AI SQL Bot
Turn natural language into complex SQL queries with schema-aware AI precision.

AutoSQL is a high-performance database automation utility designed to bridge the gap between relational data stores and modern automated workflows. In the 2026 enterprise landscape, AutoSQL has evolved into a critical 'Zero-ETL Lite' solution, enabling Lead AI Architects to bypass complex data pipelines by directly scheduling and exporting SQL query results into JSON, CSV, and Excel formats for AI model consumption and RAG (Retrieval-Augmented Generation) systems. The technical architecture focuses on a lightweight Windows-based execution engine that leverages OLEDB and ODBC drivers, ensuring compatibility with virtually any database including SQL Server, MySQL, PostgreSQL, Oracle, and MariaDB. Unlike cloud-heavy ETL tools, AutoSQL operates locally or on private clouds, maintaining strict data sovereignty while offering a robust Command Line Interface (CLI) for integration into Python-based AI agents and CI/CD pipelines. Its 2026 positioning emphasizes 'Data-to-Insight' speed, allowing organizations to automate recurring reporting and data synchronization tasks without manual intervention, supporting high-concurrency exports and dynamic variable substitution for personalized data extraction.
Allows developers to use system variables like {DATE}, {TIME}, and {ENVIRONMENT} within SQL queries and file paths.
Turn natural language into complex SQL queries with schema-aware AI precision.
Transform natural language into production-ready SQL queries in seconds with LLM-powered schema awareness.
Architect-level SQL generation from natural language across any database schema.
Transform natural language into powerful spreadsheet logic instantly with AI-driven database formulas.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A robust command-line interface that allows the software to be triggered by external applications like Python scripts or Jenkins.
Enables the execution of 'UPDATE' or 'INSERT' statements post-export to mark records as 'processed'.
Support for any database that provides an OLEDB or ODBC driver, covering 99% of enterprise database systems.
Built-in SMTP engine that attaches query results directly to emails with custom body templates.
Optimized engine for converting large SQL result sets into formatted JSON without crashing system memory.
Deep integration with Windows Task Scheduler for sub-second precision and failover logging.
Keeping a RAG-based AI agent updated with the latest CRM data without manual exports.
Registry Updated:2/7/2026
Finance teams needing daily Excel balance sheets at 8 AM.
Syncing an on-premise warehouse DB with a Shopify store.