AI
Practical AI workflows, local models, coding agents, automation, model serving, and infrastructure notes focused on real-world use and privacy.
Ollama vs llama.cpp vs LM Studio vs Lemonade: Test the Runtime, Not the LogoNew!!
A local-AI runtime comparison framework for Ollama, llama.cpp, LM Studio, and Lemonade: hardware fit, context, APIs, concurrency, privacy, and evidence.
How to Block AI Scrapers: robots.txt, Rate Limits, and Access ControlNew!!
robots.txt publishes a preference; it does not enforce access. Use verified bot controls and rate limits for request policy, authentication for private content, logs for evidence, and legal terms for notice, with tested exceptions for legitimate traffic.
MCP 2026-07-28 Migration Lab: Stateless Core, Auth, and What Breaks
A practical MCP migration lab for the 2026-07-28 protocol revision: stateless behavior, routing headers, auth checks, cache hints, approvals, tasks, and rollback.
Minimum Viable Evals for Technical AI Workflows
A practical AI evals guide for testing prompts, RAG, coding assistants, config review, assertions, Ragas, promptfoo, and regression checks.
Open WebUI Security Baseline: Patch, Isolate, And Test Tool Permissions
A documentation-backed, testable runbook for Open WebUI Security Baseline: Patch, Isolate, And Test Tool Permissions, with safe defaults, validation evidence, failure modes, rollback, and publication-day checks.
Nemotron and Agentic Local AI
A practical guide to NVIDIA Nemotron models and agentic local AI: what a homelab can run, what needs bigger GPUs, and how to keep tools bounded and logged.
Local Coding Assistants: Codex CLI, Continue, Aider, and OpenHands
A noob-friendly guide to choosing and safely using AI coding assistants in a local homelab, including Codex CLI, Continue, Aider, OpenHands, local models, hosted models, Git safety, and task scoping.
Build a Private RAG Box for Network Docs
A private RAG guide for network documentation, configs, diagrams, NetBox exports, runbooks, embeddings, vector search, citations, and evals.
Adding RAG: Chat with Documents Locally
A beginner-friendly guide to local document chat, embeddings, vector databases, Open WebUI knowledge bases, privacy, and common RAG mistakes.
Local AI Hardware Sizing: CPU, NPU, GPU, RAM, and VRAM
A local AI hardware sizing guide explaining model memory, quantization, KV cache, CPU-only use, NPUs, GPUs, RAM, VRAM, and upgrade tiers.