Lingvist
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
The AI-powered spreadsheet assistant that turns weeks of data entry into seconds of automation.
Numerous AI is a high-performance spreadsheet orchestration layer that integrates Large Language Models (LLMs) directly into Google Sheets and Microsoft Excel. Designed as a bridge between unstructured data and structured business intelligence, it leverages models like GPT-4o and Claude 3.5 Sonnet to perform batch text processing, sentiment analysis, and programmatic content generation. In the 2026 market, Numerous AI has evolved beyond simple prompt execution to offer 'Self-Correcting Formulas' and 'Autonomous Data Cleaning' agents. Its technical architecture focuses on low-latency cell execution, allowing users to call complex AI functions like =AI(), =INFER(), and =WRITE() across thousands of rows simultaneously. By abstracting the complexity of API management and prompt engineering, it empowers operations teams to build sophisticated data pipelines without leaving their native spreadsheet environment. Its positioning is unique as a middle-ware solution that reduces the need for custom Python scripts in marketing, sales operations, and financial analysis workflows.
Uses few-shot learning logic to replicate a pattern based on a small set of user-provided examples without requiring a complex prompt.
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.
Post queries, share implementation strategies, and help other users.
A high-creativity function specifically optimized for generating long-form content, marketing copy, and SEO meta descriptions.
Analyzes #VALUE! or #REF! errors in complex nested formulas and suggests a corrected syntax using LLM logic.
The =AI() function can be passed a URL to fetch live webpage content and summarize it within a cell.
The =EXTRACT() function uses regex and LLM parsing to pull specific entities like phone numbers or names from messy text strings.
Enables users to toggle between OpenAI, Anthropic, and proprietary models per function call.
Low-latency translation module that preserves formatting and context while translating between 100+ languages.
A retailer has 5,000 SKUs with only technical specs and needs unique, brand-voiced descriptions for each.
Registry Updated:2/7/2026
Use =AI() to generate 150-character SEO meta tags for each description.
Manually reading 10,000+ support tickets to identify negative trends is impossible.
Raw lead data from web scrapers often contains mixed casing (JOHN DOE), missing titles, and messy LinkedIn URLs.