Articles & Insights

Does your RAG system really need a separate vector database? A look at sync costs, pgvector in practice, HNSW vs IVFFlat, and the scale where dedicated stores pay off.

Self-host an LLM or pay for an API? We break down GPU, power and per-token costs, the break-even point, Indonesia's PDP Law, hidden ops work, and a practical hybrid setup.

Stop pasting the same prompt every day. Learn how to package your team's workflows into Agent Skills (SKILL.md) so AI works consistently every time.

Confused between memory, RAG, and fine-tuning for your AI app? This guide explains what each one does, a decision table, and the right implementation order for production.

A practical guide to your first MCP server for internal business data: read-only tools first, descriptions as interface, token-efficient results, and a security checklist.

Discover the Model Context Protocol (MCP), the open standard that connects AI to your databases, documents, and business tools without building custom connectors one by one.

Tokens, servers, embeddings, heartbeats and maintenance: a breakdown of what AI agents really cost and how to calculate an honest ROI before you set a budget.

A practical guide to picking and configuring a VPS for self-hosted AI agents: real runtime requirements, minimum vs recommended specs, keeping agents alive 24/7, and a breakdown of monthly costs.

A practical walkthrough for setting up OpenClaw, the open-source self-hosted AI agent, from Node.js install to running your first agent over chat in 15 minutes.