Do you trust just one AI?
Compare multiple AI responses simultaneously
and select the most accurate result.
Sound familiar?
Common problems when using AI for work.
AI confidently gave wrong answers
Have you ever trusted ChatGPT's confident-sounding but incorrect information and used it in your work?
Different AIs give different answers
Same question, but ChatGPT, Gemini, and Claude give different answers. No criteria for choosing.
Relying on a single AI for important decisions
Reports, contract reviews, translations - relying on one AI's judgment is risky.
Employees use different AIs
Some use ChatGPT, others Gemini. Output quality is inconsistent with no unified standard.
No AI usage records
No records of who asked what and what AI answered. Management and auditing are impossible.
No way to verify AI answers
To judge if AI's answer is correct, humans must manually verify. Double the time.
How It Works
One question, multiple AI responses compared side by side.
Ask a Question
Type your question as usual. Just once.
AI Responds Simultaneously
4-6 AIs respond at the same time, each from their own perspective.
Compare & Select
Compare responses side by side and select the most accurate result.
Why compare multiple AIs?
Overcome single AI limitations through cross-verification.
Prevent Hallucination
Even if one AI gives wrong information, comparing with other AIs reveals it immediately.
Remove AI Bias
Each AI has different training data. Combining multiple AI answers yields balanced results.
Select the Best Answer
Different AIs excel at different tasks. A may be better at translation, B at summarization, C at analysis.
Evidence for Decisions
"3 out of 4 AIs reached the same conclusion" - number-backed evidence makes reporting easier.
Effective for these industries
Where AI is used but accuracy verification is needed
IT / Software
Hidden security vulnerabilities in AI code
Code review comparison, technical docs, architecture validation, security analysis
Law Firms / Patent Offices
AI cites non-existent cases
Case analysis comparison, contract review, legal cross-verification
Healthcare / Pharma
AI generates inaccurate medical info
Medical literature summary, clinical data interpretation, drug interaction review
Finance / Insurance
AI includes unsubstantiated figures
Market analysis comparison, risk assessment, regulatory interpretation
Marketing / Advertising
AI copies all look the same
Copy comparison, market analysis, target strategy, competitor research
Research / R&D
AI cites papers that don't exist
Paper summary comparison, data interpretation, literature review
Education
AI-made questions have wrong answers
Exam question generation, textbook review, study material comparison
Accounting / Tax
AI answers based on outdated tax law
Tax law interpretation, tax strategy review, financial analysis
Trade / Logistics
AI-provided tariff rates are wrong
HS code classification, customs regulations, FTA origin determination
Consulting
AI report submitted directly to client
Industry analysis, feasibility review, competitive analysis
Manufacturing / QC
Terminology errors in AI-translated docs
ISO documentation, SOP review, technical spec translation
Media / Content
AI articles contain factual errors
Fact-checking, script comparison, subtitle translation review
Publishing / Translation
Mistranslation from using AI directly
Manuscript proofreading, translation quality check, fact-checking
Real Estate / Construction
AI provides outdated building codes
Contract review, regulation comparison, permit requirements
HR / Recruitment
AI job descriptions contain bias
Job description comparison, interview questions, labor law review
General Business
AI report submitted as-is got flagged
Report drafts, proposals, announcements, translation verification
Admin Dashboard
Executives and admins can monitor all employees' AI usage at a glance.
Per-Employee Usage
See who used which AI, when, in real-time. Compare usage by department and team.
Work History & Search
All questions and AI responses are automatically saved. Search past work by keyword and share best practices.
Per-Project Session View
Browse AI session logs organized by project. Track how much AI contributed to each project.
Usage Reports & Cost Analysis
Monthly AI usage, response times, and cost trends in reports. Ready for executive briefings.
Security & Audit Logs
Sensitive data detection, abnormal usage alerts, and audit trail logs. Compliant with internal security policies.
Role-Based Access Control
Executives see everything, team leads see their team, employees see only their own records.
Available Formats
Choose the tool that fits your work environment.
SQL Injection 위험이 있습니다.
Line 42의 query() 호출에서 사용자 입력이 직접 삽입됩니다.
Prepared Statement로 변경을 권장합니다.
심각도: Critical
주요 취약점 3건 발견:
1. SQL Injection — L42 파라미터 바인딩 누락
2. XSS — L67 출력 이스케이프 없음
3. CSRF — POST 핸들러에 토큰 검증 없음
htmlspecialchars($output)
OWASP Top 10 기준 분석:
A03:2021 Injection — query() 취약
A07:2021 XSS — 미이스케이프 출력
A01:2021 Access Control — 양호
3개 AI 공통: SQL Injection 최우선 수정
제 초기 분석에서 CSRF를 누락했습니다. POST /api/update 엔드포인트에 csrf_token 검증이 필요합니다.
CSRF까지 포함하면 위험도는 8.5 → 9.1로 상향 조정이 적절합니다.
PDO 사용 시 ATTR_EMULATE_PREPARES = false 설정도 함께 적용하세요.
취약점 4건 확정 (SQL Injection, XSS, CSRF, Emulate Prepares) · 위험도 9.1/10 · 최우선: SQL Injection + CSRF 동시 수정
Compare AI responses side by side in an intuitive interface. Click to operate, install and use immediately.
4개 AI 모두 현재 시간복잡도를 O(n²)로 분석했습니다.
최적화 방법에 대해서는 두 가지 접근이 제시되었습니다:
1. HashMap/Set — O(n), 추가 메모리 O(n) (GPT, Kilo, Codex 추천)
2. 정렬+투포인터 — O(n log n), 추가 메모리 O(1) (Gemini 추천)
데이터 크기가 크고 메모리 여유가 있다면 HashMap 방식을 추천합니다.
for (i) for (j) if (arr[i]+arr[j] == target)
// After: O(n)
const map = new Map();
for (const num of arr) {'{'}
if (map.has(target - num)) return true;
map.set(num, true);
{'}'}
Query and receive results quickly in the terminal. Integrates with automation scripts for repetitive tasks.
Service Plans
From installation to training and maintenance, all in one.
Initial Setup
- Environment analysis & installation
- AI service integration
- Department prompt templates
- Admin training (2 sessions)
Monthly Maintenance
- AI service monitoring
- Usage reports (monthly)
- AI model update support
- Prompt optimization support
- Usage Q&A support
Staff Training
- Admin training (operations)
- Department lead training
- User guide documentation
- Additional training by request
Start using AI systematically
Don't rely on one AI - build a system to compare multiple AIs
Get Consultation