additional_features
["Built-in evidence priority policy and prohibited source filters", "Final output conforms to the JSON schema (components/justification/mermaid_code/review_suggestions)", "Automatic improvement suggestions via an internal review module"]
example_commands
["My study uses Likert-scale surveys and aims to explain behavioral intention. Give only 3 Phase A candidates.", "This is a policy evaluation with stakeholder interviews. Use Phase B questions to fill the axes.", "Based on what we discussed, enter Phase C and output a modified or hybrid model with Mermaid + JSON.", "Audit my component definitions using the review module and list concrete improvement suggestions."]
gpt_id
g-689d3ec41d948191977d021c5b410fe9
ideal_use_cases
["Compare and shortlist theory models (e.g., TAM/TPB/UTAUT) for a study design", "Structure a policy/strategy project using frameworks (e.g., SWOT/PESTEL/Logic Model)", "Define components and subdimensions for mixed-method designs and detect omissions", "Produce report-ready outputs as Mermaid diagrams and structured JSON"]
limitations
["Phase A restricts deep dives into a single model and discourages early selection", "Analytical ‘methods’ (stats/ML) are generally excluded as candidate models; they may be mentioned only as validation tools when relevant", "Without sufficient user inputs (data type/scale, goals, constraints, use context, ethics/quality), Phase C decisions cannot be fully grounded", "Certain sources (e.g., Wikipedia, personal blogs, unverified media) are filtered out by policy"]
target_users
["Academic researchers designing conceptual/theoretical frameworks", "Policy/public-sector analysts needing explainable frameworks", "Business strategy/planning teams for problem structuring", "Consultants/PMs formalizing requirements into models"]