Lingvist
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Architect complex spreadsheet logic and SQL queries using context-aware generative AI.
Formula AI Master is a sophisticated LLM-orchestration layer specifically engineered for data analysts and spreadsheet power users. By 2026, the tool has evolved beyond simple text-to-formula conversion into a comprehensive logic-engine capable of interpreting complex business requirements and translating them into optimized Excel formulas, Google Sheets syntax, SQL queries, and Regex patterns. The technical architecture leverages a hybrid RAG (Retrieval-Augmented Generation) system that can ingest local metadata—such as column headers and data types—to ensure generated formulas are contextually accurate and require zero manual adjustment. Its market position is defined by its 'Refactor & Explain' module, which allows enterprise teams to audit legacy spreadsheets by decomposing nested IF/OR/VLOOKUP chains into readable logic flows. As a 2026-tier solution, it prioritizes security through local-first processing options and SOC2-compliant cloud sandboxes for script execution, effectively bridging the gap between non-technical business users and professional data engineers.
Analyzes the top 10 rows and headers of a spreadsheet to map variable names directly into generated formulas.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
Turn spreadsheets into intelligent data engines with native LLM orchestration and automated formula generation.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
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Decompiles nested formulas (e.g., 10+ levels of IF statements) into simplified, more efficient logical structures.
Converts spreadsheet logic directly into SQL queries tailored for specific engines like BigQuery, Snowflake, or MySQL.
Automatically generates VBA macros or Google Apps Script based on a requested formula's logic for batch execution.
Generates complex Regular Expressions and provides a real-time visualization of the match groups.
Identifies #VALUE!, #REF!, and #N/A errors and suggests precise technical fixes based on the data context.
Creates internal documentation for complex workbooks by scanning the entire sheet logic.
Sales managers struggling with complex, nested IF statements for varying commission percentages based on targets.
Registry Updated:2/7/2026
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Data team needs to recreate complex workbook logic in a new Snowflake warehouse.
Phone numbers and emails are inconsistently formatted in a lead list.