MonoClick

The blog

Field notes.

How we build AI systems for ecommerce brands, grounded support systems, context engineering, and content pipelines that ship from the terminal. No fluff, just what actually works.

An ecommerce founder at a sunny beachside cafe analyzing social-media ad creatives on a laptop and phone, notebook and coffee on the table.
AI Creative8 min read

The AI creative agent: feed it your Meta history, Reddit, and your competitors’ winning ads

The hardest part of paid social is not spending. It is knowing what to make next. An AI creative agent answers that by grounding itself in three data sources: your own Meta ads history, the unfiltered voice of your market on Reddit, and the ads your competitors cannot stop running.

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An ecommerce founder at a sunlit wooden desk calmly organizing colorful reference cards and a binder beside a laptop, building a knowledge system.
Context Engineering9 min read

How Cerebras built its AI knowledge base, and what every ecommerce brand should steal from it

A frontier AI company just published the architecture behind its internal “company brain”: 15,000 questions a day, answered from Slack, docs, and code. Buried in the engineering detail is a blueprint for the knowledge base behind an ecommerce support agent. Here is what transfers.

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A young ecommerce founder working on a laptop at an open-air tropical cafe in Bali, surrounded by palm trees and warm golden light.
Content & Workflow7 min read

Higgsfield × Claude Code: generate on-brand content from your terminal

Connect the Higgsfield MCP to Claude Code and you can brief, generate, and drop image and video assets straight into your codebase, the same workflow that produced the cover art on this blog.

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An ecommerce founder writing notes in a notebook beside a laptop and a cup of coffee at a sunlit desk, building a support knowledge base.
Context Engineering8 min read

Karpathy's wiki idea: write your support knowledge for the model, not the human

Andrej Karpathy popularised the shift from prompt engineering to context engineering. For an ecommerce support agent, that means one thing: a curated, model-legible wiki is the highest-leverage asset you own.

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A smiling ecommerce founder on the phone at a laptop, surrounded by shipping boxes and colorful product samples in a bright, plant-filled studio.
AI Support9 min read

RAG, explained: how an AI support agent actually knows your store

Retrieval-augmented generation is what separates a support agent that quotes your real returns policy from one that invents a plausible-sounding one. Here is how it works, and how we build it for ecommerce.

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