Obviously AI Cheat Sheet
Last updated: April 2026
Quick Facts
Pricing
Freemium, with paid plans starting at $79/month for the Starter plan.
Free Plan
Yes, includes 1 model, 1,000 predictions/month, and core data prep features.
Rating
4.3/5
Best For
Business analysts and operations teams who need to build and deploy predictive models directly from their spreadsheets without writing code.
Key Features
- ✓One-Click Predictions
I tested this with a CSV of customer data. You literally select your target column, click 'Predict', and it builds a model in minutes. It's the core of their no-code promise.
- ✓Automated Data Preparation
In my experience, this is a lifesaver. It automatically handles missing values, encodes categorical variables, and engineers features like date parts, saving hours of manual cleaning.
- ✓Google Sheets Integration
This is where Obviously AI shines for business users. You can connect a Sheet, build a model, and output predictions back into a new column, all without leaving your browser.
- ✓Real-Time Model Monitoring
Once deployed, you get a dashboard tracking model accuracy drift over time. I found it crucial for trusting a model's ongoing performance in production.
- ✓Explainable AI (XAI)
Every prediction comes with a 'Why' button. Clicking it shows you the top factors driving that specific outcome, which builds immense trust with stakeholders.
- ✓Batch & Single Predictions
You can score an entire new dataset in one go or set up an API endpoint for real-time, single predictions—like checking if one new lead is likely to convert.
- ✓Pre-Built Templates
For common use cases like customer churn, sales forecasting, or lead scoring. I used the churn template as a starting point and it guided my data structure perfectly.
- ✓Automated Algorithm Selection
What surprised me was how well it works. It tests multiple algorithms (XGBoost, Random Forest, etc.) and picks the best one, often outperforming my manual attempts in other tools.
- ✓Collaboration & Sharing
You can share model dashboards and prediction interfaces with team members who have zero data science background, making results truly accessible.
- ✓Model Deployment API
Deploying a model generates a unique API endpoint. I integrated it into a simple web app in an afternoon, which is powerful for its price point.
- ✓Data Connectors
Beyond Sheets, it connects to Salesforce, PostgreSQL, MySQL, and S3. The Salesforce connector is a major draw for sales and marketing teams.
- ✓Performance Metrics & Charts
After training, you get clear metrics (AUC, Accuracy, F1) and insightful charts like ROC curves and feature importance plots, presented in plain business language.
Tips & Tricks
Start with their pre-built templates. They perfectly structure your data and problem, saving you from initial configuration headaches.
Use the automated data prep report to understand what the tool changed in your dataset—it's a great learning tool for data hygiene.
For time-series forecasts, ensure your date column is clean and in a proper datetime format before uploading for best results.
Leverage the 'Why' explanation for every major prediction to build stakeholder buy-in and catch potential data issues.
Connect directly from Google Sheets for iterative modeling; it's faster than constantly uploading/downloading CSV files.
Limitations
- -It's primarily for tabular, spreadsheet-like data. Don't expect to build computer vision or NLP models for unstructured text.
- -Advanced users will hit a ceiling; you can't manually tweak hyperparameters or implement custom algorithms.
- -The free tier is quite limited, making serious evaluation difficult before committing to a paid plan.
- -Complex data pipelines with multiple joined tables are not its strength; it works best with a single, wide table.