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Shipping LLM features that are accurate, fast and affordable.
AI can take real work off your team, but it's easy to spend months on a demo that never ships, or to get a bill nobody planned for. The questions that matter are simple: which tasks is it good at, what will it cost to run, and what happens when it gets something wrong.
These guides answer those questions in plain terms, including where AI isn't the right tool.
Claude Team and ChatGPT Business now cost the same per seat. What actually separates them for a 10 to 50 person company, where Copilot fits, and how to choose.
Sep 30, 2026 · 9 min read
10 practical Jev AI use cases for business: lead scoring, ticket triage, invoice review, safer AI agents and lower AI costs, plus pricing and limits.
Sep 27, 2026 · 12 min read
Cut LLM API costs with the levers that work in 2026: cost per feature, prompt caching, batch tiers, model routing with evals, and trimming hidden tokens.
Sep 25, 2026 · 7 min read
RAG, fine-tuning or long-context prompting? A 2026 decision guide: what each fixes, what changed as OpenAI winds down fine-tuning, and what to try first.
Sep 25, 2026 · 7 min read
MCP server vs API for engineering leads: what MCP adds, what the stateless 2026-07-28 spec changed, and when your existing REST API is enough.
Sep 25, 2026 · 7 min read