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Two paths to your app

Gainable uses specialized AI agents that work together to create your application. The agents involved depend on how you start:

Describe your app

Write what you want in plain English. The Planner Agent creates a build plan, the Build Agent generates code, and the Validation Agent ensures quality.

Build from data

Connect external data sources. The DataAnalyzer Agent examines your schema, recommends features through interactive Q&A, and produces a build specification.
Both paths converge at the Build Agent, which generates your complete application.

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Path 1: Describe your app

1

You describe your app

Write what you want in plain English. Be as specific or general as you like.
2

Planner Agent analyzes your request

The Planner understands your intent, identifies what data you need, and creates a structured build plan.
3

Build Agent generates code

The Build Agent creates your complete application: database models, user interface, and all the logic.
4

Validation ensures quality

Before delivering your app, validation checks catch common issues and ensure everything works.
5

Your app is ready

A fully functional application is ready to use immediately.

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Path 2: Build from data

1

Connect and sync your data

Choose a data source (Google Sheets, HubSpot, Stripe, etc.), authenticate, and sync your data into Gainable.
2

DataAnalyzer Agent examines your schema

The agent analyzes your field names, types, sample rows, and enum values. It identifies the domain (CRM, project management, finance, etc.) and detects patterns like pipeline stages, currency fields, or contact records.
3

Interactive refinement

The agent asks 2-3 clarifying questions through multiple-choice options. You shape the app spec through conversation.
4

Build Agent generates code

The same Build Agent used in the prompt path executes the spec, creating views, dashboards, and collaboration features matched to your data.
5

Validation ensures quality

Validation checks run to catch common issues before delivery.
6

Your app is ready

A fully functional application appears, pre-populated with your synced data.

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What makes this different?

Gainable creates complete, production-ready applications, not code snippets:
Traditional AI CodeGainable
Generates code snippetsGenerates complete apps
You assemble the piecesEverything is connected
Basic text completionSpecialized agents with deep expertise
Generic outputFollows proven patterns

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The agent system

Gainable uses multiple AI agents, each specialized for a specific task:

Planner Agent

Analyzes your request and creates a detailed build plan. Identifies data models, views, and features needed.

Build Agent

Generates the code for your application. Creates database models, routes, and user interfaces.

DataAnalyzer Agent

Examines synced data schemas and sample data. Identifies the domain, recommends features, and produces a build specification through interactive conversation. Used in the “Build from data” path.

Validation Agent

Checks generated code for common issues and ensures it follows best practices.

Conversation Agent

Answers questions about your project and helps you understand what was built.

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Beyond building: AI agents in your apps

The agents above (Planner, Build, Validation, Conversation) work behind the scenes to build your app. Gainable also lets you create custom AI agents that live inside your finished app and help your users directly. These custom agents can chat with users, look up app data, reference uploaded documents, and provide guidance, all through an embedded copilot interface.

Learn about custom AI agents

Create AI assistants that interact with your app data and help your users

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What happens when you send a prompt

Let’s follow a real example through the system:
1. Planner Agent receives your requestThe Planner identifies:
  • You need a Task data model
  • Fields: title, description, due date, priority
  • You’ll need a view to manage tasks
  • CRUD operations (create, read, update, delete)
2. Plan is created
Summary: Build task tracker with due dates and priority levels

Features:
- Task management (add, edit, delete tasks)
- Due date tracking
- Priority levels (low, medium, high)
- Task list view

Data model:
- Task: title, description, dueDate, priority, completed
3. Build Agent generates codeThe Build Agent creates:
  • Database model for Task
  • API routes for CRUD operations
  • A task list view with forms
  • Priority badges and date formatting
4. Validation runsChecks ensure:
  • All fields are properly connected
  • Forms save data correctly
  • The interface works on mobile
5. Your app is readyYou now have a working task tracker you can use immediately.
1. You connect and sync your Google SheetThe sheet has columns: Deal Name, Company, Amount, Stage (New, Qualified, Proposal, Won, Lost), Close Date, Owner.2. DataAnalyzer Agent analyzes the schemaThe agent identifies:
  • Domain: CRM / Sales (deal + amount + stage enum)
  • Pipeline enum: Stage with 5 values → kanban board
  • Currency field: Amount → KPI cards and charts
  • Date field: Close Date → timeline filtering
3. Agent asks clarifying questions“I see a sales pipeline with 5 stages and deal values. What should be the primary view?”Options: Pipeline Board / Revenue Dashboard / Deal Table4. You refine through Q&AYou pick “Pipeline Board” as the primary view. The agent asks one more question about how to handle the Owner field.5. Build Agent generates the appThe Build Agent creates:
  • A kanban board with deals grouped by stage
  • A dashboard with pipeline value KPIs and charts by stage
  • A searchable deal table
  • Comments on individual deals
  • An AI copilot configured for sales questions
6. Your app is readyPre-populated with all your Google Sheet data, ready to use immediately.

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How iteration works

Gainable remembers everything about your project. When you ask for changes:
  1. Context is preserved - The AI knows what’s already built
  2. Existing features are protected - New additions don’t break what works
  3. Changes are targeted - Only the relevant parts are modified
  4. Every change is versioned - Each successful build creates a snapshot you can revert to
This means you can build incrementally and experiment freely. Start with something simple, add features one at a time, and undo anything that doesn’t work out.

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Undo this build

Not happy with the latest change? Click the undo button (↩) on any build completion message to revert it instantly.
Undo this build button on a build completion message
When you undo a build:
  • Everything from that step is reverted — code, views, data models, routes
  • You can only undo one step at a time — this prevents cascading issues and keeps your app stable
  • Your previous state is fully restored — as if the build never happened
You can only undo the most recent build. To go further back, use Commit history.

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Commit history

Every build creates a versioned commit with a description of what changed. You can view and rollback to any point in your build history.
  1. Click the three-dot menu (⋮) at the top of the Pages panel
  2. Select Commit history
The history shows all your builds with descriptions and timestamps. Click Rollback on any previous entry to restore your app to that point.
When you rollback, Gainable automatically creates a safety snapshot of your current state before reverting. This means you can undo a rollback if you change your mind — just open Commit history again and click Undo to restore the state before the rollback.

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Technical foundation

Every Gainable app is built on a proven tech stack:
LayerTechnologyWhat it does
DatabaseMongoDBStores all your data flexibly
BackendNode.js + ExpressHandles data operations
FrontendModern HTML/CSS/JSResponsive interface that works on any device
Real-timeSocket.IOInstant updates across users
UI ComponentsDaisyUI + TailwindPolished, themeable design
CollaborationWeavyChat, files, and comments
You don’t need to know any of these technologies to use Gainable. This is just what powers your apps behind the scenes.

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Learn more

Meet the agents

Deep dive into each AI agent and what they do

Build from data

Connect external data sources and let AI design your app

Explore skills

Discover built-in features you can request

AI agents & copilot

Add custom AI assistants to your apps