14 articles · from production, not theory
Build vs Buy an AI Agent: An Honest Decision Framework
When an off-the-shelf AI tool beats a custom agent, when it doesn't, and the four questions that decide it — from someone who profits from 'build' but will tell you to buy.
2026-07-26 · 4 min read
LangGraph vs CrewAI: Which AI Agent Framework for Production? (2026)
An honest, docs-grounded comparison of LangGraph and CrewAI — mental models, state and durability, human-in-the-loop, protocols, and which one to actually ship to production.
2026-06-09 · 4 min read
Designing Agent Architecture with Memory: A Framework from Anthropic's Patterns and LangGraph's Primitives
Anthropic defines how to structure agent workflows. LangGraph provides the memory primitives. Nobody connects the two. This post does — a practical design framework for matching each Anthropic agent pattern to the right LangGraph memory architecture.
2026-05-18 · 15 min read
Adding Memory to Production AI Agents: Mem0, Zep, and LangMem Compared
Your LangGraph agents forget everything the moment a session ends. Here's how to fix it — a production guide to agent memory architectures, Mem0 vs Zep vs LangMem benchmarks, token cost reduction, and GDPR compliance.
2026-05-17 · 12 min read
Production Agent Memory: Compaction, Decay, and the Observation Engine
Most agent memory systems store facts and retrieve them. Production memory does more: it learns behavioral patterns, promotes them to rules, compacts history without losing signal, and scores retrieval with tier-aware decay. Here's the full architecture.
2026-05-08 · 19 min read
How Much Does It Cost to Build an AI Agent? A Developer's Breakdown
Real cost breakdown of building AI agents — LLM API pricing, infrastructure, vector stores, and development time from 4 production agents.
2026-04-03 · 8 min read
GDPR-Compliant AI: Building Guardrails for EU AI Act Readiness
How to build AI systems that comply with GDPR and the EU AI Act — PII filtering, human-in-the-loop, audit logging, data minimization, and LangChain guardrails middleware.
2026-04-02 · 8 min read
How to Build a SaaS with AI Agents: Architecture for Founders
A practical architecture guide for founders building AI-powered SaaS — from agent design and multi-tenancy to billing, deployment, and the build-vs-buy decisions that matter.
2026-03-22 · 7 min read
Prompt Engineering for Production: Beyond ChatGPT Tricks
Production prompt patterns that go beyond tips and tricks — system prompt architecture, structured output, few-shot calibration, context engineering, and prompt versioning with LangSmith.
2026-03-10 · 9 min read
MCP (Model Context Protocol): Connecting AI Agents to Real Tools
Practical guide to MCP — connecting AI agents to tools, databases, and APIs. Covers primitives, FastMCP servers, tool annotations, elicitation, and security.
2026-02-14 · 9 min read
Tokenizing Real Estate on Algorand: A MiCA-Compliant Architecture
Building BitBricks — fractional real-estate tokenization on Algorand with MiCA compliance, ASA RBAC, ARC-20 Smart ASA, and KYC-gated whitelisting.
2025-12-15 · 7 min read
LangSmith in Production: Observability, Evaluation, and Debugging AI Agents
How to use LangSmith for production AI agent observability — tracing, cost tracking, offline and online evaluation, dashboards, alerts, and the feedback loop that makes agents improve over time.
2025-11-22 · 5 min read
Building AI Agents with LangGraph: From Prototype to Production
Production-ready AI agents with LangGraph — durable execution, multi-agent orchestration, interrupt-based human-in-the-loop, and the @task pattern.
2025-09-18 · 6 min read
Building RAG Pipelines That Actually Work: GraphRAG vs Vector RAG in Production
Vector RAG vs GraphRAG for production — chunking strategies, retrieval architectures (2-Step, Agentic, Hybrid), document grading, and query rewriting.
2025-06-10 · 8 min read
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