1. Agent Design & Architecture
I help teams design agents that are actually usable in real systems, not just demos.
I bring 15+ years of experience across product engineering, entrepreneurship, and enterprise architecture. Since 2025, I've been focused on designing, evaluating, and operationalising AI agents in real-world systems.
I work with teams that are moving beyond demos into production.
How I Typically Engage
I help teams design agents that are actually usable in real systems, not just demos.
Agents are only as good as the systems they connect to.
This is where most teams struggle, and where I spend a lot of time.
This is critical because agents are non-deterministic systems and need continuous evaluation, not just QA.
Getting agents to work once is easy.
Getting them to work reliably in production is the real problem.
In practice, most production agents rely on simple, controlled workflows with strong monitoring, not complexity.
Latest Writing
A practical incident-response walkthrough: exact-version scanning, temp-directory false positives, and the guardrails I added for npm and uv.
If you are building agents seriously, you should at least know how to diagnose them.
Why prompt caching is critical to your enterprise AI adoption
Why agent systems outgrow stateless request-response functions and push teams toward durable execution, memory, and long-lived workflows.
Not every problem needs an autonomous agent. Sometimes orchestration is all you need.