01
Autonomous AI agents
Agents that break a goal into steps, act on them and recover from mistakes, with the guardrails and human checkpoints you need.
Agentic AI
Agentic AI development, end to end
From a first prototype to a reliable agent your team trusts, I cover the whole stack of modern AI agent development.
02
Multi-agent systems
Coordinators and specialist sub-agents that research, write, code and review in parallel, so complex work gets done faster.
03
MCP and tool integrations
Model Context Protocol servers and tool APIs that connect agents safely to your apps, data, CRM and internal systems.
04
RAG and knowledge agents
Retrieval-augmented assistants grounded in your documents and data, with citations people can check.
05
AI workflow automation
Replacing repetitive multi-step processes with agents that run on a schedule or a trigger and report back.
06
Evals and reliability
Test suites, evaluation harnesses and monitoring that measure how well an agent really performs before and after launch.
ClaudeModel Context ProtocolGitHub CopilotCursorJavaScript / ES6TypeScriptReactReact QueryNode.jsC# / .NETJavaAWSAzureCloudflare WorkersSQL ServerSnowflake