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An AI venture, built through acquisition.
Product execution and full-stack engineering for an AI content-marketing platform that combined language, voice, and image generation.
The problem
Make generative capabilities useful inside a content-marketing workflow. Model outputs had to become something a customer could actually publish.
What made it hard
Four questions shaped the build.
- Which content a marketer needs, and in what form.
- Which models produce it: GPT-4o for language, ElevenLabs for voice, Stable Diffusion for images.
- What the product surface and delivery process look like.
- How the business works: pricing, P&L, and the path to an exit.
The system
A SaaS product that connected language models, voice generation, and image generation through cloud services and a DevOps pipeline into a repeatable content workflow.
What is new
One workflow that turned three kinds of generation into content a customer could ship, instead of three separate tools to stitch together.
The result
NextGen was acquired. I worked across the technical and commercial sides of the company through that transition.
At a glance
- Product execution and full-stack engineering
- Language, voice, and image generation in one workflow
- P&L ownership through acquisition