CFA comment drafting workflow — overview
End-to-end Federal Register ingestion, analysis, and CFA-style comment draft generation at a glance.
Purpose
The FederalRegister project supports an end-to-end pipeline around Federal Register content (including proposed rules and SORNs): ingest to PostgreSQL, enrich, run AI-assisted analysis, and generate CFA-style public comment drafts where applicable.
Core goals
- Regulatory tracking: Identify rules open for comment and closing dates.
- Legal and compliance analysis: Summaries and audits (e.g. SORN/PIA) stored as structured analysis records.
- Comment drafting: High-quality draft comments aligned with CFA voice and procedure.
- Automation: Scriptable steps with outputs under
output/and persisted results in the database.
Major components (conceptual)
| Area | Role |
|---|---|
| Ingest and sync | Federal Register API → documents, agencies, full text backfill |
| Open comment sync | Focus on documents with active comment windows |
| AI analysis | Summaries, audits, comment drafts via configured LLM providers |
| Reports | Markdown/JSON aggregates including open-comment and accountability exports |
Relationship to CFA
Downstream artifacts (JSON reports) are copied into the CFA frontend repository for static publication on federalaccountability.com. This Documentation.AI site documents how those artifacts are produced; it does not replace the FederalRegister database or runners.
Source
Condensed from FederalRegister/docs/cfa_comment_workflow.md. For file-level references (scripts, modules), use the FederalRegister repository directly.
© 2026 Center for Federal Accountability. Published from the cfa-reports repository.
Last updated 3 weeks ago
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