many reasons, but here are a few:

• Relentless spam emails, letters, texts, robocalls, etc.
• Advertising everywhere you look
• Data theft and privacy violations
• Not taking "no" for an answer
• Scammers also use marketing and sales tactics

There are a lot of problems! The real biggest one is leverage. It's what makes marketing scalable beyond word of mouth or door-to-door. To bring your marketing to the masses, you need to multiply your message hundreds to billions of times! That's possible because of the printing press... or computers. There are practical and legal limitations, but it's never been easier to get in front of millions of people.

Marketing is fundamentally asymmetrical. It communicates one-to-many, often without consent. The reason this causes issues is that even mistakes can be amplified. And bad actors can assault our time, attention, and user experiences at massive scale.

With AI, the same problems will exist but with even more leverage. And as fellow recipients of marketing campaigns, we take this problem seriously.

How do we address this? First, it's important to reduce mistakes or unintended actions. This means providing guardrails and ongoing monitoring to make sure things are working as intended. Ideally, our system prevents poor practices altogether by being designed so it's really hard to do things wrong and really easy to do things right.

Most importantly, while humans will likely always find ways to game a system and do things improperly, AI is a different matter. We shouldn't provide — or worse, enable — the leverage for AI to do malpractice. Since our tools and context will be used to make decisions in the real world, we have a responsibility to do it right.

Promote Wellbeing

What does our ideal world look like as a result of our platform? It promotes wellbeing. If you've ever bought something you love, found the perfect gift for someone, been helped by a professional, or even changed your life from an online course, did you ever think about how you got there?

Often, your purchases were the result of over 10 different interactions with a concept, without you ever consciously realizing it. Or another case: you've never thought about something in your life until you faced it — then you rush to click the first link you can find to fix your problem.

So when we say promoting wellbeing (through marketing), we mean putting the right products and services in front of the right customers at the right time in the right way.

With sales, it's easier. We want to promote wellbeing (through sales) by addressing buyers' unique issues to help them buy something they would benefit from.

Let's be specific. Would you mind if a plumber called you the second your pipe bursts? Would you mind if someone emailed you an offer for a higher-paying job right as you're frustrated with your current situation? In both these cases, you didn't think how much you could benefit before being contacted. This is a result of good marketing.