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AI Engineering Articles, Page 3
From the review desk
Production AI systems: inference and serving, retrieval, agents, evaluation and AI security, multimodal and edge pipelines, and AI-native product architecture.
Articles, page 3
Model Context Protocol in Production
Designing MCP servers, capability discovery, authorization, transport, schemas, and observability for real agent ecosystems.
Edge LLM Inference: Designing for the Device
Quantization, memory, thermal budgets, runtimes, privacy, and hybrid execution for useful models on constrained hardware.
AI Data Flywheels Without Feedback Pollution
Turning product use into better data through instrumentation, review, provenance, counterfactuals, and controlled training loops.
AI Product UX for Systems That Can Be Wrong
Designing intent, progress, evidence, editing, confirmation, and recovery so capability becomes trustworthy product behavior.
Production AI Architecture in Laravel and PHP
Queues, streaming, typed provider boundaries, retrieval, tool execution, and observability for durable AI features in Laravel.
In the age of AI
The advantage was never the model. It's knowing what to build with it — and having a team that can actually ship it.
That's the part I help with: finding where AI genuinely makes your business faster, deciding what's worth building, and standing behind it once it's live.
Four offices, one very full passport
Every dot on this map is a conversation I still remember.
- Where I've spoken
- Office
