51 articles matching your search.
A production engineer's comparison of the four leading AI agent memory layers in 2026 — Mem0, Zep, Letta, and Cognee — with real benchmark numbers, token costs, and pricing.
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.
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.
GraphRAG promises smarter retrieval, but it can cost 40x more to index. Here is a production breakdown of GraphRAG vs vector RAG vs hybrid, with real 2026 cost, latency, and a decision matrix.
After shipping three agent rewrites of ContentForge AI Studio in 18 months, here is what LangGraph, CrewAI, OpenAI Agents SDK, and AutoGen v2 actually feel like in production — with token costs, latency numbers, and the pitfalls each one steers you into by default.
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.
I compared FLUX.1, Recraft V3, Ideogram 3.0, DALL-E 3 and Stable Image Ultra across 7 production sites generating 180 images/day. Real pricing, real latency, and what I actually run.
Hands-on comparison of the 4 LLM red teaming tools I shipped to production across 6 AI products at Warung Digital — what each catches, what it costs, and the kill-chain stack that found 91 severity-high vulnerabilities in 4 months.
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.
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.