About AgentKai
Combining decades of software engineering experience with practical AI evaluation, red-team thinking, and LLM quality assessment.
Clive Smart
Lead Practitioner, AgentKai
Led by Clive Smart
AgentKai is led by Clive Smart, an experienced software engineer who has spent decades building, designing, and maintaining robust software architectures. Over the last few years, he has moved deeply into AI Evaluation, AI Red Teaming, and LLM Quality Assurance.
As AI systems transition from research labs to mission-critical business processes, the industry is discovering a critical flaw: traditional testing does not work on probabilistic models. When outputs are stochastic, checking for identical string matching is insufficient.
"We must transition from testing code logic to evaluating probabilistic behavior across a matrix of prompts, retrieved contexts, and edge cases."
AgentKai was founded to provide a grounded, hype-free, and technically rigorous approach to AI testing. We do not evaluate systems based on developer promises; we test them via adversarial inputs, boundary stress checks, and grounding assessments.
Hands-on Capability
We have practical, engineering-first experience evaluating and deploying:
AI-Powered Applications
Analyzing application middleware, prompt handling, orchestration layers, and semantic caching configurations.
Conversational Agents
Evaluating multi-turn instructional retention, escalation parameters, formatting, and conversational boundaries.
RAG Architectures
Testing vector retrieval quality, context chunk formatting, grounding scores, and citation accuracy.
AI-Assisted Workflows
Mapping human-in-the-loop dependencies, checking reliability under high-load, and assessing failure rates.
Local LLM Deployments
Running and testing open-weight models (Llama, Mistral) locally, examining token limits, temperature behaviors, and latency.
AI Coding Agents
Assessing automated software generation pipelines, self-correction capabilities, and execution container security.
Want a technical review of your AI integration?
No marketing fluff, no excessive reports. Just practical, actionable, code-level vulnerability checks and performance metrics.
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