AI

Hands-on guides to LLMs, agents, prompt engineering, and the AI tools Botmonster runs every day for real work, not demos.

Production LLM hallucinations: taxonomy, evals, and RAG defenses

Production LLM hallucinations: taxonomy, evals, and RAG defenses

Reduce LLM hallucinations: failure taxonomies, Chain-of-Verification, RAG grounding, eval suites, and architectural defense layers for production.

Automating Gmail with local AI agents and Python

Automating Gmail with local AI agents and Python

Build a private Gmail agent in Python using local LLMs to summarize, classify, and draft emails without cloud exposure. Gmail API and Ollama setup.

Evaluating AGENTS.md: are repository context files actually helpful?

Evaluating AGENTS.md: are repository context files actually helpful?

When do repository context files like CLAUDE.md help AI agents? An analysis of documentation quality, structure, and when context files become noise.

A glowing desktop graphics card streams data into a landscape painting on an easel beside VRAM and wattage gauges

Run FLUX 2 locally in 2026: VRAM by GPU + ComfyUI setup

Run FLUX 2 locally in ComfyUI. VRAM by GPU from 8GB to 24GB, GGUF builds, the variant that fits your card, cost versus cloud, and the files to grab.

Why small language models (SLMs) are better for edge devices

Why small language models (SLMs) are better for edge devices

Small Language Models like Phi-4 and Gemma 3 run offline on Raspberry Pi and other edge devices. Why sub-4B parameters beat cloud inference calls.

SDXL 2.0 LoRA: 50-300 MB adapters on 12 GB VRAM

SDXL 2.0 LoRA: 50-300 MB adapters on 12 GB VRAM

Fine-tune Stable Diffusion XL 2.0 with LoRA adapters: dataset prep with vision-language models, training with kohya_ss, custom styles on 12GB VRAM.