How marketers are using Claude Code to build funnels and content strategy

Hey Vibe Marketer,

“Well, Claude Code is an AI-powered coding agent.”

It runs in your terminal, it writes code, it does a bunch of technical tasks.

But, hooking a coding agent into your marketing workflows, using it to streamline operations, launching marketing assets, doing market research, finding opportunities in your niche, building a plan to go after them. Now, that sounds intriguing.

If you're still figuring out how Claude Code fits into your day-to-day operations, strategy, growth plan, I came across some interesting builds inside the vibe marketer’s community that might change how you think about it.

Build #1 - The content ops dashboard

(by Dan Peters)

Running a newsletter every week means research, drafting, editing, sending and doing it all over again the next week. Dan wanted a system where Claude does the heavy lifting but nothing goes out without his sign off.

So, he built a kanban-style board in a single HTML file.

Claude Code does the work at each stage: pulls sources, drafts the brief, writes the content, runs quality checks.

Dan approves before anything moves to the next column. Nothing advances without him saying yes.

No database, no hosting, no external tools. Just a file, a workflow, and Claude running it.

And, as the board runs, it builds its own system. The runbooks write themselves from how the process actually runs, the skills get refined through repetition, the agent instructions get proven before they get locked in.

If you want to see it in action, Dan shared a full walkthrough of the exact workflow end to end, and a starter hub you can drop into your own Claude session and customise for your operation.

Note from Dan: "Don't formalise what you haven't learned. The dashboard is the discovery phase that earns you the right to build the real thing."

Build #2 - The entire marketing funnel

(by Olga Pechnenko)

Olga used Vibe Marketing Skills to build a web design, ran it through an agency framework to polish it, and launched it as a live site on PageMotor. You can see it at salesuplevel.com.

That was just the start. From the same context folder, one place, one session, she moved straight into a lead magnet page and then into her email sequence. Everything compounds. The site brief informed the lead magnet. The lead magnet informed the sequence. Nothing got rebuilt from scratch.

The part she kept coming back to: the skill runs within guardrails. It's not just Claude generating copy and hoping for the best. The framework holds the marketing judgment the ICP, the positioning, the sequence logic. So, the output stays on strategy without her having to re-explain it every session.

Note from Olga: "It's super understated how important it is for AI to have guardrails when it comes to niche things like marketing. It's cooking within the parameters I know are based on years of experience of successful marketers."

Tool stack: Vibe Marketer Skills, Claude CLI, PageMotor.

Build #3 - Sports website with decades of records

(by Tony Morinello)

Rebuilding a website with decades of records, results, and photos means an enormous amount of data to track down, verify, and enter correctly. One wrong entry and the history is off.

Tony took on a full rebuild of his high school track team's site and used Claude Code to get it done. The result is plummustangs.net.

He started with Claude Design, got three prototypes, but Claude treated it like a marketing campaign not a team site. Second attempt with more context, brand guide, purpose, page list and that gave him a much better base.

From there, it came down to picking the right model for the right job:

Claude couldn't pull records that far back, so it redirected him to newspapers.com, a historical newspaper archive, where he found what he needed.

Note from Tony: Always have a backup of data and work and also do a final code audit.

Tool stack: Claude Design, Claude Code, Cursor, Opus 4.7/4.8, Sonnet 4.6, Haiku 4.5, Composer 2.5.

Build #4 - AI gig aggregator + content strategy

(by Akhil Mk)

AI training gigs are real and they pay well. But, they're scattered across job boards, career pages and random listings with no single place to find them all.

So Akhil built gigcollect.com This pulls AI training gigs from 20+ sources into one feed and Claude Code built the whole thing.

Every source was different. Some had APIs, others needed Playwright to render JavaScript-heavy pages before anything could be pulled. Claude handled all of it. Once listings hit the database, a pipeline runs on each batch, categorizes gigs, extracts pay rates, flags full-time hires masquerading as gigs, then sends everything through Gemini for a final quality check.

Only approved listings make it to the feed and dead links get removed. Listings not seen in 30 days get auto-deactivated. The whole thing runs on GitHub Actions every few days without anyone touching it.

What's interesting is what he did with the data after. Instead of writing blog posts from scratch, he just queries the database and publishes what's already there pay rates by category, active listings by platform, what domain experts are earning. No writing needed. The data is the content.

He took the same idea to create video too. Built a pipeline that automatically takes screenshots of real listings, adds an AI voiceover, and burns in captions. A video gets made without him touching it. He's still working on how it looks but the pipeline runs.

Tool stack: Playwright, PostgreSQL on Neon, GitHub Actions, Next.js, Remotion, Inworld AI, Gemini.

Wrapping it up

a. Dan used Claude Code to run his content workflow and as it runs, it documents itself into a system he can eventually formalize into a proper app.

b. Olga used Claude Code to build the entire funnel from one session starting from site, to lead magnet to email sequence, without rebuilding context each time.

c. Tony used Claude Code to rebuild the site and handle data entry and figured out that not every model is equal for every job. Picking the right one made all the difference.

d. Akhil used Claude Code to build the product and then let the product feed its own content engine. The app and the marketing strategy run from the same data.

None of them used Claude Code only for building a product. Each one figured out where it created the most value and gave it that job.

The real decision is where in your work using Claude Code compounds.

—

Miscellaneous vibes

1. New models are cool. but remember building a company is still hard…

2. How to use AI for paid ads?

3. Most people stop at skills. Real unlock is skill chains…

4. What are agentic loops?

5. Claude Fable 5: a Mythos-class model is out…

6. How to be good at research?

7. How to build agent profiles in Hermes Agent?

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