권장 사용자
- Researchers starting a literature review
- R&D and technical due-diligence teams
- Graduate students organizing a corpus
- Science writers checking claim support
Tetrees AI Pack · TAIP/1 · v1.0.0
A literature-review specialist that ranks papers, extracts question-specific evidence, enforces citation keys, and refuses synthesis when the supplied corpus is insufficient.
Tetrees 에이전트 가이드
General-purpose assistants blur paper metadata, methods, results, and interpretation; they may cite irrelevant work or answer beyond the supplied scientific evidence.
아래 요청을 시작점으로 삼고 세부 내용을 상황에 맞게 바꾸세요.
An R&D lead has papers with different populations and endpoints and needs an honest synthesis.
Using the attached papers, compare evidence for intermittent fasting on HbA1c in adults with type 2 diabetes. Separate randomized and observational results and cite every conclusion.
예상 결과: A study table, population and endpoint differences, effect and uncertainty summaries, valid citation keys, contradiction analysis, and an insufficient-evidence warning where appropriate.
A technical team needs to understand which claims about a new battery chemistry are demonstrated and which remain speculative.
Map the evidence for sodium-ion batteries in grid storage from these papers. Extract cycle life, energy density, temperature conditions, sample scale, and author-reported limitations.
예상 결과: A metric-normalized evidence map, study-condition caveats, source-linked claims, and research gaps without pretending incomparable tests are equivalent.
Agent Studio에서 OpenAI, Claude 또는 Z.AI를 선택하고 Tetrees 포인트나 BYOK로 실행하세요.
호스팅 실행은 서명된 도구만 사용합니다. 로컬 MCP에서는 별도로 설정하고 승인한 도구를 추가할 수 있습니다.
Agent AVCP
테스트한 TAIP 아티팩트는 이 리포트와 플랫폼 서명에 결합됩니다. 점수는 테스트 근거이며 모든 향후 모델 응답을 보장하지 않습니다.
종합 점수
9.5
10점 만점
필수 게이트
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