02
Brand Sites
Live previews of the two brand landing pages.
One hub for the apps, brand sites, and content work — games, costumes, comedy, and the AI toolkit behind all of it.
Built and shipped, or in the works.
The party game — guess the guest of honor. Playable right now.
Play Spill Da Beans →The next build — a habit tracker. Project is queued to go up at netlify.com/habit.
In ProgressLive previews of the two brand landing pages.
A hands-on kit of 18 generative AI tools — used daily to write, design, animate, and publish content that moves fast and looks good doing it.
The thinking partners — for drafting captions, scripts, pitches, and pulling together research fast.
Anthropic's AI assistant, used for writing, editing, and research support.
Anthropic's flagship model, handling more advanced writing, editing, and reasoning work.
OpenAI's conversational AI, used for content drafting and brainstorming.
OpenAI's multimodal model — blends text, image, and voice into one workflow.
Google's AI assistant, useful for research and Google Workspace integration.
An AI reasoning model used for research and technical problem-solving.
An AI search engine that answers questions with cited, up-to-date sources.
Turning a text idea into a finished visual — concept art, custom graphics, and photoreal edits.
Generates original concept art and stylized visuals from a prompt.
OpenAI's image generator, used for custom visuals built straight from text.
An open-source image model, flexible for fully custom visual content.
Google's fast, photorealistic image generation and editing model.
Where the content actually comes to life — generated clips, AI presenters, and final edits.
Generates short-form video clips straight from text or images.
Creates talking-head videos with an AI avatar reading a script.
The final stop — editing raw and AI-generated footage into polished, social-ready video.
For when a project needs more than content — an actual working app or automation.
Anthropic's agentic coding tool, used to build and troubleshoot software projects.
Turns a plain-language prompt into a working web app — no code required.
RAG is what makes an AI's answer trustworthy instead of just plausible. Rather than relying only on what a model memorized during training, RAG has it retrieve real information first — documents, current data, brand guidelines — and then write its answer grounded in that material.
For content work, that's the difference between an AI guessing at a fact and an AI checking its source before it writes a single word. Think of it like an open-book test: the model looks something up before it answers, instead of answering from memory alone.
Follow It All
Every account across every brand, in one place.
Costume Corena
INSTAGRAM @costumecorena → YOUTUBE @costumecorena619 →Apropos of Bupkis
INSTAGRAM @aproposofbupkis → FACEBOOK Apropos of Bupkis → TIKTOK @aproposofbopkis → YOUTUBE @apropos_of_bupkis → SUBSTACK @aproposofbupkis →Personal
INSTAGRAM @liquornaked → REDDIT u/liquornaked →