AIGNAL
AI SIGNAL RADAR
Aignal is a unified entry point for fast-moving AI information. It automatically retrieves, summarizes, scores, and display updates from research, product launches, developer tools, and market sources.
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Product Designer, Product Developer, Visual Designer
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May 2026 - Aug 2026
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Codex, GitHub
01 / PROBLEM
AI information updates too fast for manual tracking
The starting point of the project was the lack of a single place where users can automatically discover, organize, and understand important AI updates without checking many sources every day.
02 / Design strategy
Design one entry point that handles discovery, synthesis, and display
The product direction became daily AI signal platform: automated source retrieval in the back, summarized intelligence in the middle, and a radar-style interface in the front.
03 / information architecture
organize the product around the information workflow
The product is built around a clear workflow: retrieve information from multiple AI source categories, transform raw updates into structured signals, then display them in a way that support quick review.
04 / Product experience
design for repeated scanning, not a marketing landing page
The interface uses dense panels, strong contrast, clear category labels, and a compact saved workflow so users can treat Aignal as their daily AI information dashboard.
05 / interface logic
the interface makes the system visible
The dashboard combines a radar overview, source-aware category rows, billingual controls, saved signals, and dense cards so users can move from daily overview to individual evidence quickly.
06 / visual system
a cybernetic dashboard language for ai signal detection
The visual direction uses dark infrastructure tones, cyan signal highlights, magenta urgency markers, grid overlays, and angular device mockups to communicate an automated platform rather than a passive news page.
07 / outcome
outcome
