Your wish is its command

AI That Builds Its Own Tools

Describe what you need in plain English. GenieForge's AI designs the database, writes the code, builds the UI — then uses everything it created to run your business.

genieforge — build mode

$ Build me a CRM for tracking sales leads

Creating database tables...

✓ contacts (name, email, company, status)

✓ deals (title, value, stage, contact_id)

✓ activities (type, notes, deal_id, date)

Writing code tools...

✓ add_contact, search_contacts, update_deal_stage, get_pipeline_report

Ready. Switch to execution mode to start using your CRM.

$
50+
Built-in tools
11
Display components
3
LLM providers
Custom tools

The problem

AI Has a Brain. But No Hands.

Chatbots can think, reason, and generate text. But they can't build tools, manage data, or run real workflows. That gap is where GenieForge lives.

Amnesia by Design

Your AI is brilliant for five minutes — then forgets everything. No persistent data, no memory, no growth between sessions.

Locked-In Tools

Traditional agents come with a fixed toolkit. Need something domain-specific? You're back to writing integrations by hand.

No Real Database

Most AI can't create tables, run queries, or track state. Without structured data, it's not software — it's just text.

The solution

Let the AI Forge Its Own Toolkit

GenieForge is a platform where an AI agent designs, builds, and operates domain-specific apps — complete with databases, code tools, sub-agents, forms, and scheduled automations.

01

Describe

Tell the agent what you need in plain English — "Build me a CRM," "Create a research tracker," anything.

02

Build

The AI creates database tables, writes JavaScript & Python tools, defines sub-agents, builds forms, and sets up views.

03

Run

Switch to execution mode. The agent uses its own tools to manage real data, run queries, and automate workflows.

04

Evolve

Need more? Switch back to build mode. The agent adds new capabilities on top of what already exists.

Two modes

Separate Building from Operating

A key insight: the AI that designs the system shouldn't accidentally modify it while serving users. GenieForge enforces this with explicit modes — like dev and prod for AI.

Build Mode

Design & Construct

  • >Create and update code tools (JS & Python)
  • >Define database schemas and migrations
  • >Author sub-agents with scoped tool access
  • >Build form tools with dynamic data sources
  • >Define AI views, cron templates, and env vars
  • >Configure welcome screens and UI components

Execution Mode

Use & Operate

  • >Run tools, query data, manage files
  • >Invoke sub-agents as agent workflows
  • >Collect structured input via forms and wizards
  • >Render rich displays with quick-action buttons
  • >Run background tasks, cron jobs, and web searches
  • >Upload files and attach multimodal content

Capabilities

Everything a Real App Needs

All authored by AI. All persistent. All production-ready.

Self-Authored Code Tools

The agent writes JavaScript and Python functions that become callable tools — with npm/pip dependencies, sandboxed execution, and full database access.

Sub-agents

Define instruction-driven sub-agents with scoped tool access. Sub-agents run as constrained agents for repeatable workflows.

Pre-Defined Form Tools

Reusable forms for structured data collection — single-step or multi-step wizards with dynamic options from the database.

Rich Interactive UI

11 display components including tables, stats, cards, lists, timelines, progress bars, and configurable welcome screens with quick-action buttons.

Interactive Pages

AI-generated data pages — tables, stats, cards — that call tools directly for data. No LLM cost at runtime.

AI Views

Saved prompt templates that generate reports and dashboards on demand. Configurable caching, one-click execution.

Database & File Storage

Per-project SQLite or Turso databases with schema migrations, isolated file systems, and multimodal chat attachments.

AI App Marketplace

Browse, install, and publish fully featured AI apps — built by AI, distributed to anyone. Each app comes with its own tools, database schemas, sub-agents, and automations ready to run.

Cron Jobs & Background Tasks

Schedule recurring prompts with timezone support. Run long operations async with status tracking and completion notifications.

Multi-Model & Web Access

Swap between Claude, GPT, and Gemini per app. Built-in HTTP requests, headless browser, and web search.

Comparison

Not Your Typical AI Tool

See how GenieForge compares to existing approaches.

CapabilityGenieForgeGPTsNo-CodeTraditional
AI-authored tools
Real database per project
Persistent memory & stateN/A
Natural-language building
Self-expanding capabilities
Sub-agents
Sandboxed code execution
AI app marketplace
No coding required

Use cases

One Platform, Infinite Apps

📊

CRM & Sales Tracker

Tables for contacts, deals, and activities. Pipeline analytics, follow-up scheduling, and AI-generated reports.

tools + cron + views
🔍

Research Assistant

Web scraping, content extraction, structured findings. Sub-agents for summarization and competitive analysis.

http + sub-agents + db
📦

Inventory Manager

Product catalog with stock levels and supplier tracking. Background tasks for reorder alerts and price monitoring.

background + cron
📝

Content Pipeline

Draft, review, and publish workflows with approval stages. Sub-agents for editing, SEO analysis, and formatting.

sub-agents + forms
🛠

Internal Tools

Custom ops dashboards for teams. Interactive forms for data entry, display components for reporting.

forms + display
🤖

Domain Experts

Vertical AI assistants with deep knowledge stored as tools and sub-agents. Each project carries its own context.

multi-project

Why GenieForge

Not Another Chat Wrapper

1

Agents that accumulate capability

Every tool, sub-agent, form, view, and migration persists. Your agent gets more powerful over time — it's building software, not just answering questions.

2

Real databases, not just RAG

Per-project SQLite or Turso databases with proper schema migrations. The agent manages structured data with the same rigor as a developer.

3

Build vs Run separation

End users can't accidentally break the app. Building and operating are explicitly separated — like dev and prod environments for AI.

4

Three capability types

Code tools for deterministic operations, sub-agents for reasoning-heavy tasks, and form tools for structured data collection — each purpose-built.

5

Complete runtime, not a toy

AI views, cron jobs, background tasks, sandboxed execution, headless browsing, interactive forms, app marketplace — everything you need in production.

Stop Asking AI to Answer Questions.
Make a Wish. Watch It Build.

Describe what you need. The AI builds the tools, schemas, and workflows. You get a production-ready app that evolves on demand.