VIBE CODING QA
IILL reviews bugs, security boundaries, accessibility, search visibility, analytics and release risks in AI-built websites and apps. Start with a diagnosis, then choose mentoring or a focused code improvement.
Inspection records from our own sites and a local restoration experiment. Each record states its date and scope.
Download the experiment code and results for three synthetic files, with hash and link checks. The detailed write-up is in Korean.
File-layer checks only. Production databases, servers and email recovery require separate verification.
Open the experiment (Korean)A migration checklist with a URL mapping template and a clear boundary between build checks and search outcomes.
These checks do not establish indexing recovery or ranking gains.
Read the checklistAn event contract and implementation checklist explain which outcomes count as a lead.
Illustrative numbers are not customer data. Production delivery and GA4 collection need their own checks.
Review the measurement contractThe information and inquiry path that earns trust changes by practice. Open a card to explore the structure and screen in context.
Concept portfolio: these brands are design and implementation demonstrations created by IILL, not client case studies or operating businesses.
Not sure which department to book for a symptom?
Unsure whether to start with a lawsuit or a formal notice?
Not sure which documents to send before this filing?
Reads the code and points out the risky spots and the edges that are easy to miss, recording what was checked and what remains unverified.
Looks at the work in progress with you and decides the next single step, focusing on building judgment rather than handing over answers.
Picks one part of an existing site or tool and improves it in a way you can measure, preferring a narrow, verifiable change over a large rewrite.
We turn uncertain ideas into testable product decisions, a disciplined first release, and production-ready software. The people making the decisions stay close to the work.
Define the user, the problem, and the business outcome.
Turn priorities into a focused first-release plan.
Design and build a launch-ready product experience.
We turn uncertain ideas into testable product decisions, a disciplined first release, and production-ready software. The people making the decisions stay close to the work.
Reads the code and points out the risky spots and the edges that are easy to miss, recording what was checked and what remains unverified.
Looks at the work in progress with you and decides the next single step, focusing on building judgment rather than handing over answers.
Picks one part of an existing site or tool and improves it in a way you can measure, preferring a narrow, verifiable change over a large rewrite.
Account handover, recovery, conversion measurement. Working through the questions you meet in operations, with code and docs.
Use an evidence-based handover checklist for domains, DNS, hosting, source code, analytics, email, backups, billing, and recovery access.
Read insightIdentify the registrar, registrant, DNS and host, preserve evidence, and recover client-owned access before paying to rebuild a missing website.
Read insightMeasure CTA clicks, form intent, server-confirmed success, and failure as separate GA4 events while preserving UTM attribution and keeping form data private.
Read insightWe consider new products, web services, applied AI, and digital brand engagements. Share the context, goal, timeline, and expected scope; we will suggest the most useful next step.