Boilerplate in English
AI/AX training and workflow automation from Jinju, Gyeongnam
I help local teams turn AI from a vague trend into practical training, small automation flows, internal web apps, and service pages.
What Boilerplate does
The focus is practical adoption. Instead of selling generic AI hype, each project starts from a real workflow: documents, spreadsheets, customer inquiries, internal tools, service pages, or a small MVP that the team can actually use.
Service
AI/AX training
Hands-on training for teams that need to use generative AI in documents, reports, research, customer response, and daily operations.
Service
Workflow automation
Small automations for repeated spreadsheet work, document preparation, customer inquiry sorting, alerts, and reporting.
Service
Internal web apps and MVPs
Practical web tools, prototypes, and first working versions (MVPs) for teams that need a working screen before a large system build.
Service
AI-search-ready service pages
Service pages, FAQs, structured data, sitemap, robots.txt, and llms.txt designed for search engines and AI answer engines.
Who this is for
Boilerplate is based in Jinju and mainly works with teams in Gyeongnam. Remote collaboration is possible, but the core positioning stays local and execution-oriented.
Audience
Local companies
For teams in Jinju, Changwon, Sacheon, Gimhae, and nearby Gyeongnam cities that want practical AI adoption without a large internal development team.
Audience
Institutions and schools
For public institutions, schools, and education programs that need beginner-friendly but work-focused AI/AX sessions.
Audience
Small businesses
For owners who need customer inquiry cleanup, content drafts, simple forms, scheduling, or repetitive admin work reduced.
Examples of practical work

Product
StyleSnap
A Chrome extension that helps collect visual style references and turn them into reusable prompts for design and frontend work.

Product
Isaganaseyo?
A public web service experiment for housing and moving-related information workflows, built as a real product rather than a slide-only concept.
How a project starts
- Clarify the current work process, team size, tools, and the real bottleneck.
- Pick the smallest useful result: a training session, a form-to-sheet flow, a prototype, or a service page.
- Build or teach with practical examples, then adjust after actual use.
- Add more automation only when the first version proves useful in daily work.
Contact
English communication is possible by email. Korean pages contain the full local service details, including AI/AX training, business automation, web app development, and AI-search-ready homepage production.