Avoiding AI Write‑SQL Pitfalls with Function‑Based Validation
Create four validation functions that wrap database writes, enforce business rules, use parameterized SQL, and wrap in transactions.
Create the four validation functions and test them locally before adding cloud permissions.
Summary
An AI agent can query a database, but letting it write SQL directly risks hallucinations and data corruption. The author spent three days designing a cloud‑centric architecture that was unnecessary for a local SQLite database. Instead, he implemented four lightweight Python functions—assign_bed, update_prediction, create_alert, and create_order—that wrap every write operation. Each function validates input against business rules, uses parameterized SQL to prevent injection, and executes within a transaction for atomicity. This approach handles 99% of security risks locally, defers cloud permissions and auditing until production, and keeps the MVP shipping fast. The lesson is that a “good enough” solution that ships quickly is often more valuable than a perfect but stalled design.
Key changes
- AI writes only via predefined functions, not raw SQL
- Four Python functions: assign_bed, update_prediction, create_alert, create_order
- Each function validates input against business rules (e.g., bed availability)
- Uses parameterized SQL to prevent injection
- Wraps operations in a transaction for atomicity
- Handles 99% of security risks locally without cloud infrastructure
- Cloud permissions and auditing are deferred until production
- Focuses on MVP shipping before adding complex architecture