AI agents × print-on-demand

Ideas become products.
Agents connect the work.

Leavaq is a startup building AI agent systems for print-on-demand commerce. We connect product development and selling workflows across Shopify, Amazon and Walmart.

See our system in action
LEAVAQ / SYSTEM DESIGN01 — COMMERCE
HUMAN DIRECTION + AI COORDINATION

One connected workflow

01 / DISCOVERResearch & product ideas
02 / CREATEDesign & listing preparation
03 / OPERATEOrders & fulfillment workflows
04 / LEARNPerformance & iteration
ShopifyAmazonWalmart

Conceptual architecture of the systems we're developing.

Built around the realities of multi-channel commerce.

ShopifyamazonWalmart

A look inside our systems

See the work.
Follow the workflow.

Our commerce operations bring AI-assisted product creation and everyday order management together. Explore real screens from our internal tools, from the POD workshop to product assets and social content.

The product-to-market workflow

  1. 01ResearchProduct signals & opportunities
  2. 02DesignArtwork & creative assets
  3. 03MockupProduct previews & lifestyle images
  4. 04TemplateMarketplace listing files
  5. 05UploadTeam review & publication
  6. 06LiveCatalog & listing visibility
  7. 07SalesOrders & operational follow-up

One order, through production.

Filter orders by platform, store, supplier and date. Assign design work, attach print files and follow production and shipping status in the OMS.

PendingDesigningReadyProductionShippedDelivered

People guide the handoffs.

AI-assisted research and asset creation support the team. People review creative output, prepare channel-specific listings and manage publication and fulfillment decisions.

Shopify and Walmart order operations sit alongside Amazon listing-file preparation. Available integrations depend on each channel's configuration.

Screens are adapted from our actual internal tools for public presentation. System branding, private addresses and customer details are omitted. Counts and status labels describe the captured screen, not real-time activity.

Our approach

Less fragmented work.
More room to build.

Print-on-demand brings creative work, product data and daily operations together. We're developing agents that help connect those tasks, with people guiding the decisions that matter.

01 / PRODUCT DEVELOPMENT

From a signal to a product

Explore niche ideas, organize research and prepare design briefs. Bring creative judgment into a repeatable product development process.

02 / CHANNEL READINESS

Prepare for each marketplace

Structure product information, draft listing content and support channel-specific checks before publication.

03 / DAILY OPERATIONS

Keep the workflow connected

Support order monitoring, fulfillment coordination and exception review, so teams can focus on the work that needs attention.

Three channels. Different needs.

A shared foundation.
A channel-aware approach.

We develop workflows around each selling environment, instead of assuming every storefront and marketplace works the same way.

A storefront shaped by your brand.

Our Shopify development focus connects product content, catalog organization and order workflows, helping teams build a consistent brand experience.

Product contentCatalog organizationOrder workflows

Shopify, Amazon and Walmart are the commerce platforms in our development focus. Their names do not imply an official partnership or endorsement.

How we build

Automation with
human judgment.

Our goal is practical AI: clear responsibilities, reviewable work and systems that help a commerce team move with confidence.

People remain in control

Human review belongs at meaningful decisions, including creative approval and sensitive operational actions.

Work should be traceable

Agent tasks should produce clear outputs, with enough context for a person to understand and review them.

Improve one workflow at a time

Start with specific commerce tasks, evaluate the results and connect the pieces as the system matures.

Building the next chapter
of POD commerce.

Contact Leavaq

Internal-system screenshot prepared for public viewing.