AI & Machine Learning 1d ago · 19 min read

Ontology-Driven NL-to-SQL Architecture: BigQuery, Gemini, Looker, and Semantic Guardrails

Google's BigQuery + Gemini text-to-SQL guidance exposes the core problem every team hits: LLMs generate syntactically valid SQL that is semantically wrong. The fix is not a bigger prompt — it is a governed semantic layer that maps business language to schema, metrics, joins, filters, and entitlements.

AI & Machine Learning 1w ago · 16 min read

GitHub Copilot's Metered Billing Starts June 1: Every Policy Change Decoded for Individual Developers

GitHub is replacing Copilot's premium-request system with token-based AI Credits on June 1, 2026 — and for individual developers on personal accounts, the shift brings tighter limits, model restrictions, a new Max plan, and a flex allotment that GitHub can quietly shrink. Here's exactly what changes, what it costs, and what to do before the meter starts running.

AI & Machine Learning 1w ago · 14 min read

Google's Agent Stack Is Production-Ready. The Ephemeral Execution Model Underneath It Wasn't Built for Finance — and Most Teams Won't Find Out Until the Audit.

Google I/O 2026 shipped a complete agent stack — Gemini 3.5 Flash, Managed Agents API, Antigravity 2.0, and Agent Identity. The ephemeral-by-default execution architecture is elegant engineering and a potential compliance trap for any regulated industry running AI at decision-level stakes.

AI & Machine Learning 1w ago · 14 min read

OpenAI's Guaranteed Capacity Turns Your LLM Stack Into a Three-Year Bet — Here's the Architecture Your Team Needs to Win It

OpenAI's new Guaranteed Capacity offering looks like a cloud pricing deal. It's actually a multi-year architectural commitment that changes how teams design for reliability, route across models, and govern production AI — and most enterprise teams aren't modeling the risks before they sign.

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