01 / MOYSIS MOYSEOS
Selected projects.
Tools, applications and experiments — how they work, what I contributed, and the decisions behind them.
Reading receipts, checking the output
A receipt scanner that turns a photo into itemized purchase data, then checks the model’s output against the scanned text. Everything runs locally.
Giving coding agents room to work
Several AI coding agents work on one codebase in separate working copies. A supervisor can retry a failed task, reassign it or ask a person to step in.
Showing the support behind an answer
A document-chat interface that displays answers and support labels returned by a separate retrieval and grading workflow.
Capturing a web page through an API
A self-hostable service that takes a URL and returns a screenshot, PDF or archived page, using headless Chromium behind a job queue.
Checks permissions before retrieval
A document-access foundation that resolves which records a person may read, designed to sit before retrieval for an AI answer.
The work behind a contact form
A contact endpoint for a local-business site that stores submissions, checks for abuse and sends email and CRM notifications.
Comparing approaches to fraud detection
Coursework revisited as a fraud-detection service, with decisions weighted by the cost of approving, declining or reviewing a transaction.