Meet-Ting Is the AI Agent People Are Trusting With Their Time

SiliconSnark is officially expanding its emotional range. Yes, we will be covering more early-stage startups. Yes, we will be doing it with loving snark. No, we are not here to dunk on founders who are clearly trying to build useful things in an increasingly cursed tech ecosystem. That energy is reserved for truly evil big tech. You know, companies that accidentally teach children gambling mechanics or turn digital playgrounds into behavioral science experiments. We’ll name names later. (Hi, Roblox.)

Today’s subject is a UK startup with a deeply unserious name and a surprisingly serious idea: give your calendar a brain, then politely step away before it achieves consciousness.

The company is Meet-Ting (or just “Ting,” which sounds less like a productivity tool and more like a noise your phone makes when you’re about to miss a meeting). And according to their newly announced launch, Ting isn’t just another scheduling assistant. It’s something they’re calling an “availability agent,” which is startup-speak for “this thing is going to make decisions without asking you every five minutes.”

That distinction matters, and also explains why this announcement is way more interesting than yet another AI that can propose three time slots and still somehow get them wrong.

The quiet moment when humans handed over the calendar

Most AI productivity tools still treat users like anxious middle managers. They wait. They ask. They confirm. They double-check. Ting, by contrast, is built around a more radical premise: people don’t actually want to manage an AI. They want it to just handle things.

During a six-month beta, power users reportedly delegated up to 20 meetings per month to Ting. Not fake meetings. Real ones. Investor intros. Job interviews. Conversations where being late, double-booked, or vaguely unprepared can have actual consequences beyond mild embarrassment.

And the wild part? People were… fine with it.

This is the first real signal that something has shifted. Not that AI can book meetings — we’ve had that for years — but that people are willing to let an autonomous agent decide which meetings matter, which ones can wait, and which ones quietly die in the inbox like they were always meant to.

That’s not a tooling change. That’s a trust event.

Why Ting isn’t just “Calendly but spooky”

Most scheduling tools live in dashboards, booking links, or calendar overlays. They exist outside the conversation, forcing humans to context-switch and translate messy human intent into neat machine-readable rules.

Ting does the opposite. It lives where scheduling already happens: email and WhatsApp. You CC it. You text it. You let it observe the chaos in its natural habitat.

This matters because calendars are terrible at capturing how people actually make decisions about time. A static calendar can tell you when something is booked. It cannot tell you why it was accepted, postponed, ignored, or politely declined with a “looping back next week” that everyone understands is a lie.

Ting builds what it calls a “decision dataset,” which is a privacy-first, proprietary model trained on the invisible judgment calls people make every day. Tone. Urgency. Hierarchy. Relationship dynamics. Who you respond to immediately versus who you stall for three business days while feeling guilty.

In other words, all the stuff you never want to encode manually because it would require confronting your own priorities.

Agents learning values instead of rules

One of the smarter design choices here is that Ting doesn’t ask users to define rigid rules upfront. No flowcharts. No “always accept meetings from X” logic that collapses the first time real life intervenes.

Instead, the agent learns by watching. It sees which meetings get booked quickly. Which ones get rescheduled. Which ones quietly fade away. Over time, it builds a model of what you actually value, not what you claim to value in onboarding questionnaires.

That’s the difference between automation and delegation. Automation follows instructions. Delegation requires judgment.

And yes, this is exactly the point where some readers will feel a chill run down their spine and mutter something about losing control. That’s fair. But it’s also unavoidable. You already delegate judgment to spam filters, recommendation engines, and inbox sorting systems. Your calendar was just late to the party.

Built for an agent-to-agent future (whether we like it or not)

Meet-Ting is making a fairly explicit bet that more work will happen inside large language models, not outside them. The company is an early app developer working with OpenAI and positioning Ting to operate natively inside ChatGPT as workflows continue to migrate there.

The logic is straightforward: if conversations move into AI environments, scheduling needs to exist there too. Nobody wants to leave a conversation, open a dashboard, copy-paste context, and then come back pretending that’s normal behavior in 2026.

Availability agents, in this view, become infrastructure. They coordinate not just with people, but with other agents and enterprise systems. Your agent talks to their agent. Your calendar negotiates with their calendar. Everyone saves time and loses a small piece of their soul.

Progress.

Momentum, logos, and the ritual of social proof

Meet-Ting claims around 50% month-on-month growth for six consecutive months, with several thousand users and roughly half actively interacting with the AI. The user list includes executives from Nike, Disney, and Synthesia, which is exactly the kind of lineup that makes VCs nod thoughtfully while pretending they don’t care about logos.

The broader category is heating up too. Everyone from Google to Perplexity to various YC- and Sequoia-backed startups is suddenly very interested in your calendar. Manual coordination is starting to feel archaic, like faxing but with more Slack messages.

Meet-Ting’s co-founder Dan frames the real question nicely: it’s not whether AI can book meetings. It’s whether people will let it.

Early signs suggest the answer is yes, provided the agent understands what you value and doesn’t embarrass you in front of someone important.

Founders with unusually relevant backgrounds

The company was founded by Dan Bulteel and Mariana Prazeres, a pairing that actually makes sense once you squint at it. Dan previously led global social media for ByteDance and TikTok, which means he understands how products earn trust at scale. Mariana has been building and researching AI systems since 2017, which means she understands how not to set everything on fire.

That combination — trust and technical depth — is arguably the minimum requirement for building autonomous agents people will actually use. You don’t just need the model to work. You need users to believe it won’t ruin their lives.

Expansion, backing, and the usual startup ending

After launches in the UK, US, and Brazil, Ting is rolling out across France, Germany, Italy, and Spain. The company is backed by Google’s AI startup program and counts Google and OpenAI among its ecosystem partners.

There’s a free tier with up to 10 meeting bookings, which is either a generous trial or a clever way to get you hooked before your calendar achieves sentience.

The bigger picture, minus the panic

Zoom out, and Meet-Ting feels less like a gimmick and more like a quiet milestone. This is one of the first products where users aren’t just assisted by AI, but actively stepping back and letting it act on their behalf in situations that matter.

That’s a big deal. Also a little scary. Also probably inevitable.

SiliconSnark will keep covering these early-stage bets with curiosity and affection. Building is hard. Trust is harder. And if we’re going to hand over our calendars to autonomous agents, we should at least laugh about it while it happens.

And don’t worry. When the same idea ships from a trillion-dollar company with dark patterns and mandatory integrations, we’ll be right there sharpening the knives.