Explore the latest in AI automation, workflow optimization, and technology insights to transform your business.
A practical guide to TypeSafe Jev where every request was run against the live API. Setup, the three question types, eight recipes with curl, Python and JavaScript, decision-policy tables, cost math, error handling, a production checklist and when not to use it.
The best Jev videos and tutorials from launch week, ranked by views and embedded so you can watch here. What each one covers, which to watch first for your goal, and what the videos leave out.
Jev costs $0.042 per million input tokens with free output. Measured cost per 1,000 decisions against GPT, Claude and Gemini, where it is free until September 25, and how to estimate your own bill.
An independent test of TypeSafe Jev against GPT-5.4 nano, Gemini 3.5 Flash-Lite, Claude Haiku 4.5 and GPT-5.6 Terra on intent routing and prompt-injection detection. Jev was faster and far cheaper, level with the small models on accuracy, and its confidence score made a cheap cascade work. Code and raw results included.
Google is testing payments to websites whose content significantly shapes answers in Gemini, AI Overviews and AI Mode, with earnings shown in Search Console. Here is what the pilot is, what is confirmed, and what our own Generative AI report shows.
"Web development agency" covers a founder who needs a five-page marketing site and an enterprise team that needs a custom web application, and Google serves both the same results. This guide compares 6 real agencies on verified reviews, pricing, and what each is actually built for, including AY Automate, ranked by the same rubric as everyone else.
GraphRAG retrieves from a knowledge graph instead of just ranking text chunks by similarity, which makes it better at multi-hop and relationship questions and worse at cost and maintenance. Here's what it actually is, how the extraction-to-traversal pipeline works, and when the graph is worth the overhead.
A multi-agent system is more than one AI agent coordinating to finish a task, not one agent with a longer tool list. Here's the honest version: the real coordination patterns, when splitting into multiple agents actually helps, and when it's just complexity for its own sake.
Most n8n tutorials show you buttons. This one shows you the actual node sequence behind 7 workflows teams run every day, lead capture, invoice reminders, RSS-to-social, database sync, order alerts, reporting, and error monitoring, so you can rebuild any of them in an afternoon.