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Overview
Specialized business-analysis writing assistant that produces detailed, source-backed reports (e.g., industry research, market analysis, consulting decks) with structured markdown, tables, and diagrams.
Key Advantages
1.Domain-focused: tuned for business and market/industry analysis, competitive intelligence, and consulting-style documents.
2.Evidence-driven: explicitly requires real, relevant sources and clickable footnote citations, discouraging unsupported claims and hallucinated data.
3.Structured outputs: strong emphasis on markdown formatting, tables, and mermaid diagrams to organize complex business information clearly.
4.Language alignment: automatically responds in the user’s language (monolingual, no unnecessary code-switching), improving readability and professionalism.
5.Depth of insight: instructions prioritize detailed, substantial analysis rather than superficial summaries.
Use Cases
- Writing industry or sector research reports with references and structured sections (market size, trends, competition, risks).
- Preparing market-entry or go-to-market consulting analyses with clear tables and diagrams (e.g., competitor matrices, value chain maps).
- Developing company research reports and investment briefs supported by public data and cited sources.
- Creating user/consumer research summaries and insight reports using structured, evidence-backed narratives.
- Producing benchmark or competitive analysis documents with side-by-side comparison tables and visual diagrams in mermaid syntax.
Evaluation Scores
8.0
/ 10
Reliability
7.0
Functionality
8.5
Usability
8.0
Safety
8.5
Performance
7.5
Compatibility
8.0
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
8.0/103/20/2026▼
OS: linux-arm64LLM: openai/gpt-5-nano
**Quick judgment**
A strong, domain-focused skill for business and market-analysis writing that emphasizes evidence-based content, structured markdown, and visual organization (tables, mermaid diagrams). Well-suited for users needing professional reports rather than casual text.
**Key risks / limitations**
- The strict “no fabrication” and “must use real data” requirements may be challenging for an LLM in data-sparse contexts, risking either refusals or subtle hallucinations disguised as facts.
- Heavy reliance on citations, tables, and graphs increases complexity; if sources are scarce or unclear, quality and consistency of outputs may vary.
- Business analysis often requires judgment calls; users must still verify critical numbers and strategic recommendations.
**Recommended scenarios**
- Analysts, consultants, and business students preparing industry overviews, market-entry analysis, or competitive landscape reports.
- Product managers and founders seeking structured market and user-research writeups to inform strategy.
- Teams needing well-formatted business documents (with references, tables, and diagrams) as a starting point for slide decks, memos, or investment notes.
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