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Start vibe coding

Feel behind on vibe coding? Start here.

If you’re reading this, you’re ahead of the pack.

Charlie Rhomberg
FP&A analyst turned content marketer
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It’s easy to scroll LinkedIn, see someone talking about how they automated half their job with OpenClaw or Claude Code, and feel like you’re way behind.

You’re not.

Half the attendees in our recent webinar "Build Your First Finance Workflow with AI" had never vibe coded anything before. An hour later, they walked away with valuable know-how on what’s possible and how to get started.

That alone puts them ahead of most finance teams. You can join them by watching the recording.

Here are some of the highlights from the session.

Claude vs. Claude Code vs. Claude Cowork

Claude is quickly becoming a go-to LLM for finance teams, and it comes in a few different flavors. Choosing the right one is the first real decision you need to make.

Most teams default to Chat because it’s the most familiar. That’s a good starting point, but using Chat exclusively leaves a lot of value on the table.

Here’s a simple framework for deciding which to use:

  • Chat is best for one-off questions. You’re not trying to build anything—you just need an answer. Example: What’s the right revenue recognition treatment for this scenario?
  • Cowork is a good entry point into vibe coding. Describe what you want to build in plain language, and Claude will create an app for you. From there, you can iterate by describing changes you want to see. Example: Build a budget vs. actuals tracker with variance flags and a summary view for execs.
  • Code is more flexible than Cowork, but it’s also most effective if you have some coding knowledge. Leave this one to the engineers if you prefer to stay out of your machine’s terminal. Example: building something that needs to plug into your data warehouse or handle more complex logic.

Balancing quality and speed

Because LLMs can answer any question in seconds, waiting a few minutes for them to build an app can feel like an eternity.

But you don’t have to twiddle your thumbs as the LLM does its thing. Both John and Albert mentioned they’ll check email or do something else while the AI works in the background.

John’s vibe coding priorities in order:

  1. Quality
  2. Speed
  3. Cost

You want the app to be good. If that takes a bit of extra time—whether from the LLM itself or from a few rounds of iteration—that’s time well spent.

Once you’re consistently getting high-quality results, then it makes sense to focus on speed. And after that, cost.

The cost piece mostly comes down to token usage. That will vary by team, so it’s worth understanding how your org tracks usage and what kind of spend makes sense for experimentation vs. production-grade workflows.

An app to help AEs with deal hygiene

When thinking about what to vibe code, start with recurring pain points. What’s something you or your business partners do every week that’s manual and annoying?

Deal hygiene fits that sweet spot. AEs want to spend their time talking to prospects, not cleaning up data in HubSpot.

So Albert built a live sales tracker to make it easier to stay on top of deal status and reduce friction for AEs to provide updates.

From a single build prompt and a few follow-ups, he created an app that:

  • Pulls in deal data
  • Displays a live snapshot of pipeline health
  • Pushes updates directly to Slack to get real-time input from AEs

Hours of recurring manual work gone after a bit of vibe coding.

Building a sales commission calculator

John went a similar route in his demo, showing off a sales commission calculator.

You can tell both John and Albert have spent a lot of time vibe coding, because they don’t build apps that just do one thing. Albert’s deal hygiene app gives him a pipeline health dashboard AND automatically pushes updates to Slack. John’s sales commission calculator provides a snapshot of sales team performance AND preps a journal entry.

The only limit on what you can build is what you can imagine.

This is cool, but can I trust these homemade apps?

Any generic AI output should be approached with a healthy level of skepticism. Hallucinations continue to be LLMs’ Achilles’ heel—at least those that don't know your data.

Building checks into your apps is a great way to ensure their accuracy.

You’re not behind. Just start building.

If there’s one common theme across all the vibe coding content we’ve put out recently (and there’s been a lot!), it’s that the best way to learn is to just start building. Pick a use case that we’ve covered or choose your own. Fire up Claude Cowork and have it build something for you. Iterate and let your imagination run wild.

To see several more use cases that John and Albert walked through, check out the full webinar recording.

And for a comprehensive vibe coding starter kit, download our vibe coding playbook.

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