Agent Development
I build purpose-built AI agents designed to handle specific tasks in your business. Not general-purpose chatbots — focused agents that understand your domain, use your tools, and operate with the right level of autonomy for each use case.
Agents that do real work
The best agents are scoped tightly, tested thoroughly, and deployed with clear boundaries on what they can and cannot do.
An AI agent is more than a language model with a system prompt. It's a system that can perceive its environment, make decisions, use tools, and take actions toward a defined goal. The key design decisions aren't about the model — they're about scope, autonomy, error handling, and how the agent interacts with humans when it needs guidance.
I design agents with a production mindset from day one. That means defining clear success criteria, building in observability, handling edge cases explicitly, and establishing the right balance between autonomy and human oversight for your risk tolerance and use case.
Types of agents I build
Different tasks call for different levels of autonomy and human involvement.
Human-in-the-loop agents
Agents that do the heavy lifting — research, drafting, analysis, data gathering — but pause at critical decision points for human review and approval. Ideal for high-stakes processes where you want AI speed with human judgement at key moments.
Autonomous back-end agents
Agents that run independently on schedules or triggers, processing data, monitoring systems, generating reports, or handling routine tasks without human intervention. Built with comprehensive error handling and alerting for when things go off-track.
Combined systems
Architectures where multiple agents work together — one handles intake and classification, another does research, a third drafts output, and a human reviews the final result. Multi-agent systems that coordinate through shared state and well-defined handoff points.
Agent design and scoping
Before writing any code, I work with you to define exactly what the agent should do, what tools it needs, what data it accesses, what decisions it can make autonomously, and where humans stay in the loop. Clear scoping prevents scope creep and wasted effort.
Testing and validation
Systematic testing across representative scenarios, edge cases, and adversarial inputs. I validate that agents behave correctly, stay within their defined scope, handle errors gracefully, and produce consistent, reliable outputs before they go into production.
Production deployment
Getting an agent from prototype to production includes containerisation, monitoring, logging, alerting, and documentation. I deploy agents so they can be maintained, updated, and debugged by your team — not just by me.
Have a task that should be automated?
Describe the work you want an agent to handle. I'll assess feasibility and design the right system.