Plain-English guides and production standards on working with AI, governed automation, specifications, grounding and evaluation, search visibility, and the craft behind the work. Most articles read online in a few minutes. A few reference documents are a direct download.
Prompting, context, and reasoning: how to ask an AI system for what you actually need.
A plain-English guide to prompt engineering: the four things every clear AI instruction names, and why vague instructions produce vague output.
After reading itYou will know the four parts of an effective instruction (role, context, task, format) and how to turn a vague ask into a precise one.
An introduction to context engineering: what background information actually changes an AI system’s output, and what to leave out.
After reading itYou will be able to assemble scoped, current context for a task and recognize the signs that an assistant is missing it.
A practitioner guide to few-shot prompting (in-context learning): teaching an AI system your standard by showing it examples instead of describing rules.
After reading itYou will know how to pick examples that cover the real range, when to show versus describe, and when an explicit rule is still required.
When asking an AI system to reason step by step improves the answer, and when it just adds noise.
After reading itYou will know when chain-of-thought prompting helps, when to skip it, and how to pair it with staged planning.
Deciding what to build, and writing it down clearly, before anything gets built.
The five questions to answer before starting any project, AI-assisted or not, so you do not build the wrong thing well.
After reading itYou will have a one-page template and five questions to answer before you write a prompt, hire help, or open a tool.
How to write a specification an AI coding tool, or a developer, can build from without guessing.
After reading itYou will be able to write scope, non-goals, a glossary, testable acceptance criteria, and a rollback plan.
The five things a clear task brief always includes, whether you delegate to an AI agent or a new hire.
After reading itYou will be able to write a brief with objective, scope, acceptance, verification, and constraints.
How AI can move fast while a person keeps the approval boundary.
The mechanism that lets AI move fast without moving recklessly: a defined point where nothing executes until a person says yes.
After reading itYou will understand human-in-the-loop versus human-on-the-loop, and where to place an approval gate.
Getting AI to answer from real data, and proving the answer is good.
How an AI assistant can answer from your actual records instead of guessing, using retrieval-augmented generation (RAG) and grounding.
After reading itYou will understand how retrieval, grounding, and permissioned access keep an assistant’s answers accurate and safe.
Why "it looks done" and "it is verified" are different claims, and how to close the gap with evaluation.
After reading itYou will have a minimal evaluation checklist and the no-green-no-ship rule for AI-assisted work.
A repeatable generate, critique, refine loop for turning a rough AI draft into a client-ready one.
After reading itYou will be able to run a fixed-pass refinement loop with a defined exit instead of endless tinkering.
The craft standards behind production software, design systems, and web platforms.
The engineering standard for production systems: strict typing, security boundaries, resilience patterns, and observability, each tied to a named rule.
After reading itYou will be able to check a vendor, contractor, or your own team’s code against a concrete, named set of engineering standards instead of a general impression.
An operating doctrine for structuring a Figma workspace for AI-assisted site generation: file organization, component hierarchy, and a design-control pipeline.
After reading itYou will be able to set up a Figma workspace with the same source-of-truth structure used in production client work.
A design-systems reference for building responsive, fluid layouts that hold up across breakpoints and platforms.
After reading itYou will have a reference for fluid scale, breakpoint strategy, and cross-platform consistency you can apply directly to a design system.
An operating system for keeping design consistent across web, print, and social channels, from token definitions to channel-specific adaptation rules.
After reading itYou will be able to define one set of design tokens and adapt them consistently instead of rebuilding each channel from scratch.
An operating doctrine for who owns design intent through a build, from Figma through Penpot and Canva, so intent does not get lost at handoff.
After reading itYou will have clear ownership rules for design intent that survive a handoff between design tools and a build team.
A technical specification for a headless CMS core platform: architecture, integration points, and platform decisions.
After reading itYou will have a concrete technical specification to compare against your own headless CMS architecture decisions.
A standard operating procedure for building WordPress pages block-first in Gutenberg, without falling back to raw HTML or page builders.
After reading itYou will have a repeatable process for building Gutenberg pages that stay editable and maintainable.
A step-by-step standard operating procedure for creating a new WordPress page in Gutenberg, from a blank canvas to a published, styled page.
After reading itYou will be able to create a new page following the same checklist used in production WordPress builds.
A standards document defining what separates a premium WordPress theme from a commodity one: performance, accessibility, and block-editor support.
After reading itYou will have a checklist for judging whether a WordPress theme meets a premium standard before you build on it or buy it.
A standards document for building Chrome extensions: manifest structure, permission scoping, and update practices.
After reading itYou will have a standards checklist to apply to a new or existing Chrome extension before shipping it.
Being found and cited by search engines and AI answer engines (AEO and GEO).
A practical playbook on ranking in Google Search and in AI answer engines (AI Overviews, ChatGPT search) in 2026, grounded in published platform guidance.
After reading itYou will know which technical and content practices matter for AI discovery, and which ones are noise.
A complete operating guide to building a Google Business Profile: every profile field, photo and post standards, and a publishing workflow.
After reading itYou will be able to fill out and maintain a Google Business Profile complete enough to compete in local search.
AI assistants over your real data, workflow copilots, and automated reporting.
A research-backed playbook for selling AI automation consulting services, built on buyer trust, buyer confidence, and easy next steps rather than pressure tactics.
After reading itYou will have a repeatable framework for smaller next-step asks, buyer trust signals, and objection handling specific to AI automation engagements.
A product bible for operating a social media MCP (Model Context Protocol) tool: scope, workflows, and governance for AI-assisted social operations.
After reading itYou will understand the operating model for a governed, AI-assisted social media tool, from scope to workflow.
Documenting a voice and writing so an AI assistant or a new hire can follow it.
A done-for-you outbound email system: a subject-line bank, English and Spanish templates, and the sequencing behind a first-contact email that earns a reply.
After reading itYou will have ready-to-send email templates and a subject-line bank you can adapt to your own offer.
A repeatable method for turning "write like me" into rules an AI assistant, or a new hire, can actually follow.
After reading itYou will know what belongs in a voice profile, how to route it by context, and how to keep it current.
The library keeps growing.
5 deeper, practitioner-level articles are on the way as paid content. Each one is marked Coming soon above. Use the notify action on any of them and we will let you know the moment it is available.