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Day with AIMarch 31, 2026· 6 min read

Day with AI: 24 Commits, New Profiles, AI Filters, and the Whole Platform Looks Like a Million-Dollar Product.

Monday marathon — client platform got new profiles, AI data processing, match quality filters, search redesign and improved UX. 24 commits, 8 sessions.

Day with AI: 24 Commits, New Profiles, AI Filters, and the Whole Platform Looks Like a Million-Dollar Product.

What I worked on

Monday. Client project — AI matchmaking platform. Yesterday was the visual redesign, today I went after UX and functionality. Goal: make it not just look good, but work like a product people can actually navigate.

What I did

Profiles — new layout and extensions

Completely rebuilt user profile:

  • New clean layout with card-based sections
  • Extended profile information — new data inputs
  • AI processing of user data — automatic extraction of relevant information
  • Visual improvements and new controls
Search — complete redesign

Entire page rebuilt from scratch:

  • New layout with filtering and sidebar navigation
  • AI-powered match quality filter — users set their threshold and only see what makes sense
  • Quality indicators directly on results
UX improvements
  • Reworked actions and statuses across the platform
  • Result display limits — cleaner and more organized
  • Better messaging and section naming
Demo and documents
  • Automatic document generation directly in platform
  • Test mode for client presentations
  • Pagination and visual polish

Time: AI vs without AI

TaskWithout AIWith AI
New profile layout + data extensions3-4 days~3h
AI processing of user inputs2 days~30min
Search redesign + filters2-3 days~2h
AI quality filter + visual indicators1-2 days~1.5h
UX actions + statuses1 day~1h
Documents, demo mode, polish2 days~2h
Fix/refactor/cleanup1-2 days~1h
Total~40 hours~11h

What I learned

  • AI extraction of structured data from free text is surprisingly accurate — no need to build complex systems manually
  • Filters for AI match quality are a killer UX pattern — users control what they want to see
  • Familiar layouts from major platforms work better than custom inventions — zero learning curve
#den-s-ai#redesign#ux#ai#platforma

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