# Work — things Andrei Teodor has built

> Automation and software built by Andrei Teodor: an online store with a photo-to-listing pipeline, an open-source macOS app, a research agent, a supervised video pipeline and a WhatsApp document bridge.

Evidence levels: **Live** = anyone can visit it. **Open source** = code and releases are public. **Private build** = built and documented, not public; details on request.

## [Resin Home Decor](https://aiia.ro/ai-builds/resin-home-decor/)

- Type: Online store + photo-to-listing pipeline
- Evidence: Live — https://resinhomedecor.com
- Year: 2026
- Tech: Next.js, Postgres (Drizzle), Stripe, Resend, Chrome extension, ChatGPT image generation

A storefront for a Kuwait-based maker of handmade resin and coastal decor, plus a one-click flow that turns a raw product photo into studio-style images and a listing.

## [DeepSeekBar](https://aiia.ro/ai-builds/deepseekbar/)

- Type: Open-source macOS menu bar app
- Evidence: Open source — https://github.com/andreiteodor97/deepseekbar
- Year: 2026
- Tech: Swift, SwiftUI, macOS 13+, GitHub Actions, Homebrew cask

Shows DeepSeek's live API rate (peak costs double) and the spend DeepSeek actually billed, right in the menu bar. Swift, no dependencies, MIT licensed.

## [Bloodhound](https://aiia.ro/ai-research-and-lead-generation/)

- Type: Research and lead-generation agent
- Evidence: Private build
- Year: 2026
- Tech: TypeScript, Next.js, PostgreSQL, DeepSeek, SerpAPI

An agent that plans a research mission before it searches, crawls public sources, keeps the evidence behind every accepted fact and exports JSON, CSV and Excel.

## [SoftDoctor Studio](https://aiia.ro/ai-builds/softdoctor-studio/)

- Type: Supervised short-video pipeline
- Evidence: Private build
- Year: 2026
- Tech: TypeScript, Vite, FFmpeg, Speech and image models

Takes an authorised source video through transcription, original Romanian scripting, voice, visuals and assembly. Approvals are tied to exact files, and publishing is off by design.

## [WhatsApp document bridge](https://aiia.ro/ai-builds/whatsapp-document-bridge/)

- Type: Chat-based document automation
- Evidence: Private build
- Year: 2026
- Tech: Node, Python, WhatsApp, systemd

Documents sent by an approved WhatsApp contact go through an existing processing workflow, and the finished file comes back in the same chat.

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Canonical: https://aiia.ro/ai-builds/ · Author: Andrei Teodor · Site brief: https://aiia.ro/agents/index.md