Prompt Caching in 2026: Anthropic, OpenAI, Azure Compared
Prompt caching is the highest-ROI cost lever on long-context LLM workloads in 2026. Anthropic, OpenAI, and Azure OpenAI all offer it with different pricing and breakpoint semantics. A worked comparison of the three providers, the placement patterns that actually hit cache, where the cache silently goes cold, and a 30-minute audit that pays back.
Browser-Based Agents in Production: Computer Use Compared
Browser-based AI agents moved from labs to early production in 2025 and 2026. Anthropic Computer Use, Microsoft Magentic, and OpenAI Operator each take a distinct architectural bet. This is the working comparison for engineers deciding which to deploy and which workloads they actually fit.
Building Reliable Agent Tools: Schemas, Idempotency, Recovery
A production-shaped guide to designing AI agent tools that the model can actually use without breaking things. Schema choices, idempotency keys, error responses the model can act on, granularity tradeoffs, versioning, and the patterns that separate demo-quality tools from ones that hold up in real workloads.
Claude Design: What Anthropic's Figma Challenger Means for Teams
A technical review of Claude Design, Anthropic's April 2026 launch that turns Claude into a visual work tool. Coverage includes the Opus 4.7 multimodal foundation, the design-system learning feature, workflow integration patterns, enterprise considerations, and where Claude Design sits alongside Figma rather than replacing it.
Model Context Protocol in Production: One Year Review
One year after MCP shipped, this is what adoption actually looks like — server ecosystems, integration patterns, security concerns like tool poisoning and prompt injection, and the open questions heading into 2026.