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As a developer myself I like to think what I'd do if I work for Google. I have this theory that Google is able to identify AI platform web agents. When they see a web agent search they tweak the serp results inserting a specific phrase or topic in hopes the AI picks that up and uses it to write...

Yeah I pay taxes. When I was younger I would try to side step them sometimes but I don't anymore now that I have cease-able asset's lol

Good Journey! I'm also trying to get more leads for my tech company. We just installed "Snitcher" pixel tracker on your website to try to accomplish that. Snitcher is able to identify the user via cookies (if they logged into LinkedIn or using a company IP address) and capture their contact info...

I have a masters in computer science, I'm currently a data engineer so I am using my degree. I know and understand a lot of the nuts and bolts of AI and data because of that I have been considering getting a degree in statistics/math so I can sell myself a little more.

Ollama and a RTX 5090 running deep seek R1. Helpful when clients require a NDA but want to use AI.

I work in data related services for almost 10 years now. SQL has always been the top dog but pyspark/python are becoming very prominent in data now a days.

I have a rubber ducky on my desk that when I overthink or need to talk through a problem I explain it to it. Great developer technique I learned 10 years ago.

I have multiple prompt templates. The large context window just lets me add maybe put 3 prompts into one request. That gives it more info at once to think about.

From a page speed/hosting standpoint I've found static html pages are super fast and you can host for free in some places. For interlinking I found the best way to do that is produce all the articles at once so you can figure out pillars, silos, and interlinking in one shot.

I could be wrong but with OpenAI I think the newer "response" instead of the "chat completion" API is able to web search and has much better thinking. Developing with it is a little more complex so most people just use the chat completion because it easy.

Really good info here! I plan on developing my own CTR system after if finish up my article generation system. Thanks for sharing!

I'm working towards a V8 version of my program now. The way I am handling the LSI and keyword density is by using firecrawl to load a competitors page contents then using pytourch sentence transforms to get keywords. That's only one little piece of what I'm doing to create an article.

Yeah if you are generating a article with a single prompt it won't be that good. I see a lot of people using n8n to create AI workflows. The more you are able to give AI to guide that article the better. And with gpt-5.4 having a 1m+ context window that is great for some really well written...

Welcome! I'm a data engineer by trade so I enjoy seeing similar professions join the forum. Data analyst is a great skill set now a days, learn some of the marketing skills here and you can make a decent amount of money as a freelancer.

I do data service consulting. A lot of organizations are trying to add AI on top of their data (which is messy/ungoverned) and it produces bad results. It's lucrative because orgs have a lot of budget to meet a AI deadline but only have "The CEO said we need to use AI" so they don't have much...

Good luck! I plan on starting a similar journey soon. I'm writing a program from scratch to automate a lot of the steps. I would recommend using a serp API to get potential keywords. End goal is to use Google search console API to feed back new keywords I start ranking for and determine if a...

AI is a tool, it can be used to help coding a lot. It doesn't replace knowing how to code just speeds it up. Its great at documenting too. My rule of thumb is I always being 60% of handwritten logic (usually API requests/data logic for me) so AI understands what I'm trying to do.

I have been using Claude to generate outlines then gpt-5.2 to write the articles.

I'm working on a program now with only a niche input it creates seed, LSI, and long tail keywords. Organizes them into a optimized site structure. Get serp stats and then use that to create a outline. I have only gotten this far have not tracked the actual article writing yet but the outline is...

I am very interested in this. I am currently a data/deployment engineer but come from a scraping and SEO automation background. Reviewed the redacted sample PDF and it makes a lot of sense with good structure. I never dabbled in gray/black hat SEO are their any plans to add a chapter/section...