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.
Hiring me for Agent Development
A focused agent for one task in your business, with the right level of autonomy, tested on real cases before it goes live.
Who it's for
- Teams with a well-defined task that takes judgement and eats hours
- Processes where a person should approve before the agent acts
- Back-end jobs that could run unattended with logging and alerts
- Teams whose agent prototype isn't reliable enough for production
What you get
- A production agent (human-in-the-loop, autonomous or combined)
- Tool and MCP integrations to the systems it uses
- A test set of real cases and the results against it
- Approvals, guardrails and logging
- Deployment and handover documentation; you own the code
What I need from you
- A clear description of the task and examples of it done well
- Access to the systems the agent will read from and act on
- Decisions on what the agent may do without approval
- A process owner for questions and testing
How it runs
Typically 10–14 weeks for a new agent system.
- Weeks 1–2
Scope
Define the task, inputs, actions and where a person stays in the loop.
- Weeks 2–3
Design
Agent architecture, tools, model choice and failure handling.
- Weeks 3–10
Build and test
Build against real cases; iterate until it holds up.
- Weeks 10–14
Deploy
Production rollout with monitoring, then handover.
For a focused pilot agent. Full agent systems are scoped after a review and paid against milestones.