AI & Intelligent Systems
AI agents built as production software.
An AI agent is software that uses language models to perform tasks, retrieve data and take actions on your behalf. I build them as real software — with architecture, error handling and operational logging.
AI agent development covers autonomous agents that interact with APIs, databases, files and external services. The agent's capabilities are scoped from your real use case — not assembled from a demo.
Scope & Deliverables
What this engineering discipline covers
- Agent architecture designed for your use case
- LLM integration via API (OpenAI, Anthropic, Google and others)
- Tool and function calling integration
- Memory and context management
- Integration with your existing APIs and data
- Logging, observability and error handling
- Production deployment, not demo scripts
Methodology
How we engineer and deliver
Define the capability
What the agent does, what data it accesses, and where it hands off to humans.
Build and evaluate
Build the agent and evaluate against real inputs — not curated demos.
Deploy and monitor
Production deployment with logging and a clear operational runbook.
Have something worth building?
Let's turn the idea into software. Scoped in writing, engineered to specification, and delivered with precision.