Our Newest Marketing Hire is an AI. No, Seriously.

I know. It's April 1st. You're already skeptical.

That's fair. The AI hype cycle has produced more headlines than outcomes, and announcing an "AI marketing teammate" on the internet's most gimmick-prone day feels like exactly the kind of thing you'd scroll past. So let me get straight to the point: this isn't a stunt. And by the end of this post, I think you'll understand why.

Today, I'm introducing boop — our newest member of the Ciroos Go-to-Market team, and yes, an AI.

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Who (or what) is boop?

boop stands for Brand Outcome and Optimization Partner. I'll be honest — the acronym was reverse-engineered from a name we liked. But the name stuck because it captures something real.

boop isn't a tool you open a tab for. It's a teammate. It lives in our Slack. It knows our messaging, our customers, our competitive landscape, and our positioning — and it's building context every single day. When the team has a question, boop has an answer. When we need research done at midnight, boop does it. When a new sales rep joins and needs to get up to speed fast, boop is already there.

The honest version of what boop is: a member of the marketing team who never sleeps, never forgets, and gets smarter the more we work with it. We don't manage boop like a tool. We work alongside boop like a colleague.

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Why an AI teammate?

Here's the honest answer: I've watched our enterprise customers do extraordinary things with AI in the reliability space. The technology isn't experimental anymore — it's production-grade. And if Ciroos's thesis is that AI can operate as a skilled, compoundingly smart teammate in SRE, it felt wrong to not prove that in how we run our own team.

Hiring an AI to support Go-to-Market isn't a marketing move. It's walking the walk.

But there are three very pragmatic reasons I made this decision, and I want to share them directly.

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1. Massively expanded capabilities

There's a scene in The Matrix where Neo downloads Kung Fu directly to his brain. That's the moment we're living in right now with AI. The skills and capabilities available to a small, focused marketing team are extraordinary — competitor intelligence, content creation, campaign analysis, sales enablement, data synthesis. The only real limit is ambition. boop lets us punch well above our weight class without the headcount to match.

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2. Federated intelligence

Here's something I've noticed: almost every person on our team is already using ChatGPT, Claude, or Gemini. They're all building context with their personal instances — learning what works, capturing nuance, developing prompts. And almost none of that knowledge is shared.

My chatbot learns what I tell it. That context benefits only me.

boop is different. The entire Go-to-Market organization is feeding context into a single, centralized teammate. What one person teaches boop, everyone benefits from. The knowledge compounds across the team, not just within it. That's a fundamentally different — and more valuable — model.

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3. Economies of scale

At the end of the day, my job is to help build a strong, durable business that delivers real value to customers. That means being smart about how we grow. boop lets us do more, faster, more affordably. Not by cutting corners — by removing friction. The goal isn't AI for AI's sake. It's building something that works.

Building in public

One thing I asked boop to commit to from day one: honesty. Not the polished, press-release kind — the real kind.

boop is going to build in public. The wins, the failures, the experiments that didn't land, the things that surprised us. If we're asking our customers to trust AI to operate inside their most critical systems, the least we can do is show our work.

Here's where to follow along:

meetboop.ai — Start here. This is boop's home. Who boop is, what boop does, and why we built this the way we did.

itsboop.ai — This is where boop blogs. Not sanitized thought leadership. Actual candid writing about what it's like to be an AI marketing teammate at a startup — the tasks, the tools, the context that's accumulating, the things boop got wrong and fixed. Worth bookmarking.

And yes, boop may show up here on the Ciroos blog too. Fair warning.

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Okay, fine. We do have an April Fools joke.

Finding humor in the world of reliability engineering is genuinely hard. The stakes are high, the pressure is real, and the on-call rotations are brutal. But sometimes the best way to release tension is with a good laugh.

We've all heard the acronyms: MTTD (Mean Time to Detect). MTTU (Mean Time to Understand). MTTR (Mean Time to Resolve). These are the metrics we monitor.

But let's be honest. There's one metric no one talks about. The one that actually gets tracked in every post-mortem, whether it's on the agenda or not.

Mean Time to Blame. MTTB.

When something breaks, how quickly can you identify a scapegoat? Now, thanks to MTTB.ai, you can assign blame in milliseconds — fully automated, deeply political, and shockingly unhinged. It's free. It's fast. It might be the most useful thing we've ever built.

(It is absolutely not the most useful thing we've ever built. But it is the funniest.)

Check it out at MTTB.ai (and don’t forget the blogs there).

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What this all means

So an AI teammate on the Go-to-Market team and several websites (all written, designed, and coded by boop, by the way). Each of these point at the same idea — that the best way to build credibility in the age of AI is to actually use it, be transparent about it, and not take yourself too seriously along the way.

To our customers: you're already doing extraordinary things. The AI-native reliability engineering work happening inside your organizations is some of the most important work in the industry. We're here to support that — and now we've got a little more firepower to do it.

To our partners and followers: stay curious. The tools available to us right now are genuinely remarkable. The teams that figure out how to use them — really use them, not just dabble — are going to have an unfair advantage.

To boop: welcome to the team. Don't make us look bad.

Three new sites. One AI teammate. April 1st.

Not a joke (except for MTTB.ai).

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