Blog
Should You Actually Use Redis Iris? An Honest Builder's Verdict
Redis Iris solves real production agent problems. It also requires real operational commitment. Here is the 5-question checklist I use to decide.
Redis Iris vs. Pinecone Nexus vs. Naive RAG: When to Use What
The only question that matters when choosing a retrieval architecture: how fast does your data change? Here is the full comparison with three concrete scenarios.
Why Your RAG Pipeline Fails in Production
Most production RAG failures are not model problems. They are runtime data problems. Here is what actually breaks and why better retrieval does not fix it.
How Redis Iris Actually Works: A Builder's Breakdown
Redis Iris has four moving parts. Here is how RDI, the Context Retriever, Agent Memory, and LangCache actually work, with honest tradeoffs on each.
The Best Agent Evals Come From Production Failures, Not Design Sessions
Most teams spend weeks designing agent evals from scratch. The ones that build better agents discover them from real traces and real failures. Here is what that actually looks like.
OpenAI Just Went Full Palantir
OpenAI's Tomoro acquisition is not a consultancy buy. It is the Palantir model applied to frontier AI, and it is the smartest enterprise move OpenAI has made.
From Prompt Engineering to Programmatic Optimization: A Practical DSPy Primer
DSPy 3.2.1 ships optimizer chaining — you can now chain prompt and weight optimizers in a single pipeline. This is what that means for your LLM stack and when you should use it.
The 90-Day Playbook for Teams That Shipped AI Agents Too Fast
64% of enterprise teams deployed AI agents before they felt ready. Here is the practical 90-day sequence to harden what is already running — inventory, guardrails, observability, and attribution.
A Commit Message Cost a Developer $200 in Silent AI Charges
The HERMES.md billing bug in Claude Code exposed how opaque AI billing heuristics can silently drain credits. What enterprise teams need to audit now.
GPT-5.5 vs Opus 4.6 vs Gemini: What the Reddit Benchmarks Do Not Tell You
GPT-5.5 just launched. Reddit benchmarks are everywhere. Most of them test the wrong thing. Here is what a practitioner evaluation across enterprise workflows actually shows about the three-way model war.