AI

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

Allegorical illustration of a translucent brain memory vault with a chaotic multi-armed robot dropping speech bubbles on the left and a calm robot carrying a memory shard on the right

OpenClaw vs Hermes and why memory kills agent loyalty

OpenClaw vs Hermes head-to-head from 1,300 r/openclaw migration comments. Why memory wins, where OpenClaw still leads, and when Codex beats both.

Editorial diagram showing three industrial cranes labeled Google, Bing, and Brave scooping web pages from layered strata, with chatbot robots tethered to them by colored hoses.

AI web search backends: who owns, who rents

AI web search backends: ChatGPT runs on Bing, Claude rents Brave, Gemini owns Google. Here's the sourced map of who owns and who rents the index.

Claude Code vs COBOL: the AI migration controversy that crashed IBM's stock 13%

Claude Code accelerates COBOL migration documentation, but cannot replace the multi-year architectural redesign required for mainframe modernization.

Editorial infographic of an engineer at a control panel splitting glowing data flow between a sealed OAuth gate and an open brass pipe feeding a glowing terminal monolith

OpenClaw on your $20 Claude sub after Anthropic banned it

Anthropic banned third-party OAuth tools from Claude Pro, but OpenClaw's CLI shell-out is sanctioned. Setup, the Agent SDK credit, and cron fallbacks.

Towering brass clockwork robot on a cracked pedestal leaking forgotten paper notes from its memory chamber while handing down a tidy morning news briefing

1,000 OpenClaw Deploys Later

A cloud-infra operator watched 1,000 OpenClaw deploys on r/LocalLLaMA. The one reliable use case: daily news digests. Memory is the bottleneck.

Cross-section of a translucent crystal brain threaded by red, gold, and teal attention ribbons resting on a doubly-stochastic matrix pedestal beside a guitar-tuning lab figure.

DeepSeek V4 tech report: 3 tricks that cut compute 73%

DeepSeek V4 ships 1.6T parameters and 1M context on 27% of V3.2's inference FLOPs. Inside the hybrid attention, mHC residuals, and Muon optimizer.