Hands-on guides, tool comparisons, and behind-the-scenes looks at how modern teams use AI.
A working engineer's comparison of the five vector databases teams shortlist in 2026 — real benchmark numbers, pricing at scale, index-type tradeoffs, and a decision matrix for production RAG.
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.
Why bigger context windows won't save your AI agent, and the four context-engineering techniques that do: compaction, structured note-taking, just-in-time retrieval, and sub-agents.
An honest, hands-on 2026 comparison of the four web-data tools every RAG team weighs: Firecrawl, Jina Reader, Crawl4AI, and ScrapingBee. Pricing traps, anti-bot strength, and when each one actually wins.
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.
A production-tested comparison of fixed-size, recursive, semantic, late chunking, and contextual retrieval for RAG — with 2026 benchmarks and the strategy I actually deploy.
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.
A hands-on 2026 comparison of DSPy, TextGrad, and GEPA for automatic prompt optimization — what each one optimizes, the published benchmarks, real production costs, and a decision matrix from running all three on live AI products.
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.