A practical guide for business builders

Vibe coding for people who run the business.

Describe the system you need in plain English. AI builds it. You can then test, steer, connect, and publish the result without waiting for a traditional development cycle.

Start vibe coding See what people built

Describe

Start with the business outcome

Build

AI creates the working system

Use

Publish, share, and improve it

What is vibe coding?

Build software by explaining what you want.

Vibe coding is a way of building software through conversation with AI. Instead of translating a business problem into code yourself, you describe the outcome and guide an AI agent as it creates the application.

It changes who can participate. Operators, analysts, founders, marketers, and project leads can shape the software directly because they already understand the workflow.

Looking for a product rather than a definition? Explore camelAI's AI App Builder.

How it works

From business problem to working application.

01

Describe the business outcome

Start with the process, decision, or customer experience you want to improve. You do not need to begin with a technical specification.

02

Let AI build the system

The agent creates the interface, logic, data layer, and connections needed to produce a working first version.

03

Use it, test it, and steer

Try the real workflow. Ask for changes in plain English, check the data and permissions, and refine what does not work.

04

Publish and keep improving

Share the live application with the people who need it, then return to the same project whenever the process changes.

Built with camelAI

What business people are already vibe coding.

Not just landing pages or disposable prototypes. These public applications show conversational building applied to data, operations, and advanced analysis.

YC directory

Company dashboard

Export CSV

5,742

Companies

3,962

Active

273K

Headcount

Companies by batch

Ask the data

Which industries are most common among active companies?

Interactive data application

A dashboard that can answer questions about its own data

Explore 5,742 Y Combinator companies with filters, charts, search, and CSV export. You can also ask the embedded Data Assistant a question in plain English. Its answers use the data currently in view.

Open the live dashboard

Public camelAI-built demonstration

A

revenue-alerts

Automated Stripe monitoring

camelAI APP

🎉 New Subscription: Starter Plan

A new customer signed up from a Product Hunt referral.

Plan

Starter · $29/mo

MRR impact

+$29.00

Source

Product Hunt

This week

$187 new MRR

Stripe event received Slack update posted
Connected business automation

Stripe activity turned into readable revenue alerts

A non-technical co-founder vibe coded a workflow that translates subscription activity into Slack-style updates with the customer, plan, MRR impact, and acquisition source.

Try the interactive demo

Interactive demonstration with sample data

Python notebook · analysis

Global chocolate sales

18 visualizations

$19.8M

Revenue

540K

Boxes

3,282

Deals

6

Markets

Market ranking

Revenue by country

ReportNotebook
Australia
United Kingdom
India
USA
Hosted Python analysis

A large dataset turned into a report anyone can explore

A sales dataset became a hosted Python notebook and executive-ready report with 18 visualizations, statistical analysis, market comparisons, seasonality, product trends, and downloadable results.

Explore the hosted analysis

Public camelAI-built analysis

Beyond the first demo

What makes a vibe-coding platform complete?

The fastest prototype is not always the easiest application to operate. Look at the whole lifecycle before choosing a platform.

01

A real interface

Forms, tables, charts, dashboards, portals, and experiences shaped around the job.

02

Data and backend logic

Persistent information, APIs, authentication, permissions, and business rules.

03

Connections

Databases, spreadsheets, SaaS tools, AI models, and proprietary APIs working together.

04

A path to deployment

The result should be a live application people can use. It should not stop at a preview window.

05

A way to keep changing it

Persistent project context so the second version does not start from zero.

Build responsibly

Plain English does not remove accountability.

The AI may write the code, but the builder still owns the outcome. Include these safeguards in the first version instead of adding them later.

Test the workflow

Use realistic cases, edge cases, and failure cases.

Protect the data

Review access, secrets, personal information, and retention.

Check the decisions

Keep a human involved where an error could materially affect someone.

Plan for change

Make sure the application can be understood, updated, and monitored.

Why camelAI

Built for the person who knows the process.

camelAI gives business builders a persistent environment where AI can create the interface, write the logic, connect the data, deploy the application, and return later to keep improving it.

Explore the AI App Builder See full-stack development

Connect the systems you already use.

Work with databases, files, business tools, AI models, and proprietary APIs. Build a new layer around the process instead of replacing every system underneath it.

Dashboards and data apps
Internal tools and workflows
Customer-facing applications
Automations and AI assistants
Explore internal tools

Frequently asked questions

Questions before you build.

Comparing products? Read the vibe-coding tools guide.

Your business problem can become working software.

Describe what you need, build the first version, and make it better by using it.

Start vibe coding