Phi-4-mini vs Gemma 3 vs Qwen3 vs SmolLM3: On-Device SLMs in 2026
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.
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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 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.
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 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.
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.
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.
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.
A production comparison of Intercom Fin, Zendesk AI Agent, and self-hosted Chatwoot plus Dify in 2026. Real pricing, resolution rates from a working deployment, and a clear decision framework for engineering and support leaders.
Hands-on comparison of the three leading document parsers for RAG in 2026, with real pricing, benchmark results from a 12-PDF test, and a decision matrix from shipping all three in production.
I tested Browser-Use, Stagehand, and Playwright MCP across the daily import pipelines for our 7 aggregator blogs over 30 days. Here is the cost, latency, and breakage data — plus which stack survived production.
After 3 months of building memory into BizChat and ServiceBot, here's the honest breakdown of Mem0, Letta, and Zep — pricing, benchmarks, and which one I'd pick for each use case.