What Breaks First When Text-to-SQL Moves from Demo to Production?
13 min read
A practical look at semantic ambiguity, authorization, validation, observability, and the operational risks hidden behind a convincing conversational interface.
All categories
Category
AI Engineering
Production AI, agentic systems, enterprise data, evaluation, governance, and reliability.
Posts in AI Engineering
Stack Overflow and AI - Evolving Together for the Future of the Tech Community
9 min readUnderstanding the Symbiosis of Community-Driven Platforms and Artificial Intelligence in Shaping the Next Generation of Problem-Solving and Innovation
Observability for Agentic Systems: Tracing Decisions, Tools, Data and Failure
9 min readA practical approach to observing agentic AI workflows across model decisions, tool calls, data access, policy, retries, latency, cost, and human escalation.
Evaluating Enterprise AI Systems: From Model Accuracy to Operational Trust
8 min readA practical framework for evaluating enterprise AI across task quality, grounding, policy, reliability, cost, user outcomes, and failure behavior.