QueryMaster

Overview

QueryMaster is an AI-powered natural language database agent that transforms plain-English business questions into actionable insights from your Supabase database—without requiring SQL expertise. Designed for non-technical founders and product managers, this agent eliminates the need to manually write queries or wait for engineering support, delivering instant answers with full transparency and audit trails.

How It Works

1. List Tables (Supabase) — Retrieves the complete database schema, identifying all available tables and relationships to understand what data can be queried.
2. Describe Table Schema (Supabase) — Fetches detailed column definitions, data types, nullability, and primary keys for tables relevant to your question.
3. Translate to SQL (Claude Opus) — Converts your natural language question into a safe, parameterized SQL query using advanced code generation, ensuring no destructive operations are executed.
4. Execute Query (Supabase) — Runs the generated SQL query directly against your Supabase database with full access control and security.
5. Interpret Results (Claude Sonnet) — Analyzes raw query results and translates them into a clear, business-focused answer complete with trends and contextual insights.
6. Send to Slack (Slack Integration) — Posts the answer to your Slack DM with the executed SQL query visible for full transparency and accountability.
7. Log in Notion (Notion Database) — Records the question-answer pair in a searchable query history for future reference and pattern recognition.

Key Features

• Natural Language Queries — Ask database questions in plain English; no SQL knowledge required.
• Safe SQL Generation — AI-driven query creation with built-in safeguards preventing destructive commands (DELETE, DROP, etc.).
• Instant Results with Context — Get answers in seconds with business-relevant interpretation, not just raw data.
• Full Query Transparency — Every answer includes the executed SQL query, enabling learning and auditing.
• Persistent Query History — Automatic logging to Notion creates a reusable knowledge base of common questions and answers.

Use Cases

• Product Managers — "How many users activated in the last 7 days?" — Get instant activation metrics without pinging engineering.
• Founders — "What's our churn rate this month compared to last month?" — Track critical business KPIs in real time.
• Non-Technical Teams — "Which customers are at risk of churning based on usage trends?" — Surface insights from customer data for proactive retention efforts.
• Data-Driven Decision-Making — "Show me the top 10 features by adoption rate" — Enable data literacy across your organization without SQL barriers.