44 articles matching your search.
A hands-on comparison of the four small language models I tested in production builds during 2026 — benchmarks, memory footprints, licensing traps, and what broke on real phones.
A hands-on comparison of the three AI agent authentication platforms I evaluated for our own stack — plus where WorkOS and Merge fit, and which to pick for each scenario.
A hands-on comparison of GPTCache, Redis LangCache, Upstash, and Canopy for semantic caching, with real hit rates, costs, and threshold-tuning lessons from production.
After 90 days running production traffic on ServiceBot AI Helpdesk, here is my hands-on comparison of four STT APIs — Whisper, Deepgram Nova-3, AssemblyAI Universal-2, and Speechmatics Ursa 3 — with WER benchmarks on real Indonesian-English call audio, latency measurements at p95, and the hidden add-on stack that destroys budgets.
I shipped LLM batch APIs across three production AI products in 2026 and saved $2,800/month. Here is the head-to-head on OpenAI, Anthropic, and Vertex AI batch — discount math, real turnaround times, and when batch is the wrong answer.
A production-tested comparison of vLLM, SGLang, TensorRT-LLM, and Ollama for self-hosted LLM serving in 2026 — throughput, cold-start, cost math, and decision matrix from running a 4-product AI backend on a shared H100.
After 18 months running AI search APIs across seven production aggregator sites, here is when to pick Tavily, Exa, Perplexity Sonar, or Linkup.
Last quarter, our Anthropic console showed $612 in API costs across our six AI products. After a focused prompt caching refactor, it dropped to $167 - a 73% cut without changing models. Here is exactly what worked, what didn't, and the mistakes that cost real money.
After porting a customer-support agent across all three frameworks, here is the honest TypeScript AI framework comparison for production in 2026 with benchmarks, code volume counts, and migration notes from real client work.
I ran E2B, Modal Sandboxes, and Daytona in production across 380K agent invocations at Warung Digital. Here is what I learned about cold starts, isolation, GPU support, and which one to pick for your AI agent code execution stack in 2026.
Hands-on comparison of LiteLLM, Portkey, and OpenRouter from running six AI products in production. Pricing, observability, guardrails, and the cost-bracket framework I use to pick between them.
Helicone went into maintenance mode after Mintlify acquired it in March 2026. Langfuse joined ClickHouse. Here is how I picked an LLM observability platform across our six AI products in production — and which one I would skip.