How I built an AI market research SaaS with Emergent

Owning an AI tool is very different from just paying for one. Instead of sending ideas into someone else’s app, you can turn them into your own product, your own asset, and something people might actually pay for. In this guide, you’ll see how an AI market research SaaS called Trend Forge was built from a single prompt using Emergent, including user accounts, saved reports, Stripe billing, deployment, and GitHub sync.

What Trend Forge actually does

Trend Forge is a simple AI-powered market research SaaS. A user signs up, logs in, enters a business idea, and gets a structured report they can save and revisit later.

Each report includes:

• Competitors in the space
• Target customers
• Suggested pricing and positioning
• Launch steps and checklist-style guidance
• Market size breakdowns like TAM, SAM, and SOM

The free plan gives a user one basic report. The Pro plan, priced at $27 per month, unlocks unlimited reports, deeper competitor analysis, checklists, and export options. The key is that the AI output is part of a workflow, not just a one-off response that disappears.

Why this is a real SaaS, not just a toy

Many AI demos feel impressive but disposable: you paste a prompt, get an answer, and never come back. Trend Forge is different because it’s built as a SaaS workflow:

• Users create accounts and log in
• Reports are generated and saved to their profile
• History is visible and reusable
• There’s a clear free vs. paid experience
• Payments are handled with recurring billing

That combination—authentication, database, AI, and payments—is what turns a fun experiment into a testable online asset. It doesn’t guarantee income, but it gives you something real to put in front of a niche and see if there’s demand.

Starting from a single Emergent prompt

The build starts in Emergent with a blank project and one detailed prompt describing the entire app. The prompt asks Emergent to:

• Build a full-stack AI market research SaaS called Trend Forge
• Let users sign up, log in, and enter an idea
• Generate and save AI reports with competitors, pricing, TAM/SAM/SOM, and launch plan
• Include a free plan and a $27/month Pro plan
• Add history, exports, Stripe integration, database, notifications, dashboard, deployment, and GitHub sync

Emergent then spins up the full stack: landing page, authentication, dashboard, report generator, backend, and database. There’s no need to manually configure Firebase, Supabase, or any other backend service. It’s all created from that first prompt.

Using Emergent’s universal LLM key

For the AI part, Trend Forge uses Emergent’s universal LLM key. That means you don’t need to set up separate API keys for GPT, Gemini, or other models, and you don’t have to manage billing dashboards for each provider.

Instead, Emergent handles the model access and billing behind the scenes. You focus on the workflow and UX, not on wiring together multiple AI vendors.

Saving AI reports to the user’s account

One of the biggest differences between a toy app and a product is persistence. In Trend Forge, when a user enters an idea—say, “Meal Prep for Busy Founders”—the AI generates the full market research report and saves it to that user’s account.

Because the backend and database are created automatically, you get:

• User accounts and authentication
• A reports table tied to each user
• The ability to view history and revisit past ideas

This is what gives users a reason to come back: they can compare ideas, refine them, and export their research instead of losing everything after one session.

Designing the free vs. pro experience

Next, the dashboard is refined to clearly separate free and Pro usage. With another prompt, Emergent is asked to:

• Improve the dashboard layout
• Add a visible history of saved reports
• Show a usage limit for free users
• Display a quality score or summary for each saved idea
• Highlight the difference between free and Pro

In this setup:

• Free users get one basic report
• Pro users get unlimited reports, deeper competitor analysis, checklists, and export buttons

The dashboard also includes a Pro upgrade card so users can see exactly what they’re missing. Importantly, you’re not charging for a single AI response—you’re charging for a workflow: enter an idea, get structured research, save it, compare options, export, and return later.

Adding Stripe subscriptions in one prompt

Once the free vs. paid experience is clear, the next step is to add billing. With another prompt, Emergent is instructed to:

• Add a Stripe checkout for the $27/month Pro plan
• Handle the subscription flow
• Update the user’s status to Pro after successful payment
• Unlock Pro features and remove free plan limits

From the user’s perspective, they click “Upgrade,” a Stripe checkout page opens, they complete payment, and then they’re redirected back to the dashboard with Pro access.

This connects three critical pieces:

• Working database
• AI-powered reports
• Recurring payments

Together, these form the foundation of a real online income asset—again, not guaranteed income, but a product that can be tested in the market.

Fixing real bugs with prompts instead of coding

During testing, a real bug appears: after completing the Stripe checkout, the payment works, but the Pro badge on the dashboard doesn’t update immediately.

Normally, a non-technical founder might get stuck here, digging through code or waiting on a developer. With Emergent, this is handled with a single follow-up prompt:

• After successful Stripe checkout, update the user to Pro
• Refresh the dashboard badge
• Correctly test and display the paid status

Emergent patches the flow, and the Pro badge now updates as expected. The build loop becomes: prompt, test, find a bug, prompt a fix, and keep shipping.

Deploying the app and syncing to GitHub

Once everything works, Emergent is asked to run checks and deploy the app. The result is a live URL where anyone can:

• Sign up and log in
• Generate and save reports
• Upgrade to Pro via Stripe
• Use the full workflow in a real environment

At the same time, Emergent syncs the codebase to a GitHub repository. This matters for ownership and future development:

• You own the code, not just a no-code configuration
• If the app gains traction, you can hire a developer to extend it
• There’s no need to rebuild from scratch on another stack

This approach is similar in spirit to other AI-first build workflows, like using Wix Harmony for websites in the AI website full tutorial for beginners, but focused on full SaaS products with authentication, AI, and billing.

What Emergent does—and doesn’t—solve

Emergent removes the technical wall for non-developers. With it, you can build:

• Authentication and user accounts
• Databases and saved records
• AI-powered features
• Stripe subscriptions
• Deployment and GitHub sync

But it does not replace:

• A good idea or niche
• Traffic and distribution
• Sales, positioning, and messaging
• Real market demand

Trend Forge is a “testable asset,” not a promise of income. You still need to choose a niche you understand and can reach. For example, you might adapt this concept for local gyms, Etsy sellers, agencies, or any other group that needs repeatable market insights.

If you’re interested in building more AI-driven business systems without heavy coding, you may also like the guide on how to build an AI marketing team with Claude Code.

How to build your own version

You don’t have to copy Trend Forge exactly. In fact, you shouldn’t. Instead, use the same structure and adapt it to a niche you know well.

A starting prompt could look like:

“Build a SaaS where users log in, enter a business idea, and get a saved AI report. Include a $27/month plan for advanced reports, clear free vs. Pro limits, authentication, database, Stripe subscriptions, deployment, and GitHub sync.”

Then customize it:

• Change the niche (e.g., local services, e-commerce, content creators, real estate)
• Adjust what the AI report includes (e.g., lead lists, content plans, pricing suggestions, checklists)
• Refine the dashboard layout and upgrade path
• Iterate with prompts as you test and find issues

The goal is to move from using AI tools to owning AI tools. Start with one focused workflow that people genuinely need and would pay to use repeatedly, then let Emergent handle the heavy technical lifting while you focus on the problem, the niche, and the value.