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Best for tech-driven teams
AI Engineering Workshops & Agentic Productivity
AI Engineering Enablement for Modern Teams
We help software teams and technology-driven companies adopt AI as a serious engineering and productivity layer.
This is not basic ChatGPT training.
We work with teams that want to build faster, automate internal workflows, improve developer productivity, connect AI to company knowledge and design their own AI-native operating systems.
Our workshops combine hands-on engineering, architecture, tool setup and strategic AI adoption.
We show your team how to use coding agents, RAG systems, local LLMs, custom agent rules, knowledge retrieval, fine-tuning strategy and agentic workflows in real business and production environments.
What your team learns
- How to use modern coding agents inside real repositories
- How to structure AI-assisted development workflows
- How to build internal AI assistants over company knowledge
- How to create custom rules, prompts, specs and agent memory
- How to connect AI to tools, files, databases and APIs
- How to decide between RAG, fine-tuning and agentic automation
- How to run open-source and local LLMs safely
- How to evaluate AI output quality before production use
- How to create secure AI usage policies for engineering teams
- How to turn AI from random experimentation into repeatable company capability
Tooling we cover
Codex CLI
Claude Code
OpenClaude
Gemini CLI
Cursor Agent
Aider
OpenCode
Goose
Amp
Kilo Code
Pi Coding Agent
Hermes Agent
OpenClaw-style automation
Ollama
LM Studio
Hugging Face
Vector databases
RAG pipelines
Local LLMs
MCP-style tool integrations
Custom agent specs
Project memory
AI workflow automation