Massive language fashions (LLMs) like ChatGPT and Claude are finest recognized for his or her writing talents, drafting advert copy, summarizing studies, and serving to brainstorm weblog content material.
Nevertheless, most entrepreneurs nonetheless know little about one among their strongest options: They’ll write precise code.
First, it talked. Then, it wrote. Now, it builds.
We’re not simply speaking about fundamental snippets. These fashions can generate full scripts, absolutely practical browser extensions, small internet apps, and automations, all from plain English prompts – or some other language you’re most comfy with.
For entrepreneurs and PPC professionals, that unlocks a brand new stage of effectivity. You not must know the right way to program to begin benefiting from technical options to on a regular basis issues.
Up to now, I may need solely written a script if it saved me hours of handbook work each month.
Now, with LLMs, it’s so fast to construct one thing that I’ll even create one-off instruments for duties that might’ve solely taken me an hour or two. That’s how low the barrier has turn into.
On this article, I’ll stroll via the sorts of issues you’ll be able to clear up with LLM-powered coding, the browser-based instruments that make it accessible, and actual examples of how entrepreneurs are already utilizing this to maneuver quicker.
The Actual Energy: Turning Directions Into Code
LLMs have ingested a lot of the world’s information, and that features scripts and laptop code. Meaning for those who can clarify a course of clearly, they will normally flip that rationalization into working code.
As a result of they’re multi-modal, they will even perceive a diagram you’ve whiteboarded on the workplace and switch that into code, too.
This makes them extremely precious for non-programmers who know what they need however don’t know the right way to construct it.
Consider the marketer who understands how knowledge must be formatted for a month-to-month shopper report however dreads the repetitive steps of reformatting CSV recordsdata. Or the account supervisor who desires to automate their strategy of eliminating underperforming search phrases however doesn’t have a dev crew to assist them.
With LLMs, these duties may be described in a number of sentences, and AI can generate Python scripts, JavaScript instruments, and even full internet apps that clear up the issue.
This isn’t nearly saving time. It’s about unlocking experimentation and eradicating the friction that retains good concepts from scaling via expertise.
What Issues Can LLM-Generated Code Remedy?
Let’s break down the sorts of issues the place LLM coding can shine. These aren’t hypothetical; they’re pulled from widespread workflows throughout companies and in-house groups each day.
1. Automating Repetitive, Time-Consuming Duties
You most likely do no less than one among these on a considerably common foundation:
- Reformatting exported Sheets or CSV recordsdata.
- Copying Google Adverts knowledge into slides for reporting.
- Cleansing up GPT’s output earlier than sharing it with a shopper.
- Manually reviewing advert copy for model compliance.
With the assistance of an LLM, every of those may be was a repeatable, automatable workflow. You describe the duty, and the LLM builds the script that does it.
That is particularly precious for entrepreneurs who’re bored with being “spreadsheet operators” as a substitute of strategists. By turning routine duties into one-click instruments, you release hours every week and scale back human error.
2. Attempting One thing Totally New
Not like the duties above, which you realize precisely the right way to do however hate how a lot time they take, there are additionally some tasks you could not have tried since you have no idea how.
For my crew, that included a quiz to make weblog content material extra partaking. For me, it concerned constructing a browser extension to blur delicate knowledge on the display.
These are best use circumstances for LLM-powered coding. They mean you can prototype and check concepts with no need a improvement crew, and for those who’re fortunate sufficient to have one, you don’t want to attend to your mission to get prioritized.
You will get suggestions shortly, iterate quicker, and construct a complete proof of idea earlier than involving engineering.
Advertising innovation typically dies within the backlog. LLM coding makes it simpler to strive issues by yourself.
3. Google Adverts Scripts
This is among the most enjoyable areas for PPC professionals. Google Adverts scripts are highly effective, however let’s face it, they’ve at all times had a studying curve. Now, LLMs can flatten that curve dramatically.
You’ll be able to inform a mannequin:
Write a Google Adverts script that checks all lively campaigns with “Mom’s Day” within the title. If the present date is inside seven days of Mom’s Day, enhance the each day funds of these campaigns by 20%. Embody feedback to clarify every a part of the code so I can perceive what the script is doing.
It can return a completely practical script you can paste immediately into your account’s scripts part.
This lowers the barrier to entry for entrepreneurs who need to automate widespread PPC upkeep or construct light-weight instruments for managing giant accounts.
You’ll be able to go from thought to automation in minutes, no JavaScript expertise required.
Instruments That Make LLM Coding Accessible
I hope the thought of turning into extra environment friendly via code sparks your curiosity, particularly for those who’ve ever discovered your self repeating the identical process week after week.
Whether or not you’re managing advert campaigns, cleansing knowledge, or formatting content material, the power to automate even small items of your workflow can save hours and scale back errors.
Right here’s the very best half: You don’t must be a developer to begin.
You don’t even want to put in something, perceive programming languages, or know the right way to arrange a server. You undoubtedly don’t must open an advanced built-in improvement surroundings (IDE).
The instruments I’m about to point out you run completely in your browser. They’re designed that can assist you go from thought to practical code with nothing greater than a transparent description of what you need to obtain.
When you’ve by no means written code earlier than, that is precisely the place you need to begin.
Claude (Anthropic)
For entrepreneurs, Claude’s skill to put in writing, check, and execute code proper contained in the interface is an actual standout.
No setup is required, no installations, and no APIs to attach.
You describe what you want, Claude writes the code, and also you see the ends in real-time. This quick, feedback-driven loop makes it simpler than ever to experiment and iterate with out the standard technical friction.
The 200,000-token context window is one other game-changer. You’ll be able to paste your whole marketing campaign construction, a protracted analytics report, or perhaps a full touchdown web page copy, and Claude will course of it multi function go.
It retains observe of each element you’ve shared, so nothing will get misplaced as you construct in your concepts.
There’s a tradeoff, although. Claude at the moment runs code in a single-file execution surroundings. That’s high quality for many advertising and marketing duties, however for extra advanced, multi-file tasks, it’s not as versatile as instruments like Vercel’s V0.dev, which helps full mission buildings.
Nonetheless, for entrepreneurs constructing scrappy, high-impact instruments quick, Claude handles a stunning quantity.
Right here’s what’s most enjoyable to me:
- It could run JavaScript proper within the browser, good for fast duties like knowledge filtering, easy visualizations, or interactive prototypes.
- It interprets technical ideas into plain, marketing-friendly language, so that you’re by no means caught decoding dev converse.
- It surfaces insights out of your knowledge shortly, serving to you see tendencies and outliers that might in any other case go unnoticed.
One of many advantages of LLMs is that they will adapt to every consumer’s stage.
When you’re not technical, it provides you simply sufficient to really feel empowered. In case you are, it meets you there and helps you progress even quicker. Both method, it expands what’s potential with out getting in your method.
Beneath is a view of Claude producing code primarily based on a marketing-focused immediate, with each the immediate and dealing output seen within the interface.
Customers can toggle to the code view if they like to see that as a substitute of a preview of the device.
V0.dev (Vercel)
As a lot as I’m enthusiastic about Claude, V0 takes it to an entire new stage.
Vercel, the creator of Subsequent.js, made V0.dev, which is designed to construct working software program by describing what you want.
Why it stands out:
- Generates full React parts, HTML, and CSS.
- Helps you to deploy working tasks immediately.
- Handles multi-file structure (nice for actual apps).
Entrepreneurs can use V0.dev to construct:
- Textual content reformatting instruments.
- Consumer interfaces (UI/UX).
- Inner dashboards.
- Totally working internet apps.
It’s like having a front-end developer in your browser.
Right here’s a screenshot of what I shortly tried constructing utilizing V0.dev. I prompted it to create a easy device for Search Engine Journal readers that takes a weblog submit and outputs key takeaways in bullet kind.
V0.dev generated a clear, on-brand interface with only a single immediate, no coding required. It’s a fantastic instance of how briskly you’ll be able to go from thought to working prototype.
What’s particularly cool is that you might even launch this device so anybody can use it.

When making a device that requires third-party integrations, V0 asks for the required API keys and credentials.
When constructing one thing that may’t be hosted on-line, like a Chrome extension, it explains the right way to set up the recordsdata. Briefly, it helps anybody, no matter skill, to create a working piece of software program.
GPT-4o (OpenAI/ChatGPT)
GPT-4o is the LLM I’ve used probably the most for constructing advert scripts, because it was the primary one to put in writing an error-free piece of code. It’s additionally nice for:
- Creating knowledge transformation scripts.
- Debugging code.
- Explaining errors.
- Translating code from one language to a different.
However, GPT is proscribed in that it will possibly’t run the code it writes immediately within the chat window. Meaning there may be lots of copy-and-pasting required to take the code, set up it on a server, check it, after which iterate with GPT to debug it.
Whereas I believe GPT is superior for writing code, if I would like one thing fast and easy, I’ll want Claude. If I need one thing extra advanced and need to debug it within the LLM, I’ll use V0.
Actual-World Instance Use Circumstances
Let’s go deeper into precise examples. These aren’t simply concepts; these are tasks you’ll be able to ask an LLM to assist construct immediately.
Instance 1: Chrome Extension To Blur Delicate Textual content
The Downside:
I’m regularly taking screenshots of dashboards or search outcomes however want to cover shopper names, numbers, or different delicate knowledge.
The LLM Resolution:
I requested V0.dev to generate a Chrome extension that provides a blur impact to any numerical values on the web page.
It generates all of the recordsdata wanted and explains the right way to set up my customized extension in my Chrome browser. It returns:
- The manifest.json file.
- JavaScript to inject CSS.
- Directions to package deal and set up the extension.

Why It Issues:
This isn’t one thing most entrepreneurs would ever suppose to construct, however with a number of prompts, you’ve created a privacy-preserving utility that saves you enhancing time and protects delicate information.
Instance 2: Net App To Reformat GPT Output
The Downside:
I take advantage of Deep Analysis from ChatGPT to generate analysis for my crew or future blogs, however I don’t love how supply references are formatted once I copy the analysis right into a Google Doc.
The LLM Resolution:
Use V0.dev to create an internet app that:
- Accepts pasted textual content.
- Accepts a listing of formatting modifications I’d usually make manually (e.g., discovering hyperlinks and placing them in superscript).
- Shows the cleaned model immediately.
Why It Issues:
It streamlines content material workflows. As an alternative of enhancing output by hand, you get constant formatting that meets your model or platform tips.
Instance 3: Interactive Weblog Quiz Generator
The Downside:
We wished to make our blogs extra interactive, and my crew had the thought so as to add quizzes.
The LLM Resolution:
Use Claude to generate a quiz engine in HTML/CSS/JS. Feed it 5 to seven questions, then tie the outcome to completely different calls to motion (“Obtain This Information” or “Discuss to an Skilled”).
Why It Issues:
Interactive content material improves time-on-page, reduces bounce, and personalizes the expertise, with no need design or dev help.
Need to see it? Try how AI is reworking our content material about bidding methods.

Conclusion: Entrepreneurs Can Now Construct What They Want With AI
Writing utility software program is less complicated than it’s ever been earlier than.
For entrepreneurs, the query was “What instruments ought to I take advantage of?” Now, it could be: “What instruments ought to I create?”
When you’ve ever been bottlenecked by engineering assets, or in case your “wouldn’t it’s cool if…” thought has sat in a pocket book for months, that is your probability.
You don’t want an IDE. You don’t want to know loops or lessons. You simply want an issue to unravel, a transparent description, and the best LLM at your facet.
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