Q001-S01 — Search Log¶


Research	R0049 — Landscape Scan
Run	2026-03-31
Query	Q001
Search	S01

Summary¶


Source/Database	Web (Google via WebSearch)
Query terms	"AI system prompt implementing full research methodology framework GRADE PRISMA systematic review 2024 2025"; "published LLM system prompt analytical rigor framework research methodology complete prompt text 2024 2025"
Filters	Date: 2024-2025
Results returned	20 (across two searches)
Results selected	3
Results rejected	17

Selected Results¶

Result	Title	URL	Rationale
S01-R01	PRISMA-trAIce Checklist	https://pmc.ncbi.nlm.nih.gov/articles/PMC12694947/	Directly addresses AI transparency in systematic reviews with a structured framework
S01-R02	L-PRISMA: Extension in the Era of GenAI	https://arxiv.org/html/2603.19236	Proposes integration of human-led synthesis with AI-assisted statistical pre-screening
S01-R03	AI-Powered Prompt Engineering for Research	https://www.preprints.org/frontend/manuscript/54d94166a55c5769d755bcf08fc72b49/download_pub	Preprint on prompt engineering frameworks for research tasks

Rejected Results¶

Result	Title	URL	Rationale
—	AI in Students' Mathematics Learning: PRISMA-Based Review	https://www.ijlter.org/index.php/ijlter/article/view/16042	Uses PRISMA as review method, does not implement it as AI prompt framework
—	PRISMA AI reporting guidelines for systematic reviews	https://www.researchgate.net/publication/367180953	Reporting guidelines, not a system prompt implementation
—	AI tools in evidence synthesis (KCL LibGuide)	https://libguides.kcl.ac.uk/systematicreview/ai	Tool catalog, not a prompt framework
—	PRISMA Systematic Review on AI-Enhanced VR	https://dl.acm.org/doi/10.1145/3757749.3757824	Subject-matter review using PRISMA, not about implementing PRISMA in AI
—	Evaluation of AI Tools vs PRISMA Method	https://ai.jmir.org/2025/1/e68592	Compares AI tools against PRISMA, does not implement PRISMA as prompt
—	Large Language Models for RE	https://arxiv.org/pdf/2509.11446	Requirements engineering focus, not research methodology
—	Prompt Engineering Framework for Mental Health	https://mental.jmir.org/2025/1/e75078/PDF	MIND-SAFE framework — mental health dialogues, not research methodology
—	Prompting LLMs for quality ecological statistics	https://ecoevorxiv.org/repository/object/9493/download/17692/	Statistical rigor guidelines, not a complete research methodology prompt
—	LLM Evaluation in 2025	https://www.techrxiv.org/users/927947/articles/1304989	Model evaluation metrics, not research methodology
—	Systematic Survey of Prompt Engineering	https://arxiv.org/abs/2402.07927	General survey, not a specific framework implementation
—	World Bank Guidance Note on AI	https://documents1.worldbank.org/curated/en/099136005132515321/pdf/	Policy guidance, not a prompt framework
—	K2-V2 Technical Report	https://www.llm360.ai/reports/K2_V2_report.pdf	Model architecture report, not research methodology
—	LLM to screen titles in living systematic review	https://pmc.ncbi.nlm.nih.gov/articles/PMC12306261/	Screening-only, narrow task
—	Enhancing Software Requirements Engineering	https://aclanthology.org/2025.acl-srw.31.pdf	Requirements engineering, not research methodology
—	LLMs for Structured and Semi-Structured Data	https://www.mdpi.com/2079-9292/14/15/3153	Data processing survey, not research methodology
—	A Systematic Survey of Prompt Engineering (duplicate concept)	—	Covered by other results
—	Remaining results from second search	—	Various LLM evaluation and prompt engineering papers not specific to research methodology frameworks

Notes¶

The academic literature contains extensive work on using AI within systematic review processes (screening, data extraction) but a notable absence of published system prompts implementing complete research methodology frameworks. The closest results are reporting checklists (PRISMA-trAIce) and methodology extensions (L-PRISMA) rather than executable prompt artifacts.