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π‘ "What if I was to build it now?" - Rethinking Development in the Age of AI and Low-Code Tools π
I've been developing for 25 years, building solutions for companies like Pfizer down to one-person startups. A lot has changed since the days I could just reach for Laravel for every web project. Today, with breakthroughs in AI and tools like Supermavin, ChatGPT, N8N.io, and more, I've had to step back and ask myself: What are the right tools for the job now?
No longer is it just Laravel, but often it's Laravel + N8N + low-code magic. It's about rethinking how I solve problemsβlike a recent opt-out system that took days to code in Laravel but could now be spun up in hours with N8N.
Join me as I dive into:
How my approach to building systems has evolved
The cost, time, and complexity differences between yesterdayβs and todayβs methods
How tools like Bolt.new, Cursor.ai, and FlutterFlow have become essential parts of my development toolbox
Discover how I've embraced new superpowers, reducing overhead, maintenance, and making projects more efficient. π¦ΈββοΈ
Read the full article here: https://alnutile.medium.com/what-if-i-was-to-build-it-now-1af988c57f22
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
π‘ "What if I was to build it now?" - Rethinking Development in the Age of AI and Low-Code Tools π
I've been developing for 25 years, building solutions for companies like Pfizer down to one-person startups. A lot has changed since the days I could just reach for Laravel for every web project. Today, with breakthroughs in AI and tools like Supermavin, ChatGPT, N8N.io, and more, I've had to step back and ask myself: What are the right tools for the job now?
No longer is it just Laravel, but often it's Laravel + N8N + low-code magic. It's about rethinking how I solve problemsβlike a recent opt-out system that took days to code in Laravel but could now be spun up in hours with N8N.
Join me as I dive into:
How my approach to building systems has evolved
The cost, time, and complexity differences between yesterdayβs and todayβs methods
How tools like Bolt.new, Cursor.ai, and FlutterFlow have become essential parts of my development toolbox
Discover how I've embraced new superpowers, reducing overhead, maintenance, and making projects more efficient. π¦ΈββοΈ
Read the full article here: https://alnutile.medium.com/what-if-i-was-to-build-it-now-1af988c57f22
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
From the "PHP and LLMs" book, βAgnosticβ that Notebook LM will talk about the "Pasted Notes" as the call it.
SummaryThis chapter will be about agnostic tools. I've already covered tools in the Tools Overview chapter and agnostic drivers in the Agnostic Driver chapter. However, I want to examine how these work and why it is important to use an agnostic system.
By the end of this chapter, you will understand how hard it is to switch between the most different systems, such as OpenAi and Claude. We will then see how important it is to fall back quickly to the other Tool when one system is down or having a moment. With that in mind, using Ollama locally (see the chapter on Local LLMs), you can then use that for all your local development and save some money!
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://sundance-solutions.mailcoach.app/php-and-llms
π° Join the news letter https://sundance-solutions.mailcoach.app/php-and-llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
From the "PHP and LLMs" book, βStandards Checkingβ that Notebook LM will talk about. This is a deceiving title since this pattern can be use for so many other workflows like Grant Writing, RFP Proposals, Marketing Voice, Related Content Checking an more!
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://sundance-solutions.mailcoach.app/php-and-llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
Here is the summary of the Chapter from NoteBookLM
Marketing Assistant and Other AutomationsThis excerpt from the book "marketing_assistant.md" describes how to build an AI-powered marketing assistant using Laravel, an open-source PHP framework, and n8n.io, an automation tool for connecting services. The book focuses on concepts rather than code, and the author uses the example of a marketing campaign for a new book to illustrate the process. The system relies on prompts and scheduling features to automate tasks, generate responses, and collect feedback, all while providing a chat interface for user interaction. This system can be used for various tasks like scheduling, email management, and even gathering data from sources like LinkedIn Ads, Amazon Reviews, and Medium traffic.
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Join the NewsLetter https://sundance-solutions.mailcoach.app/php-and-llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
Today, we're diving into the world of AI-powered chat systems using OpenAI's Assistant API. We'll explore how PHP developers can leverage this technology to create context-rich conversations, manage threads, and handle file uploads. From setting up an AI assistant to implementing real-time updates, we'll cover the key steps to build a sophisticated chat application that can understand and respond to user queries with depth and precision.
Original article is https://medium.com/@alnutile/php-and-open-ai-assistant-threads-file-upload-and-messaging-eb19e144edee
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Join the NewsLetter https://sundance-solutions.mailcoach.app/php-and-llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
This is out of the book "PHP and LLMs". https://bit.ly/php_llms
Scraping the web for data can feel like wrestling with a tangled mess of HTML. But what if you could skip the wrestling match and have a powerful AI assistant do the heavy lifting for you?
On today's episode, we're exploring how Large Language Models are transforming the web scraping game.
We'll unpack how LLMs, combined with cleverly designed tools, can intelligently extract and structure data from websites, all without you needing to become an HTML parsing expert. **
The original article is https://alnutile.medium.com/php-and-llms-web-scraping-and-building-an-events-database-f2f8fe1b3f5d
Enjoy!
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
ππ» Join the NewsLetter https://sundance-solutions.mailcoach.app/php-and-llms
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
This is the start of 10 part series as the "PHP and LLMs" book uses NotebookLm to create discussions around each chapter.
These episodes are created using https://notebooklm.google.com/
This is one of the most critical chapters in the book. If you understand the concept of tools and tool chaining, you will see significant changes in how you build applications. It is almost like "Event Driven Design" but "Tool Driven Design" (TDD π€).
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
This is the start of 10 part series as the "PHP and LLMs" book uses NotebookLm to create discussions around each chapter.
These episodes are created using https://notebooklm.google.com/
Eight years ago, I did a Machine Learning and PHP video on YouTube, and it is still my most popular video. Back then, AWS made a service that started to make "Machine Learning" easy to host and create APIs around. For some reason, the potential to use this API to parse sentiment or tag content got my attention. But quickly, it faded because I still needed to know Machine Learning. I still needed to train models to do specific tasks.
But then, as we all know, OpenAI released an API that we could use like any API and get results. No training unless I wanted to and no Machine Learning expertise β- just read the docs and throw your prompt at it. It was then that I realized that this could make my work more accessible and allow me to create things for myself and customers I could not even imagine doing before.
About two years ago, I heard about LangChain, a Python framework that enabled developers to build LLM-centric workflows and automation. It honestly got me worried.
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
This is the start of 10 part series as the "PHP and LLMs" book uses NotebookLm to create discussions around each chapter.
These episodes are created using https://notebooklm.google.com/
Prompting is the key to unlocking the power of Large Language Models (LLMs) in your PHP applications. It's the language we use to communicate with AI, enabling our code to leverage advanced natural language processing for tasks ranging from content generation to complex data analysis. By mastering prompting, you'll be able to create more intelligent, flexible, and powerful PHP applications that can adapt to user needs and evolve with advancing AI capabilities.
About the bookThis book is a practical guide for PHP developers navigating the rapidly evolving landscape of Large Language Models (LLMs). Moving beyond the hype, it delves into real-world applications and solutions, providing step-by-step instructions on how to integrate LLMs into your existing projects.
From mastering prompts to building reusable tools and working with various LLMs, this book equips you with the skills needed to leverage the power of Ai in everyday development tasks.
Whether youβre looking to automate complex workflows, enhance content verification, or simply stay ahead in a changing industry, this book offers the insights and hands-on examples to get you there. This isnβt just another βHello Worldβ guideβitβs a deep dive into the future of PHP development, focusing on real solutions that drive real results.
Transcription at https://docs.google.com/document/d/1qCQsKcK0BaOJFyiep24A8rVfLiFSd5-SWwQpTLkVMwE/edit?usp=sharing
ππ» Ai Automation Consulting https://dailyai.studio
ππ» Join the NewsLetter https://videos.dailyai.studio/
ππ» Buy the book "PHP and LLMs - the practical guide" https://bit.ly/php_llms
Β
From the publisher's feed