Stress-Testing Models and Agents Before Release: How to Evaluate AI Safety & Evaluation Tools
A generative AI application that passes 95% of happy-path unit tests can still leak system prompts, hallucinate non-existent refund policies, […]
From Policy Documents to Runtime Enforcement: How to Evaluate AI Governance & Policy Tools
Most enterprise AI initiatives stall not because models lack intelligence, but because legal, risk, and security teams have no centralized […]
Decoupling Prompts From Deploys: How to Evaluate Prompt Management & Versioning Tools
Hardcoding multi-paragraph system prompts inside Python files or environment variables works until a product manager needs to adjust a tone […]
Treating Prompts Like Production Code: How to Evaluate Prompt Engineering Tools
Hardcoding multi-page system prompts inside Python strings or database blobs works until a minor phrasing tweak breaks JSON formatting for […]
Choosing the Right Abstraction Layer: How to Evaluate LLM Orchestration Frameworks
Calling a language model is a single HTTP request, yet production AI applications rarely stop at one call. Real workloads […]
Seeing Inside Non-Deterministic Loops: How to Evaluate Agent Observability Platforms
Traditional Application Performance Monitoring (APM) tools like Datadog or New Relic tell you that an HTTP endpoint returned 200 OK […]
Giving Agents Continuity Without Context Bloat: How to Evaluate Agent Memory & State Management Platforms
Stateless language models treat every API call like the first day on the job. Dumping an entire multi-week conversation history […]
Governing Agent Tool Access at Scale: How to Evaluate MCP Gateways & Remote MCP Management
Running five local stdio MCP servers on an individual engineer’s laptop works well during experimentation. Deploying MCP across a 500-person […]
The User-Facing Control Plane: How to Evaluate MCP Clients & Host Apps
An MCP server is useless without a capable MCP host and MCP client to orchestrate it. In Model Context Protocol […]
Connecting Models to Real Systems: How to Evaluate Model Context Protocol (MCP) Servers
Before the Model Context Protocol (MCP), connecting an AI assistant to internal tools created an unsustainable integration matrix: every model […]