25 articles matching your search.
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.
Benchmark headlines say 94%, but production text-to-SQL fails silently on complex joins. Here's where it actually breaks in 2026 and the semantic-layer architecture that fixes it.
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.
Five rerankers tested for production RAG in 2026 - Cohere 3.5, Voyage 2.5, Jina v3, Mixedbread mxbai-large-v2, and FlashRank. BEIR scores, latency, cost, and the call I made for our aggregator stack.
After shipping streaming for 6 production AI apps, I learned SSE, WebSocket, and polling each win different battles. Here is when to pick which, with real numbers from our Hostinger stack.
I tested four production LLM guardrail stacks across six AI products I shipped. Honest comparison of Lakera, NeMo Guardrails, Guardrails AI, and Pillar Security — latency, pricing, and what I actually run in production.
A working engineer's view of the four libraries that actually solve the malformed-JSON problem in production AI: Instructor, BAML, Outlines, and Pydantic AI. Real benchmark numbers from 1.4M monthly LLM calls.
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.
OpenAI bought Promptfoo for $86M in March 2026. Here is how the three leading LLM eval tools — Braintrust, Promptfoo, DeepEval — actually compare for production teams in May 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.
Hands-on comparison of Claude Skills and MCP servers from six AI products in production. Token economics, OAuth gaps, and a decision framework.
Salesforce reported Reddit cut average advertiser support resolution time by 84 percent using Agentforce. I reverse-engineered the architecture and copied 5 patterns into our own ServiceBot helpdesk. Here is what worked, what did not, and the real build-vs-buy math at SMB scale.