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Curated AI guides: EU AI Act playbooks, coding agents, eval/guardrails, inference economics, and healthcare AI — pillars only, not a news dump.
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View all →Claude Sonnet 5.5 for Agentic Coding and Everyday Knowledge Work: The October 2026 Mid-Tier Workhorse Deep Dive
Anthropic’s Claude Sonnet 5.5 (September 28, 2026) upgrades the mid-tier with 30%+ speed gains, strong Terminal-Bench and FrontierCode scores, and Sonnet 5 list pricing—this analysis explains why it is the default workhorse for coding agents and knowledge work, when to escalate to Opus or delegate to Haiku 5.5, with forecasts and falsifiers for platform teams.
Claude Haiku 5.5 and High-Volume Inference Economics: Subagents, Cache Reads, and Enterprise Routing After October 7, 2026
Anthropic shipped Claude Haiku 5.5 on October 7, 2026, with sharply lower list prices and stronger small-model benchmarks—this analysis explains what that means for cost-sensitive workloads, Opus/Sonnet subagent stacks, and the same-week Sonnet 5.5 cache-read cut, with forecasts and falsifiers for platform teams.
AI in Healthcare Diagnostics: How Clinical Decision Support Is Evolving in 2026
A comprehensive analysis of AI-powered healthcare diagnostics in 2026. From radiology to pathology, explore how clinical decision support systems are improving accuracy, reducing costs, and reshaping patient care.
EU AI Act High-Risk Deployments in May 2026: A Compliance Playbook for Engineering, Legal, and Product Teams
As EU enforcement timelines sharpen in late April and early May 2026, this playbook maps high-risk AI obligations to deployable controls—documentation, logging, human oversight, and falsifiable rollout gates—not generic policy slides.
Enterprise AI Agent Governance Frameworks Mature as Production Deployments Scale in 2026
As enterprise AI agents move from pilot programs to production-scale deployments in Q2 2026, new governance frameworks are emerging to address accountability, observability, and risk management challenges unique to autonomous systems.
LLM Evaluation Costs Drop 60% as Automated Benchmarks Replace Manual Red Teaming in 2026
The cost of evaluating large language models has plummeted in 2026 as automated benchmark suites replace labor-intensive manual red teaming, enabling enterprises to assess models continuously rather than periodically.
Open-Weight vs. Closed-API Models in 2026: A Total-Cost-of-Ownership Framework for AI Buyers
A buyer's framework for choosing between open-weight and closed-API LLMs in late April 2026—covering inference cost, fine-tuning, governance, latency, and the realistic break-even points where each strategy wins.