Writing

Ideas worked through carefully.

Technical explanations, research notes, and lessons from independent experiments. Each piece is reviewed for sources, originality, and limitations before publication.

A stable four-layer marketing data spine with small replaceable technology modules connected at the edges, surrounded by measurement and human-approval checkpoints.

Writing

Sustainable Marketing Technology Stack for B2B Teams

Build a sustainable martech stack with a stable data spine, replaceable tools, a 90-day workflow, carbon evidence, and human approval controls.

2026

Writing

Google Ads in 2026: An AI-Native Shift for Marketers

Discover the major Google Ads changes by 2026, including AI Max, Demand Gen, Asset Studio, Ask Advisor, and new measurement. Learn how AI orchestration impacts search, creative, and bidding, and get a 90-day plan to prepare your campaigns.

2026

Editorial illustration of a cursor arrow with a price tag beside a grid of impressions, contrasting CPC and CPM

Writing

CPC vs CPM: which ad pricing model should you use?

CPC prices clicks, CPM prices impressions — and they're linked by click-through rate. Here's how to read each, how they connect, and when to choose which.

2026

Editorial illustration of a magnet attracting dots beside a megaphone broadcasting arrows, contrasting inbound and outbound marketing

Writing

Inbound vs outbound marketing: attract or reach out?

Inbound earns attention by being findable; outbound buys or initiates it. Here's how they differ, where each fits, and why most programs need both.

2026

Editorial illustration of one model box retrieving a document from a shelf and another with reshaped internal gears, contrasting RAG and fine-tuning

Writing

RAG vs fine-tuning: how to add knowledge to an LLM

RAG gives a model knowledge at query time; fine-tuning bakes behavior in during training. They solve different problems — here's how to tell which you need.

2026

Editorial illustration of a growing plant beside a coin dropping into a slot, contrasting organic and paid search

Writing

SEO vs SEM: what's the difference, and when each wins

SEM is the umbrella; SEO is one part of it. Here's how the terms actually relate, what each costs, and how to choose between earning traffic and buying it.

2026

Eight Next.js route variants flow into separate raw HTML, rendered DOM and metadata evidence lanes, followed by a human approval gate.

Writing

What AI Crawlers See in Next.js: 8-Route Lab

Measure initial HTML, streamed metadata and rendered DOM across eight Next.js App Router routes and selected AI crawler user agents.

2026

A neutral laboratory balance compares paired text cards while five controlled variables—order, length, style, citations, and correctness—feed into a calibration gauge.

Writing

Can You Trust Your LLM Judge? A Calibration Lab

Test an LLM judge for order, verbosity, format, citation, and correctness bias using blinded human labels, swap tests, confusion matrices, and bootstrap intervals.

2026

Editorial illustration of a circular loop of connected nodes with tool icons, representing an agent loop

Writing

How to build an AI agent that actually works

An AI agent is a loop, not a prompt: a model, a set of tools, and a stopping rule. Here is the architecture that holds up in production — and the failure modes that sink most first attempts.

2026

Editorial illustration of overlapping signal waves converging, representing marketing mix modeling

Writing

Marketing mix modeling, explained for practitioners

As tracking-based attribution erodes, marketing mix modeling is having a second life. Here is what MMM does, how it differs from attribution, and where it helps and misleads.

2026

Editorial illustration of layered strata with a thin fresh top layer, representing a cached prompt prefix

Writing

Prompt caching, explained: the cheapest way to cut LLM costs

If your prompts share a long, stable prefix — a system prompt, a document, a tool schema — prompt caching can cut input costs dramatically. Here is how it works and when it pays off.

2026

Editorial illustration of a grid of a thousand small squares with one highlighted in green

Writing

What is CPM? The cost-per-thousand metric, and what it hides

CPM is the price of a thousand impressions — the base unit of media buying. Here is how it is calculated, how it connects to CPC and CPA, and why a low CPM can still be expensive.

2026

Editorial illustration of two laboratory flasks filled to slightly different levels

Writing

A/B testing without fooling yourself

Most failed experiments are not wrong tests — they are tests read wrongly. Sample size before you start, significance the right way, and the peeking trap that manufactures winners out of noise.

2026

Editorial illustration of a balance scale weighing a stack of coins against a rising profit line

Writing

ROAS vs ROI: the break-even math most advertisers get wrong

A high ROAS can still lose money. Here is the break-even math that turns an abstract ratio into a clear profit-or-loss line — and why margin, not a benchmark, decides what 'good' means.

2026

Editorial illustration of blocks spiraling outward and growing, representing compounding agent costs

Writing

What it actually costs to run an AI agent

AI agent costs do not scale linearly with steps — they compound, because every step re-sends the whole conversation. Here is the mental model, the math, and the three levers that keep the bill sane.

2026