Grid AI, powered by lean.dev, is an innovative tool designed to streamline analysis and query processing across any collection of texts or documents. Whether you're an educator grading assignments, a researcher sifting through reports, a business analyst reviewing customer feedback, or anyone handling multiple data sources, Grid AI transforms how you extract information by leveraging AI in a simple, grid-based interface.
At its core, Grid AI operates like a smart spreadsheet for AI-driven queries:
Start by adding your content into rows. You can paste text directly or drag-and-drop documents (such as PDFs, essays, reports, or any text-based files). Each row represents a single item—think one student essay, one customer review, or one research abstract per row.
Assign custom queries or questions to the column headers. These act as AI prompts that will be run against every row. Queries can be simple yes/no checks, summaries, or more complex analyses with custom rating scales.
Once set up, Grid AI processes the grid instantly. For each row, it evaluates every column's query against that row's content, populating the cells with AI-generated responses. The result is a filled grid where you can easily compare insights across all your documents in one view.
This grid format allows for batch processing, saving you from manually querying each document one by one. The AI handles the heavy lifting, ensuring consistent, objective results while you focus on interpretation.
Handle dozens or hundreds of documents simultaneously, cutting down analysis time from hours to minutes.
Tailor queries to your needs—no coding required. Use it for fact-checking, sentiment analysis, theme extraction, or personalized feedback.
The grid output makes patterns obvious, like spotting common trends or outliers across your dataset.
Beyond education (checking if student essays cover specific topics), it's ideal for market research, legal reviews, content moderation, and more.
Grid AI empowers users to ask targeted questions and get precise answers, turning raw data into organized knowledge.
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