Seattle Skeptics on AI

Tamara Weed, Mar, 9 2026

Silent failures in GPU-backed LLMs cause performance drops without crashing-costing money and trust. Learn the key metrics to monitor, how health checks differ across platforms, and how to build a simple, effective system to catch problems before users do.

Tamara Weed, Mar, 8 2026

LLM agents are autonomous systems with dangerous security flaws - prompt injection, privilege escalation, and isolation failures are causing real-world breaches. Learn how these threats work and what actually stops them.

Tamara Weed, Mar, 6 2026

Prompt chaining turns complex multi-file code refactors into manageable steps, cutting errors by 68% and saving weeks of work. Learn how it works, which tools to use, and how to avoid common pitfalls.

Tamara Weed, Mar, 2 2026

Vibe coding lets non-technical teams build working apps in hours, not weeks. This playbook shows executives how to scale it safely, securely, and without bureaucracy - turning every employee into a builder.

Tamara Weed, Mar, 1 2026

Find the sweet spot between LLM performance and cost by identifying the elbow in the curve-where paying more gives you almost no extra value. Learn which models deliver the best bang for your buck in 2026.

Tamara Weed, Feb, 27 2026

Learn how to implement generative AI responsibly with clear governance, oversight, and compliance strategies that reduce risk, accelerate deployment, and protect your organization in 2026.

Tamara Weed, Feb, 26 2026

Open-source AI coding models are reshaping how developers work, not through raw power, but through community-driven customization, local control, and transparent collaboration. In the Vibe Coding Era, the best tools aren't the most advanced-they're the ones you can own.

Tamara Weed, Feb, 25 2026

NIST, ISO, and SOC 2 offer different approaches to securing generative AI. NIST's AI RMF is the most detailed and targeted, while ISO and SOC 2 lack AI-specific controls. Learn how they compare and what you need to do now.

Tamara Weed, Feb, 24 2026

Understanding memory and compute footprints in transformer layers is critical for deploying LLMs efficiently. KV cache, quantization, and attention optimizations determine cost, speed, and reliability in production.

Tamara Weed, Feb, 23 2026

AI can draft documentation quickly, but it can't explain why decisions were made. Treating AI output as a draft that requires human review and rationale ensures accuracy, context, and long-term maintainability in technical systems.

Tamara Weed, Feb, 22 2026

Vibe coding transforms enterprise development by letting AI handle execution while engineers focus on clear specs and oversight. It’s not magic - it’s a new way of working that demands discipline, not just tools.

Tamara Weed, Feb, 21 2026

Prompt hygiene stops LLMs from making dangerous mistakes by using clear, structured instructions. Learn how precise prompts cut hallucinations by over half and prevent security risks in clinical, legal, and financial tasks.