Specs get drafted in Claude, components built in design tools like Lovable, decisions made between keystrokes. The one thing that hasn't kept up is the evidence behind those decisions. It still lives in a deck or a repo somewhere, and it arrives after the call has already been made.

The Askable MCP closes that gap. It connects your real user research, from AI-moderated studies to weekly industry streams, into the tools your team already works in, like Claude, Copilot, Cursor, and Lovable. You ask a question in plain language and get back answers from real participants, with their quotes and a link straight to the source, in seconds. Every answer is something you can verify, not a confident-sounding summary you have to take on faith.

In this 60-minute session, we'll show the MCP at work across a few real use cases: validating a product idea against existing research before you commit, writing a spec around what users actually said, and checking a design decision on the spot. The featured one is a live build with Lovable.

​In this session, the Lovable Ambassador, Anna-Mi, takes a working prototype and improves it in real time. Then you'll see how Askable's Head of Product, Richard Dobson, pulls user evidence straight into the build, so every decision is backed by what real people actually said.

It's a working session, not a slide deck. You'll leave knowing what it looks like to build and decide on evidence instead of guesswork.