I turn complex AI and Web3 products into platform-native stories, campaigns, and content systems that earn attention and grow audiences.
I use agents, automations, and generative tools to increase speed and range, while I still own the idea, story, taste, platform fit, and final decision.
My role: concept, references, creative direction, edit, and final QA. AI-generated footage.
The goal is not to generate more average content. It is to remove repetitive work, create more room for testing, and give human judgment more options to choose from.
Research, classification, pattern analysis, repurposing, checks, and production handoffs become structured workflows instead of repeated manual tasks.
Language, image, video, and voice models make it possible to explore more hooks, formats, storyboards, and creative directions quickly.
Taste, timing, cultural context, visual nuance, and brand judgment stay human because the smallest miss can make content feel wrong.
My current work connects product storytelling with repeatable creative production. I direct the concepts and final output, then use coding agents and generative tools to build the workflows around them.
Reusable layouts, brand settings, generated artwork, and a live slide preview. The editor and export use the same renderer. Later iterations added portrait and landscape output and direct copy editing.
The public demo is my independent prototype. Current internal iterations are described in the case study.
Try the public prototypeTurn an audience problem into a script, generated creator footage, and a finished ad with real product UI. Character references, review batches, correction notes, and reusable assets support the next edit.
Scripts, visual direction, launch films, and product demos for an enterprise knowledge product. I connect the feature to a familiar work problem, then direct the motion, edit, and sound around that story.
Built tools for banners, carousels, animated graphics, video templates, and captioned reaction edits. Editable project files connect AI-assisted creation with hands-on revisions and export.
Organized characters, prompts, finished assets, and review indexes into searchable libraries. Human review checks identity, framing, text, timing, sound, and final playback before delivery.
Cinematic product storytelling at launch speed
I start from a product priority, market tension, or community question, then use AI to widen the creative search and produce the footage. I still write the story, find the references, direct the look, edit, and approve the final cut.
More context: the full case study covers the launch narrative, content system, creator campaign, static storytelling, and results.
Read the GoDark case study →
Research, batch production, and multi-account distribution
I own the architecture, strategy, prompts, creative direction, QA standards, and day-to-day operation. Coding agents assembled most of the scripts under my direction, turning a manual content process into a connected research, generation, review, and publishing pipeline. The research pool indexed 716 competitor TikToks and 7,815 Reddit posts. I used those inputs to identify audience questions and hooks, produce branded batches, schedule approved content, and monitor what performed.
The operating rule: depending on the opportunity, the system can adapt an existing asset, rebuild a proven format with new imagery, or develop an original visual concept from scratch. AI scales research, classification, variants, and assembly while format selection, creative direction, full-resolution QA, the CTA, trending sound, and the final publish decision stay human.
Character-led crypto education built for retention
I turn market events, product mechanics, and trader psychology into short stories built around two recurring characters. AI drafts and renders, but I refine every script myself to keep the humour, timing, and voice human.
The feedback loop: comments, recurring questions, audience language, and market conversations become the input for future episodes.
I combine technical curiosity, audience instinct, and hands-on production. The goal is not just more content. It is clearer products, faster learning, and attention that supports growth.
Turn technical products and market ideas into clear, platform-native stories people want to watch.
Connect research, agents, generative tools, production, QA, and publishing into reliable workflows.
Explore more hooks, creative directions, and channels without lowering the quality bar.
Protect the claim, context, brand voice, cultural nuance, and final creative decision.
I choose tools based on the job: research, language, image, motion, voice, editing, or orchestration. The durable skill is knowing how to connect them into reliable creative work.
Finding patterns, structuring information, and coordinating repeatable tasks.
Concept development, original imagery, composition, and visual exploration.
Storyboards, cinematic generation, character consistency, and programmatic render.
Narration, character voices, pacing, typography, continuity, and final QA.
I build systems that let small teams create, test, and learn faster while keeping the final voice and creative decisions human.