·12 min read·Medium
Building Your First MCP Server: A Practical Developer's Guide
From design to production — the patterns that actually work when building a Model Context Protocol server for AI agents.
Read article →AI Agent Architecture · Automation · Security
We architect agentic systems that actually ship.
Circuit Logic Labs helps teams design AI agents, automate the repetitive work that slows them down, and build systems that are secure by design — not by afterthought.
15+
Years architecting production systems across startups and enterprise.
Security-first
Every system we design treats security as a foundation, not a bolt-on.
Shipping
We care about agents that run in production — not ones that only work in a demo.
What We Do
From idea to production agent
We help teams navigate the messy middle between an exciting AI demo and a system you can actually trust with real work.
Agentic System Design
Architect AI agents that do real work — not demos. We design the orchestration, memory, tool use, and guardrails your agents need to run safely in production.
Automation of Repetitive Work
The tasks your team does every week — the reports, the data cleanup, the hand-offs between systems — we turn them into reliable automations that run themselves.
Secure System Architecture
Security is not a feature you add later. We design systems where identity, secrets, data boundaries, and audit trails are first-class concerns from day one.
Why Work With Us
Experienced architects, not hype-chasers.
AI changes every week. The fundamentals don't. We've spent more than a decade designing production systems where correctness, security, and maintainability are non-negotiable — and we bring that same discipline to agentic systems.
You'll work with someone who has actually shipped the kind of system you're trying to build — not a team of juniors learning on your budget.
Security by design
Threat modelling, least-privilege access, and audit trails are part of the spec — not patched in after launch.
Real production experience
We’ve operated systems at scale. We know what breaks at 3am and we design to avoid it.
Architectural clarity
We write specs you can reason about, not buzzword soup. Your team will understand the system after we leave.
From the Blog
Notes on building agentic systems
We write about the architectural patterns, pitfalls, and practical lessons we run into while designing AI-driven systems.
·9 min read·Medium
Spec-Driven Development: From History to Modern AI Workflows
Why the old idea of specification-first development is having a renaissance in the age of AI coding agents — and how to apply it to your own workflow.
Read article →·10 min read·Medium
OpenClaw: The AI Agent That Burns Through Your API Budget (and How to Fix It)
A deep look at why autonomous agents run up shocking API bills — and the architectural patterns that keep cost predictable without sacrificing capability.
Read article →Have an automation or AI project you want to get right?
We're taking on a small number of engagements. If you're thinking about an agent or automation project and want experienced architects in the room, let's talk.
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