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Year
2025
Tech & Technique
AI Agents, Generative Video, Full-Stack Web, LLM Orchestration
Description
Story Catcher's premise: take a user's account of a memory or incident and have an AI agent generate an actual video from it, text in, finished narrative video out.
The Problem:
Text-to-video is easy to demo and hard to productize, the challenge isn't calling a generation API once, it's orchestrating an agent that interprets a personal, unstructured story and reliably produces a coherent video from it.
Our Approach:
We built the full-stack web platform capturing the user's written journey, with a backend AI agent orchestrating the generation pipeline that converts that text into video output.
The Result:
A working, deployed AI agent product, proof that we build with generative AI as the core product mechanic, not a feature bullet added at the end.
The Problem:
Text-to-video is easy to demo and hard to productize, the challenge isn't calling a generation API once, it's orchestrating an agent that interprets a personal, unstructured story and reliably produces a coherent video from it.
Our Approach:
We built the full-stack web platform capturing the user's written journey, with a backend AI agent orchestrating the generation pipeline that converts that text into video output.
The Result:
A working, deployed AI agent product, proof that we build with generative AI as the core product mechanic, not a feature bullet added at the end.
My Role
AI Video Generation Platform
An AI agent that turns a written journey into a finished video
An AI agent that turns a written journey into a finished video