TokSpan Blog

AI translation with LLM APIs — provider benchmarks across language pairs plus a production pipeline: glossary, chunking, enforcement, and LLM-as-judge QA.

A neutral build-vs-buy guide to production voice AI: STT→LLM→TTS architecture, end-to-end latency budgets, cost per minute, and a compliance checklist.

We compared AI coding agents — Claude Code, Cursor, and GitHub Copilot — on the same tasks. Compare 2026 pricing, token math, model access, and team fit.

A complete DeepSeek API tutorial: first call, reasoning mode and thinking tokens, cache-hit and off-peak pricing, JSON mode quirks — and production basics.

Compare fast inference APIs in 2026: Groq, Cerebras, Together, Fireworks on the same models — tokens/sec, latency, price, hard limits, and workload routing.

The Gemini API tutorial: first call in Python and Node.js, thinking budgets, context caching, grounding, structured output — and a production checklist.

Native grounding vs search APIs vs self-hosted crawlers for AI agents: accuracy, latency, and cost per 1,000 queries, plus citation and grounding-check code.

A decision-first playbook: which AI features to ship first, what they cost per user, and how to architect, price, and launch without rebuilding your SaaS.

LLM hallucination prevention, governed: benchmarks across model families, a detection–prevention–mitigation framework, and a production monitoring budget.

LangChain production guide, without the hype: three signals that justify a framework, when to stay on raw SDK, and multi-provider patterns that avoid lock-in.

Choosing an AI agent framework? We built the same production agent in LangGraph, CrewAI, and the OpenAI Agents SDK — architecture, cost, and lock-in compared.