Model
LLM behaviour, prompts, correctness and safety
AI TESTING CONSULTING
AI Testing across models, RAG, agents, APIs, web and mobile
AI testing combines software testing discipline with evaluation of probabilistic model behaviour, knowledge retrieval, agent workflows and production quality. The work covers LLM testing, RAG testing, AI agent testing, conversational AI testing and repeatable test automation.
System
RAG, tools, APIs, orchestration and integrations
Experience
Conversation, accessibility, journeys and human handover
Automation
Playwright, API automation and AI evaluation
Security
Prompt injection, data leakage and unsafe actions
Release
Evaluation gates, evidence and production feedback
From AI testing strategy to implementation
Start with the highest-risk behaviours and build a repeatable evaluation and regression system around them.