Giant language fashions (LLMs) like ChatGPT and Claude are finest identified for his or her writing skills, drafting advert copy, summarizing experiences, and serving to brainstorm weblog content material.
Nonetheless, most entrepreneurs nonetheless know little about considered one of their strongest options: They’ll write precise code.
First, it talked. Then, it wrote. Now, it builds.
We’re not simply speaking about primary snippets. These fashions can generate full scripts, totally useful browser extensions, small net apps, and automations, all from plain English prompts – or another language you’re most snug with.
For entrepreneurs and PPC execs, that unlocks a brand new degree of effectivity. You now not have to know find out how to program to begin benefiting from technical options to on a regular basis issues.
Up to now, I might need solely written a script if it saved me hours of guide 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 grow to be.
On this article, I’ll stroll via the sorts of issues you may resolve with LLM-powered coding, the browser-based instruments that make it accessible, and actual examples of how entrepreneurs are already utilizing this to maneuver sooner.
The Actual Energy: Turning Directions Into Code
LLMs have ingested a lot of the world’s information, and that features scripts and pc code. Meaning when you can clarify a course of clearly, they’ll often flip that clarification into working code.
As a result of they’re multi-modal, they’ll even perceive a diagram you’ve whiteboarded on the workplace and switch that into code, too.
This makes them extremely worthwhile for non-programmers who know what they need however don’t know find out how to construct it.
Consider the marketer who understands how information needs to be formatted for a month-to-month shopper report however dreads the repetitive steps of reformatting CSV information. Or the account supervisor who desires to automate their strategy of eliminating underperforming search phrases however doesn’t have a dev workforce to assist them.
With LLMs, these duties could be described in a couple of sentences, and AI can generate Python scripts, JavaScript instruments, and even full net apps that resolve 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 Clear up?
Let’s break down the sorts of issues the place LLM coding can shine. These aren’t hypothetical; they’re pulled from frequent workflows throughout companies and in-house groups every day.
1. Automating Repetitive, Time-Consuming Duties
You most likely do not less than considered one of these on a considerably common foundation:
- Reformatting exported Sheets or CSV information.
- Copying Google Adverts information 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 could be was a repeatable, automatable workflow. You describe the duty, and the LLM builds the script that does it.
That is particularly worthwhile for entrepreneurs who’re uninterested in being “spreadsheet operators” as an alternative of strategists. By turning routine duties into one-click instruments, you unencumber hours every week and scale back human error.
2. Making an attempt One thing Completely New
Not like the duties above, which you realize precisely find out how to do however hate how a lot time they take, there are additionally some initiatives chances are you’ll not have tried since you have no idea how.
For my workforce, that included a quiz to make weblog content material extra partaking. For me, it concerned constructing a browser extension to blur delicate information on the display.
These are perfect use circumstances for LLM-powered coding. They will let you prototype and check concepts with no need a growth workforce, and when you’re fortunate sufficient to have one, you don’t want to attend to your challenge to get prioritized.
You may get suggestions rapidly, iterate sooner, and construct a complete proof of idea earlier than involving engineering.
Advertising innovation usually 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 execs. Google Adverts scripts are highly effective, however let’s face it, they’ve all the time had a studying curve. Now, LLMs can flatten that curve dramatically.
You possibly can inform a mannequin:
Write a Google Adverts script that checks all lively campaigns with “Mom’s Day” within the identify. If the present date is inside seven days of Mom’s Day, enhance the every day price range 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 useful script you could paste instantly into your account’s scripts part.
This lowers the barrier to entry for entrepreneurs who wish to automate frequent PPC upkeep or construct light-weight instruments for managing giant accounts.
You possibly can go from concept to automation in minutes, no JavaScript expertise required.
Instruments That Make LLM Coding Accessible
I hope the thought of changing into extra environment friendly via code sparks your curiosity, particularly when you’ve ever discovered your self repeating the identical job week after week.
Whether or not you’re managing advert campaigns, cleansing information, or formatting content material, the flexibility to automate even small items of your workflow can save hours and scale back errors.
Right here’s one of the 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 find out how to arrange a server. You positively don’t have to open an advanced built-in growth atmosphere (IDE).
The instruments I’m about to point out you run totally in your browser. They’re designed that will help you go from concept to useful code with nothing greater than a transparent description of what you wish to obtain.
In case you’ve by no means written code earlier than, that is precisely the place you wish to begin.
Claude (Anthropic)
For entrepreneurs, Claude’s means to write down, 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 same old technical friction.
The 200,000-token context window is one other game-changer. You possibly can paste your complete marketing campaign construction, a protracted analytics report, or perhaps a full touchdown web page copy, and Claude will course of it multi functional go.
It retains monitor of each element you’ve shared, so nothing will get misplaced as you construct in your concepts.
There’s a tradeoff, although. Claude presently runs code in a single-file execution atmosphere. That’s advantageous for many advertising duties, however for extra complicated, multi-file initiatives, it’s not as versatile as instruments like Vercel’s V0.dev, which helps full challenge constructions.
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 information 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 communicate.
- It surfaces insights out of your information rapidly, serving to you notice tendencies and outliers that might in any other case go unnoticed.
One of many advantages of LLMs is that they’ll adapt to every person’s degree.
In case you’re not technical, it provides you simply sufficient to really feel empowered. If you’re, it meets you there and helps you progress even sooner. Both method, it expands what’s doable with out getting in your method.
Beneath is a view of Claude producing code based mostly 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 an alternative of a preview of the instrument.
V0.dev (Vercel)
As a lot as I’m enthusiastic about Claude, V0 takes it to a complete new degree.
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.
- Permits you to deploy working initiatives immediately.
- Handles multi-file structure (nice for actual apps).
Entrepreneurs can use V0.dev to construct:
- Textual content reformatting instruments.
- Person interfaces (UI/UX).
- Inside dashboards.
- Totally working net apps.
It’s like having a front-end developer in your browser.
Right here’s a screenshot of what I rapidly tried constructing utilizing V0.dev. I prompted it to create a easy instrument for Search Engine Journal readers that takes a weblog publish 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 an awesome instance of how briskly you may go from concept to working prototype.
What’s particularly cool is that you can even launch this instrument so anybody can use it.

When making a instrument 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 find out how to set up the information. In brief, it helps anybody, no matter means, to create a working piece of software program.
GPT-4o (OpenAI/ChatGPT)
GPT-4o is the LLM I’ve used essentially the most for constructing advert scripts, because it was the primary one to write down an error-free piece of code. It’s additionally nice for:
- Creating information transformation scripts.
- Debugging code.
- Explaining errors.
- Translating code from one language to a different.
However, GPT is proscribed in that it may’t run the code it writes instantly within the chat window. Meaning there’s a variety 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 desire Claude. If I would like one thing extra complicated and wish to debug it within the LLM, I’ll use V0.
Actual-World Instance Use Instances
Let’s go deeper into precise examples. These aren’t simply concepts; these are initiatives you may ask an LLM to assist construct as we speak.
Instance 1: Chrome Extension To Blur Delicate Textual content
The Drawback:
I’m regularly taking screenshots of dashboards or search outcomes however want to cover shopper names, numbers, or different delicate information.
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 information wanted and explains find out how 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 assume to construct, however with a couple of prompts, you’ve created a privacy-preserving utility that saves you enhancing time and protects delicate information.
Instance 2: Internet App To Reformat GPT Output
The Drawback:
I exploit Deep Analysis from ChatGPT to generate analysis for my workforce 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 online app that:
- Accepts pasted textual content.
- Accepts a listing of formatting modifications I might 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 a substitute of enhancing output by hand, you get constant formatting that meets your model or platform pointers.
Instance 3: Interactive Weblog Quiz Generator
The Drawback:
We wished to make our blogs extra interactive, and my workforce 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 end result to completely different calls to motion (“Obtain This Information” or “Speak to an Professional”).
Why It Issues:
Interactive content material improves time-on-page, reduces bounce, and personalizes the expertise, with no need design or dev assist.
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 simpler than it’s ever been earlier than.
For entrepreneurs, the query was once “What instruments ought to I exploit?” Now, it is likely to be: “What instruments ought to I create?”
In case you’ve ever been bottlenecked by engineering assets, or in case your “wouldn’t or not it’s cool if…” concept 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 resolve, a transparent description, and the correct LLM at your aspect.
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