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π Query2Map
Query2Map is an AI-powered learning platform that transforms natural language queries into structured learning paths. By combining LLMs, knowledge graphs, and real-time web search, it delivers personalized educational content and ranked answers for complex technical topics.
The network for creativity
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The overall feel of the site is really amazing π
Agent products resist normal product marketing. There's no single interface to screenshot and the category vocabulary has gone generic, so a feature list communicates almost nothing.
We built Heron's explanation as a four-beat scroll that runs the agent's actual loop. The model appears and is watched. Violations surface with plain language and a real IBC clause. An edit is applied after approval. The system learns the firm's standards.
Pacing was the main design problem. Each beat needed enough scroll distance to register as a separate action, without the section becoming so long that people bail before the payoff. The sequence carries the technical detail that would otherwise sit in a spec table.
The four-beat scroll is a smart way to make the agentβs loop feel tangibleβmuch clearer than a static feature list. The restrained visual system gives the interaction room to breathe.
What does luxury look like?
A cinematic AI product of a modern apartment designed to make you stop, look, and imagine yourself there. β¨
Would you live here?
