ReSeorch.AI
Seo Gyeongmin · Registered sole proprietor · Korean Text · Audio & TTS
AI evaluation work
Compare speaking intervals and response timing
Software QA work
Reproduce the problem and narrow the cause
Independent project · workflow design
Separate AI tasks from human decisions
Independent research · Korean context
Use context to narrow an interpretation
Korean Text · Audio & TTS
Outlier · Independent Contractor
I review Korean text and audio/TTS outputs against provided requirements and evaluation rubrics. My work includes comparing outputs, identifying errors and ambiguous cases, and documenting the reasons for my judgments.
An independent project case study.
Mobile applications · Telecom services
Test & C Inc. · Full-time employee
Performed defined functional, compatibility, and regression tests for mobile applications and related telecom services. Reproduced and documented defects, recorded test conditions, and verified fixes across mobile and wearable environments.
An independent project case study.
Bachelor's studies in culture and liberal arts
June 2026 · Personal evaluation project
I reviewed an AI response that interpreted a Gyeongsang dialect passage in standard Korean. I considered the response usable while recommending a less categorical explanation of one time expression. The same response already included a broader interpretation, and I assessed the balance between those interpretations.
The translated sentence used “the day before yesterday”; an explanation in the same response also allowed “a few days ago.” I recorded factual accuracy as 3/4 and Korean context fit as 4/4. These scores are from my June 2026 evaluation record.
This is one of 10 prompt responses I evaluated against 8 criteria, recording scores, defects, reasons, and suggestions. I performed the evaluation; AI assisted with the templates.
Read the original response and my evaluation (Korean)June 2026 · Personal QA project / October 2026 · Site revision
Reviewed website behavior and built Playwright checks for key elements, link attributes, and narrow-screen visibility. The original test record is dated June 2026.
For the October revision, I defined requirements and reviewed content and reading flow. AI assisted with implementation and checks for responsive layouts, navigation, and keyboard behavior.
Web QA case study (Korean)Reviewed source preservation and input/save workflows.
Explore the project and demo (Korean)Reviewed input structures, exception states, source preservation, and workflows in a personal spreadsheet-based operations tool. Implementation was AI-assisted.
Explore the project and demo (Korean)Apply requirements, compare outputs, and explain differences with supporting reasons.
Related work (Korean)Analyze naturalness, tone, and context, and identify the evidence or follow-up questions needed for a decision.
Related work (Korean)Record conditions, steps, and observations so that an issue can be reviewed again.
Related work (Korean)Use Playwright to check responsive layouts, navigation, and keyboard behavior, with AI assistance for implementation and test updates.
Query and aggregate data using GROUP BY, HAVING, JOIN, NULL, and subquery concepts.
Use AI-assisted Python scripts to check inputs and records and organize results.
Manage source files, outputs, and change history for personal projects.
Does more reasoning improve the fit of a Korean response to its context?
Context-reviewed cases · Limited response collectionAn independent project on Korean conversational context. I reviewed case context, incorporated design feedback, and completed a small response-collection and blind-comparison-card workflow. Final response ratings and model comparisons are planned.
My contribution. I review necessary context, unsupported assumptions, exceptions, and conditions for withholding judgment. Candidate drafting and tool implementation use AI assistance.
Scope. Scope: developmental synthetic cases and a small connectivity run. Final response evaluation and condition comparisons are the next steps.
Content checked:
Project note in KoreanHow well do predicted response behaviors match observations?
Collection and judgment records complete · Validation and analysis plannedAn independent project comparing predicted response behavior with observations. Responses and judgment records are collected, including entries based on AI-compressed summaries. Original-response validation and predictive analysis are the next steps.
My contribution. I review the research question and scope and record judgments and reasons after reading responses or AI-compressed summaries. Tool implementation and technical checks use AI assistance.
Scope. The study covers response behavior under fixed model, input, and session conditions. Original-response validation and predictive analysis are planned.
Content checked:
Project note in KoreanDo explanations stay consistent when evidence and conditions change?
Scenario and execution tools tested offline · Before response collectionAn independent project examining how AI explanations change with evidence and conditions. I prepared the scenarios and execution tools and checked the input, logging, and aggregation workflow offline.
My contribution. I define and review the research question, scope, and conditions for proceeding. Design documentation, implementation, and tests use AI assistance.
Scope. Current stage: synthetic scenarios and offline tool validation. Model-response analysis follows collection.
Content checked:
Project note in KoreanResearch summaries v2.1.
