适用对象
- 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 Agent 指南
General-purpose assistants blur paper metadata, methods, results, and interpretation; they may cite irrelevant work or answer beyond the supplied scientific evidence.
可从以下请求开始,再替换为你的具体内容。
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.
预期结果: 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.
预期结果: A metric-normalized evidence map, study-condition caveats, source-linked claims, and research gaps without pretending incomparable tests are equivalent.
在 Agent Studio 中选择 OpenAI、Claude 或 Z.AI,然后使用 Tetrees 积分或 BYOK 运行。
托管运行仅使用此签名工具集。本地 MCP 可添加由你单独配置和批准的工具。
Agent AVCP
测试的 TAIP 制品与本报告及平台签名绑定。分数反映测试证据,不保证未来每次模型输出。
总分
9.5
满分 10 分
必需门槛
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