Prototype to Product: Eleni Lialiamou at Amplitude London

The Amplitude European meetup series closed its London chapter at The Lighterman, King's Cross, with a breakfast session built around one question: what does it actually look like to build, ship and measure with AI today?

Eleni Lialiamou, AI Product Strategist and Lovable Ambassador, was among the speakers. She closed the session with a practitioner's perspective on data, signals, and what the numbers are actually telling you.

Who Was in the Conversation

The session brought together speakers with a genuine range. Spenser Skates, CEO and Co-Founder of Amplitude, opened with his thinking on where AI and first-party data are heading and what it means to build products that learn from real user behaviour. Darshil Gandhi, Director of Product Marketing at Amplitude, walked through a live demo of a Lovable-built site with real AI features, showing how to measure whether any of it is actually working. Joseph Wilson hosted the morning and led the speaker Q&A.

Eleni closed with what she has consistently argued in practitioner settings: the signal worth chasing is the unexpected one. The data point nobody planned for. The behaviour that does not fit the assumption.

What the Session Covered

Three ideas ran through the morning consistently enough that they showed up in what attendees took away afterwards.

Building has accelerated. Software can be built roughly ten times faster than before AI. But knowing what to build and whether it worked has not kept pace. The tools moved. The judgment required to use them well did not automate itself.

Intentionality matters more, not less. Faster building cycles make it easier to ship something that looks like a product without becoming one. Defining and measuring a north star from the beginning is what separates the two.

Surprise is the signal. Eleni's closing argument, the one that stayed with people after the session, was about what data is actually for. Not confirmation. Not validation of what you already expected. The unexpected signal is usually the one worth understanding. Measure from day one, then use the time AI frees up to understand why people actually do what they do.

What Attendees Said

The response afterwards was specific. One attendee described Eleni's presentation as "particularly inspirational." Another wrote that two things stayed with them: measure from day one, and use the time AI frees up to understand why people actually do what they do.

A third captured the broader shift the session pointed toward: the building got easy. Deciding what is worth building, and what to leave alone, is still the job. If anything it matters more now, not less.

Why It Matters

The session was not about tools in isolation. It was about the thinking required to use them well. That is the conversation Eleni and Kimolian.AI consistently show up to, whether the audience is coaches, founders, or senior product and growth professionals in London.

Showing up alongside the Amplitude CEO, in front of a senior product and growth audience, is consistent with where the work has always been. Not hype. Evidence. Not assumption. Impact.

The unexpected signal is not a concept. It is a practice. And it is one worth bringing into every conversation where people are building.