How to build a Policy Memo AI Analyst
This agent researches and writes a comprehensive policy brief on any topic.
Challenge
Policy analysts struggle to efficiently gather, synthesize, and keep up with the latest, most relevant information from diverse sources—web, internal documents, and reports—making it difficult to produce timely, comprehensive, and evidence-based policy briefs.
Industry
Government
Department
Content Creation
Integrations
OpenAI
Knowledge Base
TL;DR
This agent automates the creation of a comprehensive policy brief on any topic (e.g., "AI governance") by gathering the latest web data, searching internal knowledge bases, analyzing uploaded reports, and synthesizing expert-level sections (background, stakeholders, impact, summary) into a formatted output.
What it does
- Automates policy brief generation: Produces a multi-section policy analysis (background, stakeholder landscape, impact, executive summary) on any user-specified topic. 
- Aggregates diverse sources: Combines real-time web search, internal knowledge base documents, and user-uploaded reports/statistics. 
- Synthesizes expert analysis: Uses advanced LLMs to draft each section, referencing all available evidence and data. 
- Delivers a ready-to-use, formatted brief: Outputs a structured, citation-ready document. 
Who it’s for
- Policy analysts and researchers 
- Government or public sector teams 
- Think tanks and NGOs 
- Anyone needing rapid, evidence-based policy analysis 
Time to value
- Immediate: Enter your policy topic and upload any relevant documents—get a full, formatted policy brief in minutes. 
Output
- A structured policy brief with the following sections: - Executive Summary (with SWOT or recommendations) 
- Policy Background 
- Stakeholder & International Landscape 
- Economic & Social Impact 
 
- Citations and sources for all claims, drawing from web, internal docs, and uploaded files. 
Common Pain Points for Policy Analysis
- Time-consuming manual research and synthesis 
- Difficulty keeping up with the latest global developments 
- Siloed or inaccessible internal knowledge 
- Inconsistent formatting and structure 
- Lack of clear, evidence-based recommendations 
What This Agent Delivers
- Rapid, automated synthesis of the latest and most relevant information 
- Integration of internal, external, and user-uploaded data 
- Consistent, professional formatting and structure 
- Transparent sourcing and citations 
- Actionable insights and recommendations 
Step-by-Step Build (StackAI Nodes)
Below is a breakdown of each node, what it does, and its goal in the workflow:
1) Input Node (in-0 – Policy Topic)
What it does:
- Lets the user specify the policy question or topic (e.g., "AI governance"). 
Goal:
- Define the focus for all downstream research and analysis. 
2) Web Search Node (action-1 – Web Search)
What it does:
- Searches the web for the latest news, reports, and global context using Exa AI. 
Goal:
- Bring in up-to-date, external information relevant to the policy topic. 
3) Knowledge Base Node (knowledgebase-0 – Knowledge Base)
What it does:
- Searches internal government documents, previous policy briefs, and research for relevant content. 
Goal:
- Surface authoritative, organization-specific insights and precedents. 
4) Files Node (doc-0 – Reports and Statistics)
What it does:
- Allows users to upload reports, statistics, or white papers. 
- Extracts and processes text (including OCR for scanned documents). 
Goal:
- Incorporate user-supplied evidence and data into the analysis. 
5) LLM Nodes (Drafting Each Section)
a) Policy Background (llm-4)
What it does:
- Summarizes the background and context of the policy issue using all gathered data. 
Goal:
- Provide a concise, evidence-based overview of the issue. 
Instructions
Prompt
b) Stakeholder and International Landscape (llm-5)
What it does:
- Identifies key stakeholders and compares international approaches. 
Goal:
- Map the policy landscape and highlight global best practices. 
Instructions
Prompt
c) Economic and Social Impact (llm-6)
What it does:
- Assesses the economic, social, and environmental impacts of policy options. 
Goal:
- Analyze potential outcomes and trade-offs. 
Instructions
Prompt
d) Executive Summary (llm-7)
What it does:
- Synthesizes all previous sections into a summary, including a SWOT analysis or key recommendations. 
Goal:
- Deliver actionable insights and a high-level overview for decision-makers. 
Instructions
Prompt
6) Output Node (out-0 – Policy Analysis)
What it does:
- Formats and presents the final policy brief, combining all sections into a single, structured document. 
Goal:
- Provide a ready-to-use, professional policy brief for download, sharing, or further editing. 





