Associates of the Department of Government Efficiency (DOGE) operating within the Department of Housing and Urban Development (HUD) unveiled “SweetREX,” an AI-driven platform designed to automate and accelerate the elimination of federal regulations, during a high-level video briefing hosted by the Office of Management and Budget (OMB) on Wednesday. The tool, officially designated as the SweetREX Deregulation AI Plan Builder (SweetREX DAIP), serves as the technological spearhead for President Donald Trump’s “Unleashing Prosperity Through Deregulation” executive order, targeting a massive reduction in federal oversight.
Automating the ‘Unleashing Prosperity’ Mandate
The rollout of SweetREX aligns with the aggressive deregulation goals outlined in Project 2025, a strategic roadmap for the current administration. Internal DOGE documents recently obtained by the press suggest that the department aims to eliminate upwards of 50 percent of all federal regulations. SweetREX functions by scanning regulatory codes to identify sections not explicitly mandated by statute, thereby streamlining the process for agencies to adopt updated, leaner frameworks.
The briefing included representatives from a broad spectrum of federal entities, including the Environmental Protection Agency (EPA), the Department of State, and the Federal Deposit Insurance Corporation (FDIC). While currently incubated at HUD, the administration plans to deploy SweetREX across all major U.S. agencies to standardize the dismantling of “unnecessary regulatory burdens.”
Gemini-Powered Governance: The Tech Behind SweetREX
Christopher Sweet, a DOGE affiliate and the primary architect of the tool, co-led the presentation. Sweet, who was recently a student at the University of Chicago and served as a “special assistant” at HUD, confirmed that the platform leverages advanced Large Language Models (LLMs). Specifically, SweetREX primarily utilizes the Google Gemini family of models, though Sweet noted that tools from Anthropic and OpenAI would also be integrated into the federal workflow to maximize productivity gains.
Neither the OMB nor Google have issued formal comments regarding the partnership. HUD’s press office stated the matter is “under review,” following previous reports indicating that SweetREX had already been used at HUD to calculate the percentage of “noncompliant” words in existing regulations—though the metrics for those calculations remain shielded from public view.
From Months to Hours: How SweetREX Dismantles Bureaucracy
Scott Langmack, a DOGE-affiliated senior adviser at HUD and COO of the proptech firm Kukun, emphasized the tool’s efficiency during the demo. Langmack claimed that SweetREX compresses the timeline for reviewing and proposing regulatory edits from several months down to mere hours or days.
The platform features a “decision tool” that flags extraneous clauses for review by government attorneys and policymakers. Once flagged, the AI generates a draft of the altered regulation. Beyond internal editing, SweetREX introduces a sophisticated mechanism for handling public feedback:
- Comment Bucketing: The AI categorizes public responses into thematic “buckets” during the Advance Notice of Proposed Rulemaking phase.
- Entity Categorization: The tool distinguishes between individual citizens and “sophisticated” corporate commenters to prioritize or filter feedback.
Private Sector Influence and the DOGE Connection
The Wednesday call also featured an appearance by Steve Davis, a prominent lieutenant of Elon Musk and president of The Boring Company. Davis, who previously served as a special government employee for DOGE, inquired about the possibility of making the SweetREX software open-source via GitHub. His continued involvement in DOGE operations, despite returning to the private sector, has reportedly raised concerns among some government staffers regarding the boundaries between private interests and federal policy execution.
While some federal employees have described the process of manually verifying AI-flagged regulations as “painful,” other participants in the briefing praised the tool’s potential to revolutionize legislative cleanup. As SweetREX moves toward a wider rollout, it represents a fundamental shift toward algorithmic governance in the pursuit of a radically reduced federal footprint.
