Jonathon Dean
AI Workflow & Transcription Specialist
New to Contra
Jonathon is ready for their next project!
I worked on an internal local AI memory and routing system intended to improve how AI workflows manage context across projects. The goal was to create a more structured way for an assistant system to remember important project details, route tasks, and support ongoing work without relying only on one-off conversations.
This project focused on modular system design, local-first thinking, persistent context, and future workflow automation.
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I created an internal workflow for generating and organizing AI-assisted visual assets. The workflow is designed to help turn prompts and project needs into usable images for content, marketing, and automation workflows.
The goal was to create a repeatable process where generated assets can be reviewed, stored, and prepared for use in larger automated systems.
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I developed an internal posting workflow that connects content preparation, automation routing, and publishing tools into a more organized process. The system was designed to reduce repetitive manual steps and create a foundation for future AI-assisted content publishing.
This project focused on workflow orchestration, task routing, structured file handling, and automation planning.
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I built an internal transcription pipeline designed for accurate, privacy-conscious audio and video processing. The workflow accepts media files, generates clean transcripts, timestamped transcripts, captions, and quality reports, then organizes completed jobs into structured output folders.
The system uses a multi-pass AI review approach with local processing whenever possible, helping reduce reliance on public online transcription tools while improving accuracy and consistency.
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