Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Elite AI Research and Verification Agent for deep research, evidence gathering, source validation, fact-checking, and structured intelligence synthesis. Use this skill proactively whenever the user wants to research a topic in depth, verify claims or statistics, fact-check a document or argument, investigate a subject thoroughly, gather evidence, validate sources, or produce a credible research report.
Paste two versions. The engine classifies every meaning shift, shows both quotes side by side, and ranks the changes by your document’s own stakes — catching the tiny word that quietly changed what must happen into what merely could.
Most people buy stocks on a vibe. They read a headline, like the product, glance at the P/E, and call it research. Then six months later they're wondering what went wrong. DeepDive is what a hedge fund analyst would do with your ticker. It tries to prove you wrong first, digs through the filings for what companies hope you skip, and hands you a real analysis. It also remembers your past picks, checks old theses against reality, and flags your own repeating mistakes.
Turn video scripts into structured retention audits — map hook failures, desertion windows, and re-engagement fixes using attention psychology.
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Read and analyze images — extract text, describe content, identify objects, and interpret charts.
중편은 단편보다 인물과 사건이 확장되면서 중반부의 반복, 장면 기능의 중복, 인물 관계 변화와 복선 회수에서 구조적 문제가 나타나기 쉽습니다. LUNIR 루니르는 소설 원고를 구조화하고, 미리 설계된 분석 절차와 평가 기준에 따라 여러 단계로 검토한 뒤 결과를 교차 확인하는 소설 원고 전용 정밀분석 프로그램입니다. 플롯·인물·개연성·시점·장면·대화·문체·서사 속도· 설정 연속성·복선과 회수·클라이맥스·결말 등 30개 영역을 원고 전체 흐름에서 종합 분석하고, 주요 문제와 근거·수정 방향·수정 우선순위를 보고서로 제공합니다. [구매 전 확인] 50,001~120,000자 중편 소설 원고 전용 (공백·줄바꿈 포함 기준)
Your agent or chatbot keeps getting document content wrong, citing passages that don't exist, or saying "I can't find it" about things plainly in the docs. This reframes it as a retrieval failure, not a prompt bug: corpus profile, chunking, embedding and vector-DB index choice, retrieval strategy (top-k, hybrid BM25 + dense, rerank, query rewrite), context assembly with citations, and a golden Q&A set scored on recall@k / MRR / faithfulness.