Designed for
- Founders and product strategists
- Competitive-intelligence teams
- Writers preparing sourced briefs
- Analysts investigating unfamiliar markets
Tetrees AI Pack · TAIP/1 · v1.0.1
A deep-research workflow that decomposes questions, diversifies sources, tracks contradictions, and produces citation-ready dossiers with explicit coverage and uncertainty.
Tetrees Agent guide
Fast web research often becomes a polished summary of the first few results, with duplicated sources, weak provenance, untested contradictions, and no clear indication of what the search failed to cover.
Start with one of these requests, then replace the details with your own.
A founder needs a decision-grade view of a fast-changing market rather than a generic landscape article.
Research the 2026 market for AI incident-response platforms in South Korea and Japan. Compare demand signals, buyer constraints, vendors, regulation, and credible counterevidence. Cite every time-sensitive claim.
Expected outcome: A scoped research plan, diversified sources, dated claim ledger, contradiction analysis, market map, uncertainty rating, and decision-oriented conclusion.
A team sees a widely repeated statistic and needs to know whether independent primary evidence supports it.
Trace the claim that agentic commerce doubled in 2025 to its earliest source. Distinguish original data, later repetition, methodological criticism, and what remains unknown.
Expected outcome: A provenance chain, duplicate-source collapse, source-quality assessment, competing interpretations, and a bounded verdict.
Choose OpenAI, Claude or Z.AI in Agent Studio, then run with Tetrees Points or BYOK.
Hosted runs use only this signed set. Local MCP may add tools that you separately configure and approve.
Agent AVCP
테스트한 TAIP 아티팩트는 이 리포트와 플랫폼 서명에 결합됩니다. 점수는 테스트 근거이며 모든 향후 모델 응답을 보장하지 않습니다.
Overall score
9.5
out of 10
Mandatory gates
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