Engineering for complex AI systems.
Custom agents, secure tool use, evaluation frameworks, deployment architecture and production observability.
Explore enterprise servicesIndependent AI systems engineering
AI agents and automation built for your business.
I build reliable AI agents and business automations that connect to the systems you already use.
Agents & orchestrationSystems integrationEvaluation & reliability
What a production AI system looks likeReference architecture
Incoming business event
Control plane / executionorchestrate
Agent runtime
Context, planning, tool calls and human handoffs in one observable workflow.
ConnectAPIs / databases
Internal tools
Internal tools
VerifyPolicy / evals
Human approval
Human approval
ObserveTraces / audits
Cost controls
Cost controls
Architecture sketch; not a client deploymentBuild → Test → Operate
Engineering the complete AI system.
The value comes from everything surrounding it: the data, tools, controls, and operating workflows.
Integrate 01 / Real systems
Validate 02 / Reliable output
Operate 03 / Measurable results
AI engineering for your operations.
Specialized engineering for enterprise teams and smaller businesses.
Practical automation that saves time.
Connect existing software, reduce repetitive work and put operational data to better use, without rebuilding your stack.
Explore business automationExplore technical projects.
Public technical build concepts that will become documented demos, code walkthroughs, and videos. Each project is clearly labeled by its development status.
Technical demonstration · In development
A production-minded AI agent.
A reference build exploring tool permissions, orchestration, evaluations, human approvals and tracing.
View the project briefIncoming task
Agent + policy
Tool action
Technical demonstration · Planned
A retail operations copilot.
Using representative POS data to surface inventory risks, reporting bottlenecks and actionable workflows.
View the project briefPOS data
Analysis
Action queue
Where I go deep.
Agent development, systems integration, and operational reliability.
01
Agent engineering
Multi-step reasoning, tool execution, MCP, orchestration, approvals and durable workflows.
02
Integration architecture
APIs, databases, CRMs, point-of-sale platforms and existing enterprise systems.
03
Evaluation & operations
Test harnesses, failure analysis, observability, access control and operating cost.
A clear path from idea to operation.
Defined scope, measurable deliverables, and a review after each stage.
01 / Diagnose
Find the leverage
Map the workflow, systems, constraints, and value before committing to a build.
02 / Prove
Make it testable
Build a focused pilot with success criteria, failure scenarios and measurable outputs.
03 / Deploy
Make it dependable
Integrate, secure, monitor and document what the team will actually operate.
Engineering notes.
Practical writing about designing AI systems that hold up outside the demo.
Discuss your AI project.
Tell me what you need to integrate, automate, or make more reliable.