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Field notes on AI engineering.

Practical writing from real engagements. No churnalism, no hot takes, just what we'd tell a friend at the table.

MCP

MCP is now how agents reach your systems

MCP
8 min read

MCP is now how agents reach your systems

The Model Context Protocol went from Anthropic side project to Linux Foundation standard with over 10,000 public servers. What the new stateless spec and enterprise auth mean for your stack.

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Agentic AI

Context engineering beat prompt engineering

Agentic AI
7 min read

Context engineering beat prompt engineering

The defining AI skill of 2026 is not writing clever prompts. It is architecting what the model sees: memory, retrieval, tools, and state, delivered at the right moment.

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Agentic AI

Computer-use agents are ready for narrow work

Agentic AI
6 min read

Computer-use agents are ready for narrow work

Agents that drive a real screen now clear 85 percent on OS-level benchmarks. That is good enough for the ugly middle of enterprise work, if you scope them honestly.

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AI Strategy

Why Businesses Need Production-Ready AI, Not Just Demos

AI Strategy
7 min read

Why Businesses Need Production-Ready AI, Not Just Demos

A polished demo means almost nothing. A production AI system means architecture, eval, observability, and a rollback path. Here's the difference, and why it matters for ROI.

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Agentic AI

How Agentic AI Is Quietly Rewiring Business Automation

Agentic AI
9 min read

How Agentic AI Is Quietly Rewiring Business Automation

Single-prompt chatbots are giving way to agents that take real actions across CRMs, helpdesks, and back-office tools. Where it works, where it doesn't, and how to design it safely.

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RAG

RAG for enterprise knowledge search: what actually works

RAG
8 min read

RAG for enterprise knowledge search: what actually works

Vector databases are not magic. Real enterprise RAG needs hybrid retrieval, re-rankers, and a measurable eval suite. A field guide from real deployments.

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Voice AI

Voice AI for Call Centers and Customer Support

Voice AI
6 min read

Voice AI for Call Centers and Customer Support

Modern voice agents can handle real conversations on phone lines. The trick is sub-second latency, strict guardrails, and smart escalation.

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MLOps

MLOps & Observability for LLM Systems

MLOps
10 min read

MLOps & Observability for LLM Systems

Traditional MLOps tooling under-serves LLM workloads. Langfuse, LangSmith and prompt-level evals are the new observability stack.

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Product

How to Build an AI MVP Safely and Efficiently

Product
7 min read

How to Build an AI MVP Safely and Efficiently

A 6–10 week recipe for going from idea to a deployable AI MVP without the usual sprawl, scope creep, and demo-only deliverables.

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Strategy

An AI Product Development Roadmap for Startups

Strategy
8 min read

An AI Product Development Roadmap for Startups

Startups don't have time to play AI lab. Here's a pragmatic 6-month roadmap that balances learning, shipping, and not burning your runway.

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Edge AI

Edge AI: when the cloud isn't fast or private enough

Edge AI
6 min read

Edge AI: when the cloud isn't fast or private enough

Latency, privacy, and offline use-cases push models out of the cloud. A practical guide to quantization, on-device inference, and hybrid routing.

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