Google-Backed Startup Meet-Ting Puts AI in Charge of Your Calendar

In a bold move that could redefine how we manage our time, London-based startup Meet-Ting—affectionately known as “Ting”—is testing the limits of AI delegation by giving its autonomous scheduling agent full control over users’ calendars. Backed by Google, the company is betting that people are ready to trust artificial intelligence not just to suggest meeting times, but to make judgment calls on their behalf.

From Static Scheduling to Dynamic Delegation

Traditional calendar management has long relied on rigid rules, booking links, and endless back-and-forth emails. Meet-Ting is flipping that model on its head. Instead of asking users to define every preference upfront, Ting learns by observing—tracking how you respond to meeting requests, which conflicts you prioritize, and how you balance urgency with relationships.

The agent operates directly within your existing communication channels—email, SMS, and messaging apps like WhatsApp—meaning there’s no need to log into a separate dashboard or share booking links. Just CC or message Ting, and it takes over from there, coordinating across time zones, suggesting alternatives, and even following up on no-shows.

Teaching AI Judgment, Not Just Commands

What sets Ting apart is its focus on behavioral learning. Over time, the AI builds a nuanced understanding of your priorities: which meetings you’ll accept without hesitation, which ones you’ll reschedule, and how you handle conflicts. It’s less about rigid automation and more about teaching the AI your judgment.

During a six-month beta test, some users booked up to 20 meetings per month through the agent—including high-stakes scenarios like investor pitches and job interviews. This willingness to delegate sensitive scheduling decisions suggests a growing trust in AI’s ability to act in users’ best interests.

Weekly Check-Ins and Context-Aware Coordination

Ting isn’t a set-it-and-forget-it tool. Every week, it proactively checks in to compare your actual calendar activity with your stated goals, ensuring it’s aligned with your evolving priorities. This ongoing calibration helps the agent stay relevant and responsive.

The company also envisions a future where AI agents talk to each other as much as humans do. Ting is built to operate seamlessly across email, messaging apps, and emerging LLM-driven chat environments. By staying inside these conversational channels, it captures context that static calendars miss—tone, hierarchy, and the subtle cues that shape real-world scheduling decisions.

Privacy and Personalization at the Core

All data collected by Ting is private and user-specific. The system uses it solely to train personalized models, ensuring that your scheduling preferences remain yours alone. This focus on privacy is crucial as AI agents become more embedded in our daily workflows.

Early Growth and a Bold Vision

Since launching, Meet-Ting has attracted several thousand users, with about half actively engaging with the agent on a regular basis. The startup’s co-founder, Dan Bulteel, sees this as just the beginning.

“The question isn’t whether AI can book meetings—it’s whether people will let it,” Bulteel said. “What we’ve learned is that delegation happens when the technology understands what you value. We’re building toward a world where everyone has an availability agent, whether that’s coordinating with people, other agents, or enterprise systems.”

The Bigger Picture

Meet-Ting’s approach signals a shift in how we think about productivity tools. Instead of software that simply executes commands, we’re moving toward autonomous agents that act as true collaborators—learning, adapting, and making decisions in line with our values.

As AI continues to weave itself into the fabric of work and life, the question is no longer if we’ll delegate more to machines, but how much we’re willing to trust them. Meet-Ting is betting that, for many, the answer is: quite a lot.

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