Per-task cost on agentic workflows is dominated by failure cases, not the happy path. Here's how to size retry budgets, human review, and unit economics before you ship.
The single most expensive AI mistake is picking the pattern first and the problem second. Here's how to choose between RAG, GraphRAG, fine-tuning, agentic, and hybrid β by task, not by brand.
The advertised context window is not the usable context window. Here's the math that decides whether your agent works in production β and the calculator that does it for you.
The same models that score 86% on Spider 1.0 score 10-17% on real enterprise schemas. NL-to-SQL is an architecture problem, not a model problem β here's how to scope yours.