From Prompt to Production, In Seconds
QuantumLayers already makes data ingestion, merging, visualization, and AI interpretation effortless. QL-Agent takes it one step further: describe what you want in plain English, and the agent orchestrates every step automatically – connecting sources, writing queries, building charts, generating insights, and scheduling reports on your behalf.
Everything You Can Do Manually, Automated Through Conversation
QL-Agent has access to every core function in QuantumLayers. It doesn’t just answer questions about your data, it takes action on your behalf.
Connect Any Data Source
Tell QL-Agent to connect a MySQL database, a REST API, an SFTP server, a Google Sheet, or a CSV from a URL. It handles the configuration, tests the connection, and creates the dataset, all from a single sentence.
Generate SQL Queries From Plain English
Describe the data you need – “get all completed orders from the last 6 months grouped by region” – and QL-Agent connects to your database, reads the schema, writes the SQL, and creates the dataset automatically.
Merge Datasets Across Sources
Ask QL-Agent to combine your CRM export with your order database. It identifies the join columns, selects the right join type, and produces a unified dataset, no schema alignment required from you.
Build & Save Visualizations
Say “show me a scatter plot of revenue vs. acquisition cost” and QL-Agent analyzes the dataset, recommends the best chart types, generates the visualization, and saves it to your dashboard, ready to embed in reports.
Generate AI Insights & Statistical Analysis
Ask “what patterns exist in my sales data?” and QL-Agent runs correlation analysis, ANOVA tests, trend detection, and outlier identification, then translates the statistical findings into plain-language business recommendations.
Schedule Automated Reports
Tell QL-Agent “send me a weekly report every Monday with insights and charts from my sales dataset”, and it creates the report, assigns the frequency, attaches your saved charts and AI analysis, and delivers it by email in HTML or PDF.
–
How QL-Agent Works
QL-Agent is a conversational AI assistant powered by advanced language models. It has direct access to every QuantumLayers function: dataset creation, data merging, visualization, statistical analysis, AI insights, and report scheduling — and orchestrates them autonomously based on what you ask for.
1. Describe Your Goal
Type a request in natural language. QL-Agent understands complex, multi-step instructions, from “connect my PostgreSQL database and show me monthly revenue trends” to “create a weekly report for my three latest datasets.”
2. QL-Agent Executes
The agent breaks your request into individual actions – connecting data sources, writing queries, generating charts, running statistical tests – and executes each one in sequence. If it needs additional information, it asks before proceeding.
3. Review Your Results
QL-Agent summarizes what it did and delivers the results – new datasets appear in your dashboard, charts are saved and ready to use, insights are generated, and reports are scheduled. Everything is accessible from your existing QuantumLayers workspace.
–
Example Prompts
QL-Agent handles everything from simple one-step tasks to complex multi-step workflows. Here are a few examples of what you can ask:
| What you say | What QL-Agent does |
|---|---|
| “Connect to my PostgreSQL database at db.mycompany.com and pull all orders from the last 12 months.” | Extracts the database schema, generates the SQL query, creates the dataset, and triggers processing. |
| “What are the key trends in my Sales Q4 dataset?” | Runs statistical summary, correlation matrix, ANOVA analysis, and generates AI-powered business insights. |
| “Create a bar chart comparing revenue by product category and save it.” | Analyzes the dataset columns, builds the chart with the right parameters, and saves it to your dashboard. |
| “Merge my Customer List and Order History datasets on customer_id.” | Identifies the join column, performs a left join, and creates a new unified dataset. |
| “Set up a weekly report every Monday at 9 AM with insights and charts from my three sales datasets, and send it to team@mycompany.com.” | Creates a scheduled report, assigns the frequency and timezone, attaches the datasets and saved charts, and configures email delivery. |
| “Import this CSV from https://data.example.com/export.csv and show me the best visualizations for it.” | Downloads the file, creates the dataset, runs chart recommendations, and generates the top visualizations. |
–
Manual Workflow vs. QL-Agent
QuantumLayers removes the infrastructure complexity. QL-Agent removes the interface friction, too.
| Task | With QuantumLayers UI | With QL-Agent |
|---|---|---|
| Connect a SQL database | Fill in host, port, credentials, write SQL query | QL-Agent writes the query for you |
| Merge two datasets | Select datasets, choose join column and type | QL-Agent identifies the best join |
| Build visualizations | Open Analyze, select chart type, configure axes | QL-Agent recommends and builds charts |
| Generate insights | Click Insights, wait for analysis | QL-Agent runs full statistical analysis |
| Schedule a report | Click Report, configure name, frequency, datasets | QL-Agent sets everything up |
| Full end-to-end workflow | 5–10 minutes across multiple screens | QL-Agent handles every step |
–
Frequently Asked Questions
What is QL-Agent?
QL-Agent is an AI-powered conversational assistant built into QuantumLayers. It lets you automate the entire analytics workflow — from dataset creation and SQL query generation to visualization, statistical analysis, AI insights, and report scheduling — through natural language prompts instead of manual configuration.
Do I need technical skills to use QL-Agent?
No. QL-Agent works through plain English — so whether you’re a data scientist who wants to move faster, or a business lead who just needs answers, the interface gets out of your way.
What data sources can QL-Agent connect to?
QL-Agent can connect to all sources supported by QuantumLayers: MySQL, PostgreSQL, and SQL Server databases, REST APIs with JSON responses, SFTP servers, Google Sheets, and CSV files from public URLs.
Can QL-Agent write SQL queries for me?
Yes. Tell QL-Agent what data you need in plain English, and it connects to your database, reads the schema automatically, generates the appropriate SQL query, and creates the dataset, without you writing a single line of SQL.
Is QL-Agent included in the free plan?
QL-Agent is available on all plans with a monthly AI token budget. Free tier users can try QL-Agent with limited usage. Pro subscribers get a significantly higher token budget for heavier agent workflows.
–