Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
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New comparisons, practical guides and engineering lessons.
AI & AgentsThunder Compute’s $13M GPU Virtualization Bet: Enterprise Buyer’s Guide
Thunder Compute says GPU pooling can recover stranded capacity. Compare network virtualization with MIG, vGPU and passthrough, then scope a measurable enterprise pilot.
AI & AgentsOpenViking Review: Filesystem Memory for AI Agents
How OpenViking uses a virtual filesystem and layered summaries for agent memory, with checked LoCoMo results, token-saving caveats and pilot criteria.
AI & AgentsLLM-as-a-Verifier Explained: Architecture, Costs, and Production Fit
A technical buyer guide to fine-grained LLM verification: how logprob scoring and pivot tournaments work, what the benchmarks prove, and how to pilot it safely.
Delivery & QAMoneyPrinterTurbo Review 2026: Free AI Video, Real Costs
MoneyPrinterTurbo turns a topic into a narrated short, but free code is only the start. See its setup, hidden costs, licensing, platform risk and production fit.
AI & AgentsAirLLM on 4 GB VRAM: How Layer-Wise Inference Really Works
AirLLM can execute models far larger than GPU memory by streaming weights layer by layer. Separate the measured VRAM claim from disk, latency, quantization and production reality.
AI & AgentsTrueForge Review: Is the Open-Source Agent Harness Production-Ready?
A buyer-focused review of TrueForge, its agent loop, context controls, benchmark economics, deployment modes and enterprise production gaps.
AI & AgentsAgent-Readable Websites: llms.txt, Markdown Mirrors and What Breaks
What public HTML, crawler controls and optional machine formats actually do, with the conversion failures our build gate catches.
Leadership & TeamsMicro Agency vs Mid-Size Agency: How Big Should Your Software Partner Be in 2026?
The one-person agency versus micro agency argument is a debate between sellers. Here is the buyer’s version, with the team-size research, the 2026 agency margin data, and the four clauses that make a small partner safe to hire.
AI & AgentsQwen3.8-27B: Self-Hosted Computer-Use Agents Without Exporting Screenshots
An open-weight model now leads desktop-operation benchmarks. What that changes for back-office automation you cannot send to a hosted API.
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