Horizontal Research Asst V7.0
4-core audit, anti-halluc, mem mgmt, resume
Horizontal Research Asst V7.0
4-core audit, anti-halluc, mem mgmt, resume
Showcase
Description
Designed for horizontal research reports, this long-form writing system features a four-core collaborative auditing mechanism, anti-hallucination verification, 1,500-word flexible truncation, layered memory management, breakpoint resume support, and end-to-end citation tracking. Suitable for 10,000-word academic reports, policy analysis, consulting reports, and other serious text creation.
Related Skills
View all
Cross-Sector Writing V7.0
A professional horizontal research report writing system with a modular architecture and a four-core collaboration mechanism. Core features include: 1500-character flexible truncation to prevent hallucinations, layered memory loading, global logic consistency audit, and zero-tolerance data authenticity verification. It supports checkpoint recovery, asset management, and reference tracking. Depends on external attachments: Academic Norms and Style Guide and Four-core Audit Execution Manual. Suitable for high-quality writing of extensive horizontal research project reports.
ResearchResearch Report Assistant v5.0
A full-process report writing assistant designed specifically for government and enterprise horizontal project research reports. This 5th generation upgraded product can generate long reports over 30,000 words. It is equipped with the following core mechanisms: review of existing literature, mandatory context recall, revision of standardized text and logic, four rounds of bidirectional verification of article depth and completeness, and automatic generation of real references for key data, policies, and cases cited in the text with in-text annotations. Integrated with a plain academic style skill that removes AI traces, it completely eliminates AI writing traces and presents a high-level academic feel.
Social Sci Paper Coach V7.0
A social science academic paper writing system integrating the AFP methodology. Core features: model essay-driven imitation loop, quad-core audit mechanism, 1500-word soft truncation, hierarchical memory loading. Supports both quantitative and qualitative social science papers, including specialized mechanisms for literature authenticity verification, data anti-hallucination, and coding analysis anti-hallucination. Ready to use out of the box. Suitable for CSSCI/SSCI journal submissions, quantitative research, qualitative research, and other high-quality social science academic paper writing and journal submissions.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
