INTELLIGENCE
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How to Set Up Lindy AI for Data Workflows
Lindy AI is a no-code agent platform that lets you build automated data workflows using natural language. You describe what you need, connect your data sources through 5,000+ integrations, and Lindy's AI agents handle collection, processing, and reporting without any code. The free tier includes 400 credits per month, enough to test most data automation use cases before committing to a paid plan.
How to Set Up Deepnote for AI Data Analysis
Deepnote is a cloud-based data notebook that combines Python, SQL, and AI in one collaborative workspace. To set it up for AI data analysis, create a free account, start a new project, connect your data source, and use Deepnote Agent or Auto AI mode to generate code, run queries, and build visualizations from plain English prompts. The free plan includes basic AI features, while the Team plan unlocks unlimited AI assistance.
How to Set Up Airtable AI Field Agents
Airtable AI field agents are cell-level AI workers that automatically analyze, categorize, and generate data inside your existing tables. To set them up, add an AI field type to any table, choose a task (generate text, categorize, tag, or suggest links), write plain-English instructions referencing other fields, and select a model. Field agents run per record and cost credits, so disabling automatic triggers and choosing lighter models for simple tasks keeps costs predictable while still replacing hours of manual data cleanup and classification.
How to Set Up Quadratic for AI Data Analysis
Quadratic is a free, browser-based spreadsheet that lets you write Python, SQL, and JavaScript directly in cells alongside traditional formulas. Its built-in AI assistant generates and debugs code from plain English prompts, making it practical for analysts and operators who need more than formulas but do not want to manage notebooks or local environments. This guide walks through setup, data import, and running your first AI-assisted analysis.
How to Set Up GA4 Analytics Advisor
GA4 Analytics Advisor is Google's built-in AI chat feature that lets you ask questions about your website data in plain English instead of navigating complex reports. To use it, you need a properly configured GA4 property with active event tracking and sufficient data history. This guide walks through the full setup, shows effective query examples, and explains common pitfalls that lead to misleading answers.
How to Use Julius AI for Data Analysis
Julius AI lets you upload a CSV or Excel file and ask questions about your data in plain English. It returns charts, statistical summaries, and written insights without requiring any code. This guide walks through account setup, data upload, effective prompting strategies, and how to export results, so you can go from raw spreadsheet to finished analysis in minutes.
How to Set Up Grist for AI Data Cleaning
Grist is a free, open-source spreadsheet platform with a built-in AI assistant that generates Python formulas from plain English prompts. To set it up for data cleaning, create a free account at getgrist.com, import your messy dataset, open the AI assistant from the Tools menu, and describe what you need fixed. The assistant handles duplicate detection, date standardization, format corrections, and category normalization without requiring any code.
How to Set Up Sourcetable for AI Data Analysis
Sourcetable is an AI-native spreadsheet platform that connects to over 900 data sources and lets users run analysis, build models, and generate reports using plain English. To set it up, create a free account, connect a database or upload a file, and use the AI assistant to query your data. The platform supports files up to 10GB and handles datasets exceeding one million rows without browser slowdown.
How to Set Up Flourish for Data Visualization
Flourish is a free, browser-based platform that turns spreadsheet data into interactive charts, maps, and stories without writing code. You pick a template from over 50 options, paste or upload your data, map columns to visual variables, customize colors and labels, then publish with an embed code or shareable link. The entire process takes under ten minutes for a basic chart, and your data never leaves your browser during editing.