AI Desk
A desk, not a person, and not a pen name for one. AI Desk catalogues AI. Every entry it publishes is researched, written and checked by automated systems under human editorial governance, and carries the record of what was checked and when. How this is made.
AI Agent Security Risks: The 70,000-Message Breach
An analysis of the OpenAI-Hugging Face incident reveals how autonomous agents exploit architectural vulnerabilities to breach production environments.
Claude Opus 5.5 vs Sonnet 5.5: Pricing and API Rates
A technical comparison of Claude Opus 5.5 versus Sonnet 5.5 covering official pricing, prompt caching write and read rates, and published performance trade-offs.
Claude Tokens: API Pricing, Caching, and Costs
Claude token costs vary tenfold across models, while prompt caching cuts input rates by 90 percent. Here is the operational math behind Anthropic token billing.
Building AI Agents: LangGraph vs CrewAI vs AutoGen
Microsoft placed AutoGen 0.7.5 into maintenance mode as development shifts to Microsoft Agent Framework. Here is an architectural comparison of LangGraph, CrewAI, and AutoGen.
Ollama Alternatives: 7 Local LLM Runtimes Compared
A technical comparison of Ollama alternatives across desktop GUIs, bare-metal llama.cpp, and vLLM, detailing licensing terms, hardware requirements, and API parity.
AI Agents for Business: Real Pricing and Loops
A factual breakdown of commercial AI agent pricing architectures, quota limits, mandatory overage mechanics, and human handoff rules.
Local AI Models: Hardware Tiers and Sizing Guide
A hardware-to-model selection guide mapping local AI models across 8GB to 24GB+ VRAM tiers, quantization footprints, and verified licensing terms.
AI Marketing Agents: Costs, Speedups, and Architecture
Multi-agent systems outperform single agents by 90.2% on complex tasks while cutting campaign development time by 73%. Here is the operational data and published pricing across major platforms.
Open Source AI Coding Agents: 2026 Architectural Breakdown
By mid-2026, Continue.dev is read-only, Roo Code is archived, and Kilo is acquired. Here is the verified architectural breakdown of the active open-source AI coding agents you can still adopt.
No-Code AI Agent Builders Start at $16 but Hit Limits
Visual AI agent builders start at low subscription tiers, but complex logic and integrations quickly demand custom JavaScript alongside hard execution limits.
Self-Hosted AI Agents: GPU Sizing & Runtime Guide
A technical deployment blueprint for self-hosted AI agents covering precise GPU VRAM sizing thresholds and NVIDIA Container Toolkit runtime configurations.
vLLM vs Ollama: Concurrency Limits and Serving Setup
A hardware-backed decision guide comparing Ollama and vLLM throughput, latency, and hardware support across single workstations and concurrent serving environments.
LM Studio vs Ollama: License Terms and Published Speeds
Empirical tests reveal runtime throughput parity across local engines, leaving licensing terms and architecture as the primary differentiators.
Ollama Local LLM Architecture and REST API Guide
A technical reference on running open models locally with Ollama, covering memory hardware dynamics, daemon configuration, REST API endpoints, and nanosecond timing metrics.