/// BLOG

LOG: BLOG

Ruminations on code, intelligence, and the architectural voids of the modern web.

2026-06-24

Computer Use — AI That Operates Any App Like a Human (No API, No Integration Required)

Your 2003 legacy ERP, a government portal with no API, an old booking system that only runs on Internet Explorer — AI can now operate all of it like a human: clicking, filling forms, reading the screen and making decisions. Computer Use is the biggest shift in automation since RPA. Here's how it works, when it makes more sense than API/n8n, what it costs, and why it replaces an entire class of $200K+ tooling.

16 min

The EU AI Act in Practice — What Your Company Must Do in 2026 (No Panic, No Legalese)

2026-06-23

AI & Security

The EU AI Act in Practice — What Your Company Must Do in 2026 (No Panic, No Legalese)

The AI Act sounds scary, but 90% of SMB automation is "minimal risk" with no extra obligations. I explain the four risk tiers, the provider vs deployer distinction, what applies right now (AI literacy, chatbot transparency), when you fall into "high risk", and what a realistic compliance checklist looks like. With an up-to-date timeline after the May 2026 Digital Omnibus package.

13 min

AI Order Management Automation — How AI Handles the Full Cycle from Cart to Complaint Without Manual Work

2026-06-22

AI & Automation

AI Order Management Automation — How AI Handles the Full Cycle from Cart to Complaint Without Manual Work

AI can handle every stage of the order lifecycle — from receipt through confirmation, invoicing, shipping, all the way to returns and complaints — without manually copying data between systems. See how the full automation pipeline works, what it integrates, what it costs, and when the ROI makes sense.

13 min

2026-06-21

AI & Automation

LangGraph — How to Build Production-Ready AI Agent Workflows

Complete guide to LangGraph: how StateGraph works with nodes, edges and conditional routing, the ReAct pattern step by step, human-in-the-loop with interrupt/resume, PostgreSQL persistence with checkpointers, parallel branches with Send API, streaming, and comparison with CrewAI, AutoGen and Pydantic AI.

16 min

Voice AI Agents — How They Work, What They Cost, and How to Build a Phone Bot

2026-06-17

AI & Automation

Voice AI Agents — How They Work, What They Cost, and How to Build a Phone Bot

The complete guide to voice AI agents: how the STT→LLM→TTS pipeline works, why latency under 600 ms decides whether it sounds human, how interruptions (barge-in) and end-of-turn detection work, which stack to choose in 2026, a comparison of the Vapi, Retell, LiveKit and Pipecat platforms, how to connect SIP/PSTN telephony, what it really costs per minute, and the business use cases with their ROI.

15 min

2026-06-16

AI & Automation

Vector Databases — pgvector, Pinecone, Qdrant or Weaviate? How to Choose for RAG and AI Memory

The complete guide to vector databases: what they are and why you need them for RAG, when pgvector in Postgres is enough and when you need a dedicated database, a pgvector vs Pinecone vs Qdrant vs Weaviate vs Milvus comparison (latency, cost, scale), the difference between HNSW and IVFFlat indexes, deployment code in pgvector, hybrid search and metadata filtering, and common migration mistakes.

15 min

LLM Evaluation (Evals) — How to Measure AI Application Quality with LLM-as-a-Judge

2026-06-15

AI & Automation

LLM Evaluation (Evals) — How to Measure AI Application Quality with LLM-as-a-Judge

The complete guide to evaluating LLM applications: how evals differ from tests, how to build a golden dataset from real failures, how LLM-as-a-judge works and why it agrees with humans ~85% of the time, which metrics to measure (faithfulness, hallucination, answer relevancy), how to avoid judge biases, how to wire evals into CI/CD, and which tool to choose — DeepEval, Ragas, Promptfoo or Braintrust.

15 min

MCP (Model Context Protocol) — One Standard to Connect AI to All Your Company's Tools

2026-06-13

AI & Automation

MCP (Model Context Protocol) — One Standard to Connect AI to All Your Company's Tools

The complete guide to MCP: what problem the protocol solves, how the host–client–server architecture works, how it differs from function calling and OpenAPI, how to build your own MCP server in Python and TypeScript, which ready-made servers to plug into your business tools, and how to secure the deployment against tool poisoning.

14 min

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