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M.K.Product / Workflow / GTMTaiwan - Canada

From market insight to AI product systems.

Building product, content and growth engines across Taiwan and Canada through AI workflows, automation systems and hands-on ecommerce experience.

AI Venture Builder across Product, Workflow, Ecommerce, and GTM Systems.

Product BuilderAI WorkflowEcommerceTaiwan × Canada GTM
M.K. portrait
Portrait / Field noteAI Venture Builder / Product Systems
Selected Work

From product and marketing to automation, I build ideas into testable businesses.

These projects span AI tools, websites, SEO/GEO, real estate research, image production, e-commerce operations and brand experiments. The common thread is simple: understand the market, shape the offer, launch it, and automate what can repeat.

2025-2026Venture Builder / Workflow ArchitectOutbound, CRM, SMB GTM

AI Auto BD Kits

A reusable outbound system for early-stage AI and SMB offers.

AI Auto BD Kits turns markets, regions, languages and customer segments into a repeatable outbound workflow: lead sourcing, deduplication, Google Sheet CRM, Gmail API sending, reply sync and weekly iteration. The point is not to send more email. The point is to help early products test market signals before the offer is fully fixed, and to let each reply, rejection and conversation feed back into the next version of the offer.

Problem

Early AI products often have a demo, but not a clear view of whom to contact, how to frame the offer, how to record replies, or when to judge that a market signal is not strong enough.

System

Lead sources, CRM fields, send cadence, reply labels and weekly reviews form a reusable outbound loop.

Signal

Reply rate, qualified conversations, rejection reasons and offer changes indicate whether a market is worth another cycle.

Google Sheet CRMGmail API workflowLead cleaning rulesWeekly iteration notes
2025-2026Workflow Design / Production QAFashion e-commerce, VTO, image operations

VTO Ultra

AI virtual try-on and image production workflow for fashion e-commerce.

VTO Ultra focuses on high-volume SKU image production, input standardization, fixed AI models, VTO providers, QA and cloud delivery. The central question is not whether a single generated image can look impressive. It is whether AI image production can move into a controlled production rhythm with consistent inputs, reviewable quality, recoverable errors and useful delivery for brand or e-commerce teams.

Problem

AI fashion imagery demos can look strong, but volume, fit variation, brand consistency and delivery quality are the harder constraints.

System

Asset standards, model rules, provider testing, QA criteria, batch naming and cloud delivery define the production workflow.

Signal

Pass rate, rework rate, delivery time, brand acceptance and repeatability indicate whether the workflow is stable.

SKU production workflowModel consistency rulesVTO provider comparisonQA checklist
2025-2026Product Strategy / Report WorkflowReal estate, Chinese market, research content

PropertyLens / InsightEstate

AI real estate research reports for Canadian Chinese buyers and agents.

PropertyLens / InsightEstate combines Canadian real estate information, buyer decision-making, immigration context and agent expertise into AI-assisted research reports. The work is not about one-off content. It is about helping agents use structured research and narrative to make locations, properties and risks easier to understand, while turning the report into a trackable commercial touchpoint.

Problem

Chinese-speaking buyers need real estate information that understands context, while agents need a more trust-building format than ordinary social posts.

System

Area research, property interpretation, buyer questions, report templates and delivery channels form a repeatable content workflow.

Signal

Report opens, forwarding, consultation questions and mandate intent show whether the content is creating trust.

Report templateBuyer decision frameworkChinese-language positioningAgent-facing workflow
2024-2026Founder / OperatorAI adoption, content, websites, business workflows

FlyPig AI

A field lab for turning AI tools into business workflows.

FlyPig AI is the brand M.K. uses to experiment with and deliver practical AI business adoption. It spans content, websites, business development, SEO/GEO/AEO, e-commerce workflows and enterprise adoption. The working style is pragmatic: place the problem inside a workflow, decide where AI should enter, then turn repeatable parts into tools, templates or delivery systems.

Problem

Companies and founders often know AI matters, but do not know which workflow to begin with or how to turn tool trials into operating capability.

System

Content, websites, BD, delivery and internal workflow projects accumulate reusable AI adoption patterns.

Signal

Real clients, owned brands and market tests show which methods can keep working after the demo stage.

AI workflow libraryClient delivery patternsContent systemSEO / GEO / AEO experiments
2025-2026Product / GTM / Delivery SystemLocal business, SEO, GEO, Cloudflare

3Kup SEO

A low-friction AI-assisted SEO / GEO website offer for local businesses.

3Kup SEO packages websites, SEO, GEO FAQ, Cloudflare deployment and lead forms into a service local businesses can understand and adopt with low friction. It does not sell AI as an abstract vision. It places AI inside familiar business needs: being found, being compared and being contacted. The project tests how AI capability can enter SMB markets through a clear offer and a delivery process that reduces education cost.

Problem

Local businesses need online visibility, but often do not want to start with complex technical explanations or large consulting retainers.

System

Site generation, FAQ architecture, search intent, lead forms and deployment steps are turned into a fixed delivery package.

Signal

Inquiries, form submissions, keyword coverage, customer comprehension and delivery cycle time show whether the offer is working.

Website delivery workflowSEO / GEO FAQ templatesCloudflare Pages deploymentLead form routing
2020-2026Operator / Brand BuilderE-commerce, outdoor brand, operations

ICareU / Horizon Outdoor

An operating ground for e-commerce, brand and AI workflow experiments.

ICareU / Horizon Outdoor provides real e-commerce and outdoor brand operating contexts for testing AI in product copy, ad assets, content systems, order organization and day-to-day workflows. These experiments are not staged in imaginary conditions. They face products, inventory, customer service, sales and platform constraints, keeping AI workflow design close to the work it is supposed to support.

Problem

Without a real operating context, it is difficult to know whether an AI tool can handle repetitive, ordinary work that still affects the business.

System

Product data, content production, ad assets, order processes and brand operations become a working test ground.

Signal

Production speed, content consistency, process errors, support load and sales feedback show whether AI is reducing friction.

E-commerce operationsBrand content workflowAd creative experimentsOrder and inventory process notes
Praxis

My strength is turning market signals into product direction.

I work across demand, technology, content, sales and delivery. The goal is not only to produce a demo, but to make a product understandable, testable, sellable and ready to become a repeatable workflow.

01

Find product direction from market demand

I begin by looking at where customers already spend time, money or attention, then turn those signals into a clear product hypothesis.

02

Build the product myself

From websites and content structure to data flows and AI integrations, I can build the first working version without waiting for the idea to become a long specification.

03

Use sales and marketing to test the market

After launch, I use content, lead lists, outbound, SEO, social channels and partnerships to test response, then feed those signals back into the product.

04

Automate the work so it keeps running

Once the method works, I turn leads, content, replies, delivery, tracking and review into automated workflows so the project can keep improving and growing.

Systems

I care less about one-time delivery and more about systems that keep moving.

Every project should leave behind reusable workflows: leads, content, forms, CRM, outbound, deployment, delivery and review. Technology matters when it makes business motion faster, clearer and easier to scale.

01

AI Auto BD Kits

Outbound loop / CRM / Gmail API / weekly iteration

A trackable business development system for segments, leads, sending, replies and offer iteration.

02

3Kup SEO delivery workflow

Website / SEO / GEO FAQ / Cloudflare / lead form

A low-friction delivery workflow for local businesses that need websites, search structure and lead capture.

03

VTO Ultra production workflow

SKU intake / VTO provider / QA / cloud delivery

A controlled workflow for moving AI fashion imagery from single demos into batch production and QA.

04

PropertyLens report workflow

Research / buyer questions / agent trust / report templates

A research report workflow connecting real estate information, Chinese buyer context and agent trust-building.

Related Properties

Work across different fields shapes my market instinct.

These brands and sites are live experiments across e-commerce, content, real estate, fashion imagery and AI workflows.

01
EC Ultra
02
Elite Fashion
03
Neo Babylon
04
IP Verse AI
Notes

I look at AI through business impact, not technology alone.

Short observations on what actually affects success when AI enters products, sales, marketing and operations.

Note

AI projects usually fail outside the model

The more common issues are ownerless workflows, unstructured data, unclear adoption paths, or demos that do not connect to a business rhythm.

Note

GTM starts earlier than the demo

If an AI product cannot explain who uses it first, why now, and how it will be delivered, a complete prototype may still fail to reach the market.

Note

Chinese-speaking SMB adoption needs a more grounded path

Many small businesses do not lack tools. They lack a practical bridge from existing work habits into AI-supported workflows.

Contact

Bring early opportunities into product and market rhythm.

For early AI, ecommerce, content or cross-market projects with real demand signals and a product direction that needs sharper positioning, web presence, content, sales, automation and delivery workflows.

Helpful context: what you are building, what is currently blocked, and how you would like me to participate.

EMAIL to M.K.FBReturn to work