9 min read
AI Evals: How to Measure AI Quality Before and After Launch
How to build AI evals that catch failures before customers do: golden datasets, scoring methods, release gates, online monitoring — with example thresholds.
Category
AI systems
LLM gateways, observability, cost control and running AI as a governed platform.
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AI Ops: How to Keep AI Systems Healthy After Launch
Why AI systems degrade after launch and how AI Ops prevents it: what to monitor, how to ship changes safely, an incident playbook and real retainer prices.
12 min read
LLM Gateway: Model Routing, Cost Control and Observability
How an LLM gateway routes each request to the right model, caps token spend, adds fallbacks and logs every call — with a rollout plan and mistakes to avoid.
9 min read
MCP Explained: Connecting AI Agents to Your Systems Safely
What the Model Context Protocol is, when MCP beats direct APIs, the real security risks of connecting AI agents to company systems and eight controls that work.
10 min read
Private and On-Prem LLMs for European Companies: When and How
Private LLM, EU cloud or on-prem server? A practical guide for European companies: the five hosting levels, GDPR and AI Act, cost drivers and six rollout steps.
9 min read
Prompt Injection and AI Agent Security: Practical Defenses
Prompt injection cannot be patched away, but its damage can be contained. How attacks hit business agents, a 5-minute risk test and eight defenses that work.
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