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Prompt AI to generate SQL from plain English business questions
Validate outputs with 6 automated accuracy checks before you trust them
Communicate findings as executive summaries, Slack messages, and slide bullets
Your data never leaves your browser — queries run locally against your own database, nothing is stored or transmitted
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PVC Practitioner · By Walter Shields

AI writes the SQL.
You verify it's right.

Data analysts using AI generate queries fast — but fast and wrong is worse than slow. PVC Practitioner gives you a structured workflow to prompt AI, validate its output against your actual data, and communicate findings your stakeholders can trust.

How it works — three steps, start to finish
01
Prompt
Describe your business question in plain English. "Which product categories had the highest return rates last quarter?" The AI generates the SQL for you.
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02
Validate
Run the query against your real database. Six automated checks audit the results — null counts, row logic, join integrity, filter confirmation. You see exactly what the AI got right and what needs fixing.
→
03
Communicate
Turn validated results into stakeholder-ready output. Choose from executive summary, Slack message, email, or slide bullets — generated in seconds, grounded in real data.
To get started, connect your SQLite database
🗄️
Drop your .db or .sqlite file here
Or click to browse · Runs entirely in your browser · Your data never leaves your device
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⚡ No setup required
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🎓 By Walter Shields · 480K+ LinkedIn Learning students
Database schema
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P
Prompt
Frame the business question
V
Validate
Review, run, and verify
SQL will appear here after you generate it above.
C
Communicate
Generate stakeholder output
Communication output will appear here after validation is complete.
Validation report
Waiting for query results
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Unlock unlimited sessions, connect any SQLite database, and produce validation reports and stakeholder communications every day.

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