Good Sign
AI virtual staff for small
service businesses
Workflow design, integrations,
and human oversight.
Exploring applied AI / FDE roles
From business operations to applied AI.
AI virtual staff for small
service businesses
Workflow design, integrations,
and human oversight.
Practical AI systems for
real-world problems. From
operations to customer experience,
built to be used.
An AI virtual-staff service in development for small service businesses. Designed to help owners manage customer relationships and follow up on leads with less computer time.
Founder and builder. I use AI-assisted development to connect workflow design, integrations, and human oversight around the owner's day-to-day work.
This is pre-launch work, not a claim of deployed customer results.
A guided workflow for product-image generation and editing. Start with a source product picture, choose a shot style, and add specific requests.
The prompt workflow prioritizes branding and text while shaping the requested image. AI-assisted development supports a more deliberate path from a source photo to a shot direction.
Fidelity is a design goal, not a guarantee of every generated result.
I moved from store management through e-commerce, IT, and product development to CTO. The work spans hands-on integrations, migration, and workflow automation.
I solo-built and migrated the full Shopify store to WooCommerce in about two weeks, with downtime below one hour during DNS cutover.
The existing functionality carried forward through the complete platform migration. WordPress and WooCommerce became the foundation for the next stage of the operation.
Software, systems, and physical products. Different materials, the same responsibility to make something work.
A Linux thin-client prototype with guided Mac-based build tools, private remote-access onboarding, and browser-accessible remote desktop. Python, Lima, and QEMU around a Debian-based image.
Physical-device compatibility and the full Mac build still require validation.
Visit CodeSwarm (opens in a new tab)A cookie-dunking idea taken from 3D-printed prototype to injection-molded production in about four months. I handled invention, prototyping, and launch.
The pre-order store opened within 12 hours of the first post. The product reached more than three million TikTok views.
View the patent (opens in a new tab)A nootropic energy gummy brand built from scratch: formulation development, contract manufacturing, brand identity, DTC e-commerce, and fulfillment infrastructure. Every component owned and operated in-house.
Visit AIMBOT (opens in a new tab)A kratom beverage developed from the ground up: proprietary formulation, full brand development, regulatory navigation, and DTC launch.
Visit KRUSH (opens in a new tab)Purpose-built, production-ready web utilities solving specific operational and development problems. Focused tools for developers and operators.
Explore the tools (opens in a new tab)A manufacturing operations platform for physical product companies: production run tracking, QA checkpoints, ingredient lot management, and inventory control. Built to replace the spreadsheet infrastructure that breaks at scale.
Visit Batcha (opens in a new tab)Some work stays behind the scenes: proprietary inventory systems, production dashboards, fulfillment backends, and logistics infrastructure. Not every useful system has a public URL.
My path started in operations. That experience shapes how I build with AI: understand the problem, connect the systems, and make the result useful.
Business systems / Applied AI / Physical products / Tools & prototypes
I build AI-assisted products and coordinated agent workflows, with human oversight where decisions and operations need it.
API integrations, internal workflows, and data migrations connect the tools behind an operation. Physical products bring together design, 3D prototyping, production, and branding.
A working prototype reveals what a plan cannot. I build, test against reality, and refine from there.
Real use creates the feedback that moves a product forward. Delivery is a beginning, not the end of the work.
I look for recurring manual processes and build the integrations and automation around them.
Across disciplines, the test is whether something functions, ships, and performs.
From electronics, formulation chemistry, and supply chain logistics to software and firmware development, unfamiliar territory becomes useful knowledge through deliberate application.
Hiring for an applied-AI or forward deployed engineering role? I'd like to hear about the problems your team is working on.
Tell me what needs to be built, connected, or simplified.