Batch APIs, prompt caching, and off-peak scheduling can cut enterprise AI costs 40-70%. The math behind when and how you call your models.
Sequoia partner Julien Bek argues services are the new software: for every $1 spent on software, $6 goes to services. Why Latin America has the edge in the shift.
Google at $0.25/M tokens, OpenAI at $0.05/M. Not charity — it's platform capture applied to AI. What the pricing war means for your B2B independence.
Anthropic pays $570K median for engineers building tools that replace junior devs. Stanford/ADP data shows 20% fewer entry-level roles since 2022.
That viral startup stack works — until your first enterprise deal requires SOC 2 compliance. Here's where free tools hit walls and what to do before they do.
Vertex AI, Gemini, BigQuery ML, Document AI: practical guide to evaluating which Google AI tools fit your B2B operation and which ones you can skip.
AI assistants are characters shaped during training. Anthropic explains why this changes how you should configure and govern AI in your company.
Frontier AI models dropped from $15 to $3 per million tokens. With million-token context windows, projects that didn't pencil out a year ago are now viable.
12 critical questions to ask before choosing an AI vendor. Covers trust evaluation, data governance, and privacy protection for B2B decisions.
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