Digital Strategy, Content, and AI Since 2009
Good posts still go unread, and HAIA-SMART Copy shows the author why.
HAIA-SMART Copy is a free prompt that scores social media copy across six pillars for 30 points, revises it, and holds all output until the author approves. It then writes native text for eight platforms, and the full tool runs in the post with a PDF and a .md file.
Every AI visual looks the same, and HAIA-SMART Creative gives the image a job.
HAIA-SMART Creative is a free prompt that evaluates the images, infographics, and carousels an author already has and writes paste-ready prompts for the visuals the author needs. It ties every visual to its post through the Visual Hook Rule, and the full tool runs in the post with a PDF and a .md file.
Most content review checks the wrapper. Content Optimization Reader Evaluation checks the argument, the evidence, and whether anyone directed the prose.
A rubric that scores an article on substance is only useful if it stops when something is wrong. CORE scores six pillars, holds the run when a pillar fails or a source does not support its claim, and hands the decision to a person. The full prompt is included.
An article can be finished and still be two hours from published.
The gap between the two is where headings flatten, image paths break, and schema blocks ship with placeholders still in them. HAIA-WOPPA closes it. One finished article in, two documents out: every metadata field in its own copy block, and a body that takes one paste. The full tool is included.
Upload a forty-page paper to NotebookLM and two enthusiastic hosts talk for twelve minutes about something that sounds like the back cover. Upload a tweet thread and you get the same twelve minutes in the same register. The tool is not shallow. It is unguided, and the guidance field is a box most people leave empty.
HAIA-MOON is the production direction that fills it. It turns a finished paper into three NotebookLM outputs, a cinematic video, a deep dive audio episode, and an infographic, and it carries the platform facts nobody documents in one place. The 500-character cap that silently truncates the runtime instruction. The video that ends at the last spoken word. The three formats that cannot be edited after generation.
Most of the market is selling AI SEO tricks. The real shift is governance: being found, cited, and represented accurately inside AI answers, with a named human accountable for each correction. SEO is the floor, not the finish line.
The agentic AI era promised to replace humans with autonomous systems. The evidence shows it failed on two fronts: the technology cannot reliably do what it promised, and the public is rejecting the premise even where it partially works. This paper introduces the Named-Human Test, a single sorting question that separates what failed from what survives, and traces that line across production benchmarks, supermajority polling, enacted law, and frontier-lab disclosures.
In 2009, a blog post about social media. Today, over twenty white papers, three published books with two more pending, and the operating architecture for human-AI collaboration that the industry is still figuring out how to build. This past week, after publishing post 1001, I noticed basilpuglisi.com had crossed one thousand published articles. A thousand […]
The Name Given to the Ecosystem for Human-AI Collaboration (PDF) What It Is, Why It Exists, Where It Comes From Executive Summary HAIA stands for Human Artificial Intelligence Assistant. It is the ecosystem that structures a human’s interaction with AI, specifically with large language models, across every stage of collaboration: how the AI is instructed, […]
Human oversight is the phrase everyone uses, and almost nobody defines what it requires. Checkpoint-Based Governance sets four conditions that separate a human who reviewed from a human who decided, and it puts that difference in the record. Read what a checkpoint has to do to count.
