chishan-ai.hashnode.devBuilding a Video Content Analysis Pipeline: Technical ArchitectureThe Technical Challenge of Video Analysis Analyzing video content at scale requires a pipeline that handles multiple data streams: visual frames, audio transcription, text overlays, and engagement metrics. Pipeline Architecture A video analysis pipel...1h ago·1 min read
chishan-ai.hashnode.devBuilding Location-Aware Search for Professional ServicesWhy Location Matters in Professional Search When someone searches for a professional service provider—especially in regulated fields like law—location is not just a convenience filter. It fundamentally changes the results. For immigration law specifi...19h ago·2 min read
chishan-ai.hashnode.devTemporal vs Spatial: How AI Video Generators Interpret Prompts DifferentlyWhen working with AI video generators, one common misconception is that prompt quality is universal across platforms. In practice, the way each model interprets language maps to fundamentally different internal representations. How Sora Processes Pro...21h ago·3 min read
chishan-ai.hashnode.devA Practical Guide to Choosing AI Video Generators Based on Prompt StyleNot all AI video generators are created equal, and the prompts that work well for one platform may fall flat on another. If you have been experimenting with tools like Sora, Veo, Midjourney, or Kling, you have probably noticed that each has its own p...1d ago·4 min read
chishan-ai.hashnode.devThe Technical Architecture Behind Video Frame Analysis for AI Prompt GenerationThe Technical Architecture Behind Video Frame Analysis for AI Prompt Generation Introduction Video frame analysis for AI prompt generation sits at the intersection of computer vision, natural language processing, and software engineering. While the c...Feb 13·6 min read