Self-Improving Tax Agents Built with Codex

In a groundbreaking demonstration of AI's potential in enterprise operations, OpenAI, Thrive, and Crete have collaborated to build a self-improving tax agent using Codex. This AI-powered system automates the complex process of tax filings, continuously learning from its own performance to improve accuracy and efficiency over time. The tax agent leverages Codex's ability to understand and generate code, allowing it to parse tax regulations, calculate liabilities, and prepare filings with minimal human intervention. What makes this agent truly innovative is its self-improving capability. As it processes more returns and receives feedback from human reviewers, it adjusts its algorithms to reduce errors and adapt to changing tax laws. Early results are promising. The agent has demonstrated significant improvements in filing accuracy while accelerating workflows that traditionally required days of manual effort. For enterprises dealing with high volumes of tax documents, this translates into cost savings, reduced compliance risk, and faster turnaround times. This project showcases a broader trend: AI agents are moving beyond simple automation to become autonomous partners in complex, knowledge-intensive tasks. Tax preparation, with its intricate rules and frequent updates, is an ideal use case. The success of this collaboration suggests that similar agents could soon handle auditing, regulatory compliance, and financial reporting. As self-improving agents become more common, enterprises will need to rethink their workflows. The tax agent built by OpenAI, Thrive, and Crete is not just a tool—it is a glimpse into a future where AI systems continuously evolve to handle the most demanding business processes.