DARKKEVN Labs

Independent AI and product studio in Canada

AI agents, apps, and workflows built across the modern AI ecosystem.

DARKKEVN Labs designs practical AI systems using the platform and model that best fits the work, including OpenAI, Anthropic, Google, Microsoft, xAI, Meta, Mistral, and other modern providers.

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OpenAI, ChatGPT, and Codex

OpenAI API integrations, tool use, structured outputs, voice, vision, assistants, agent workflows, and AI-assisted product development with Codex.

Anthropic Claude and Claude Code

Claude API integrations, long-context workflows, document analysis, tool-connected agents, MCP integrations, and software development workflows using Claude Code.

Gemini, Azure OpenAI, and Copilot

Gemini API and Google AI workflows, Azure OpenAI architectures, Microsoft Copilot Studio, and GitHub Copilot-assisted development paths.

Grok, Llama, Mistral, and Perplexity

Provider comparison, open-model options, grounded search, private deployments, and model routing based on quality, privacy, latency, and cost.

RAG, MCP, and AI automation

Retrieval from approved data, Model Context Protocol connections, business tools, secure actions, evaluations, monitoring, and human approval steps.

AI development frequently asked questions

What kinds of AI systems can DARKKEVN Labs build?

DARKKEVN Labs builds custom AI agents, assistants, workflow automations, retrieval systems, lead qualification tools, internal knowledge search, AI-enabled websites, and AI features for web or mobile apps.

Can you build with the OpenAI API, ChatGPT, or OpenAI Codex?

Yes. A project can use OpenAI APIs for text, vision, voice, structured outputs, tool use, or agent workflows. OpenAI Codex can also support the development and review process when it fits the project.

Do you work with Anthropic Claude and Claude Code?

Yes. Anthropic Claude can support production assistants, analysis, tool-connected workflows, and long-context use cases. Claude Code can be part of an AI-assisted software development workflow.

Can you compare OpenAI, Claude, Gemini, Grok, Llama, and Mistral for a project?

Yes. Model selection should consider output quality, privacy, latency, context, tool support, deployment options, and operating cost. The recommendation is based on the product requirement rather than loyalty to one provider.

What are RAG and MCP?

Retrieval-augmented generation, or RAG, lets an AI system answer from approved documents or data. Model Context Protocol, or MCP, gives compatible AI clients a structured way to connect with tools and business systems.

Can AI be added to an existing website or application?

Yes. AI can be introduced as a focused feature such as search, intake, summarization, document processing, customer support, content operations, or an internal assistant without rebuilding the entire product.