DEEPTECH AI LABS

DEEPTECH AI LABS
AI Code Systems, Tested and Explained Visually.

For developers who want to understand, build, and evaluate AI software—not just watch the hype.

Expect visual explanations, practical builds, and technical breakdowns covering:

• AI coding agents — Claude Code, Cursor, local agents, workflows, tests
• Agentic systems — MCP, LangGraph, RAG, tool use, memory, multi-agent architecture
• Model engineering — inference, quantization, MoE, KV cache, llama.cpp, Ollama, vLLM
• Local AI — what really runs on consumer hardware, with live speed and memory results
• AI security — prompt injection, agent hijacking, jailbreaks, safer system design
• AI infrastructure — GPUs, CPUs, deployment, benchmarks, inference economics

Every claim is demonstrated, measured, or sourced. Expect code, visual system diagrams, repeatable experiments, and verdicts.
Built on 17+ years of enterprise systems and software engineering experience.
Subscribe to build AI systems that work beyond the demo