Discover how vibe coding empowers me to create custom PPC tools quickly using intuitive AI prompts instead of traditional coding techniques.
I now find myself able to generate custom PPC tools using plain English, thanks to GPT-5. It’s a game-changer, giving a competitive edge to those who embrace AI-assisted automation.
Frederick Vallaeys, who has built tools in mere minutes instead of months, is leading the way with AI. He has ten years of experience at Google creating invaluable tools like the Google Ads Editor and another decade at Optmyzr as CEO.
Vallaeys has witnessed the evolution of automation firsthand, and vibe coding is the next giant leap. At SMX Next 2025, he shared his personal journey with vibe coding.
If you’re involved in PPC, automation is crucially important. Initially, I relied heavily on Google Ads scripts because there was always more work than could be done in a day.
The problem arises when Vallaeys questions who truly writes their scripts. Only a few people raise their hands, as most often copy and paste due to lack of coding skills.
This results in limitations, confining you to what others have crafted instead of adding your personal flair.
GPT revolutionized scriptwriting for those without coding skills.
The best part lies in large language models being multimodal. Now, a simple photo of my campaign decision flowchart can be deciphered by AI to generate a complete Google Ads script.
Instead of viewing client meetings as additional work, I’ve embraced them as opportunities for prompt-engineering sessions.
Changing my mindset allowed me to treat these meetings as prompt instructions for AI, simplifying task execution.
Instead of delving into code, I merely describe my desired outcome, and AI takes care of the technical side. That’s vibe coding for you!
Imagine needing software to perform functions X, Y, and Z. Detail your needs to a coding tool, and watch as it constructs the software. Vallaeys describes this process as mind-blowing.
Scripts have become outdated; vibe coding is the way forward.
Vallaeys demonstrated the effectiveness of this method by requesting a persona scorer for an ad tailored to various audiences from Lovable. The result was rapid and precise.
Working collaboratively with it, akin to a human developer, you describe needed changes without ever touching code.
The automation framework traditionally targeted tasks ranging from frequent, quick activities to extensive, periodic ones. Vallaeys recommends not limiting automation to what’s already being done, but rather considering what you wish to do more often, making time-consuming tasks manageable.
The old method was slow, taking at least a month to launch anything.
I used to spend days compiling specifications, waiting for engineers to build, finding bugs, organizing meetings, and repeating the cycle.
Traditional code was deterministic, relying purely on if/then logic. While reliable, it struggles with nuanced actions, like identifying competitor terms. Encompassing every variation of competitor keywords was virtually impossible.
Sam Altman’s launch of GPT-5 heralded a new era of on-demand software generation, transitioning beyond software-as-a-service.
Tapping into this new approach takes just minutes, from writing a spec to letting AI build and refine it. Within an hour, you have a functional automation tool.
This code isn’t just deterministic; it’s also flexible. Large language models handle nuanced queries with impressive accuracy.
Vibe coding allows machines to create anything I can articulate clearly, from landing pages adhering to brand guidelines to unique audience tools.
This paradigm shift means even tasks taking 90 minutes by hand are candidates for automation, creating disposable software to save time today, unaffected by future failures.
Vibe coding enables building a range of online solutions — from landing pages to browser extensions — all through simple directives.
Begin with tools you may already use, such as Claude or ChatGPT, for data analysis or visualization tasks.
For more complex applications with databases or user logins, tools like Lovable, V0.dev, Replit, or Bolt simplify the process.
If you have technical skills, Codex, Bolt.new, or Cursor offer robust capabilities, but simpler tools are often sufficient.
I challenged someone in my team with no coding background to create a seasonality analysis tool using Claude.
The process involved gathering materials, crafting a prompt, and testing via a browser without requiring installation.
The team quickly iterated, enhancing features. The AI efficiently added helpful guidance and streamlined interfaces, leveraging its extensive training.
I envisioned a tool sequence for expert review of blog posts, synthesizing feedback through a consolidated summary. This was easily vibe-coded in V0.dev.
A Chrome extension for demos needing to blur sensitive numbers was swiftly constructed via simple prompts, addressing specific visibility needs.
Effective prompting involves specifying the exact use case, allowing AI to generate relevant options and suggest innovative methods.
Engage with questions to uncover insights such as process approaches or data storage solutions, furthering learning opportunities.
Utilizing chat mode for alternative exploration is advantageous, allowing detailed direction without altering code initially.
You can experiment with my team’s audience analyzer, adapting it with ease to suit specific needs like logo integration or functional adjustments.
It’s clear from Vallaeys: the competition isn’t against AI but against individuals harnessing its capabilities more effectively.
Dive into vibe coding today. Select a tool, issue a simple prompt, and witness the remarkable outcomes firsthand. My first attempt left me in awe.
By integrating this newfound knowledge, improving AI skills becomes attainable, ensuring a competitive edge.
Inspired by this post on Search Engine Land.
