Describe what you need. The AI forges databases, code tools, sub-agents, and forms — then uses everything it created to run your business. Your wish is its command.
$ 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)
Writing code tools...
✓ add_contact, search_contacts, update_deal_stage
Ready. Switch to execution mode to start.
$
Chatbots can think, reason, and generate text. But they can't build tools, manage databases, or run real workflows. That gap is where billions of dollars in potential value gets lost.
Every chat starts from zero. No persistent data, no memory of past work, no accumulated capability. Your AI is brilliant for five minutes — then forgets everything.
Traditional agents ship with a fixed set of tools. When your domain needs something specific, you're back to writing integrations yourself.
Most AI apps can't create tables, run queries, or maintain state. Without structured data, it's not software — it's just text.
GenieForge is a platform where an AI agent designs, builds, and operates domain-specific apps — complete with database schemas, custom code tools, automated sub-agents, interactive forms, and scheduled automations.
Tell the agent what app you need in plain English. A CRM, a research tracker, an inventory system — anything.
The agent creates tables, writes JavaScript/Python tools, defines sub-agents, builds forms, and sets up AI views — all persisted.
Switch to execution mode. The agent uses its own tools, forms, and views to manage real data and automate workflows.
Need a new feature? Switch back to build mode. The agent adds capabilities on top of what already exists. Compound growth.
All authored by AI. All persistent. All production-ready.
The agent writes JavaScript and Python functions that become callable tools — with npm/pip dependencies, sandboxed execution, and full database access.
Define instruction-driven sub-agents with scoped tool access. Sub-agents run as constrained sub-agents for repeatable workflows.
Reusable forms with conditional field visibility, dynamic database options, multi-step wizards, and direct tool submission.
12 display components: tables, stats, cards, charts (bar/line/pie), timelines, progress bars. Quick-action buttons and welcome screens.
Data pages with server-side search, typed columns, filter controls, and sub-agent actions. Zero LLM cost at runtime.
Saved prompt templates for on-demand reports. Scheduled recurring prompts with per-project timezone overrides and async background tasks.
Swap between Claude, GPT, and Gemini per app. Built-in HTTP requests, headless browser rendering, and web search.
A built-in Platform PM agent introspects apps from the inside, identifies platform gaps, and files structured improvement proposals — the platform evolves itself.
Browse, install, and publish fully featured AI apps — built by AI, distributed to anyone. Each app ships with its own tools, database schemas, sub-agents, and automations ready to run.
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.
See how GenieForge compares to existing approaches to building with AI.
| Capability | GenieForge | GPTs | No-Code | Traditional |
|---|---|---|---|---|
| AI-authored tools | ✓ | ✕ | ✕ | ✕ |
| Real database per project | ✓ | ✕ | ✓ | ✓ |
| Persistent memory & state | ✓ | ✕ | N/A | ✓ |
| Natural-language building | ✓ | ✕ | ✕ | ✕ |
| Self-expanding capabilities | ✓ | ✕ | ✕ | ✕ |
| Sub-agents | ✓ | ✕ | ✕ | ✕ |
| Sandboxed code execution | ✓ | ✕ | ✓ | ✓ |
| AI app marketplace | ✓ | ✓ | ✕ | ✕ |
| Self-improving platform | ✓ | ✕ | ✕ | ✕ |
| No coding required | ✓ | ✓ | ✓ | ✕ |
Tables for contacts, deals, and activities. Pipeline analytics, follow-up scheduling, and AI-generated reports.
tools + automations + viewsWeb scraping, content extraction, structured findings. Sub-agents for summarization and competitive analysis.
http + sub-agents + dbProduct catalog with stock levels and supplier tracking. Background tasks for reorder alerts and price monitoring.
background + automationsDraft, review, and publish with approval stages. Sub-agents for editing, SEO analysis, and social media formatting.
sub-agents + formsCustom ops dashboards for teams. Interactive forms for data entry, display components for reporting, scheduled syncs.
forms + displayVertical AI assistants with deep domain knowledge stored as tools and sub-agents. Each project carries its own context.
multi-projectThe market is shifting from chat wrappers to autonomous systems that do real work. GenieForge sits at the intersection of three massive markets.
Everyone is building agents — but they all start from scratch each session. GenieForge agents accumulate capabilities, creating compound advantage.
Traditional low-code forces users into visual builders. GenieForge replaces drag-and-drop with natural language — describe what you need, the AI builds it.
Every team needs custom ops dashboards and workflows. GenieForge turns a conversation into a production-ready internal tool with its own database, automations, and UI.
Every tool, sub-agent, form, view, and migration persists. Your agent gets more powerful over time — it's building software, not just answering questions.
Per-project SQLite or Turso databases with proper schema migrations. The agent manages structured data with the same rigor as a developer.
End users can't accidentally break the app. Building and operating are explicitly separated — like dev and prod for AI.
Code tools for deterministic operations, sub-agents for reasoning, form tools for structured data — each purpose-built for its role.
AI views, automations, background tasks, sandboxed execution, headless browsing, interactive forms, app marketplace — everything for production.
A built-in Platform PM agent runs inside your apps, detects missing capabilities from first-hand experience, and files structured proposals. The roadmap writes itself.
Pay for what you use. Every plan includes the full platform — no feature walls, no surprises.
Explore the full build/run loop with your own API keys.
For builders shipping real apps with automation and cloud execution.
For teams running multiple AI apps with higher throughput.
Bring your own key — use your own LLM API keys on any plan to skip managed model costs. You only pay for platform features.
Describe what you need. The AI builds the tools, schemas, and workflows. You get a production-ready app that evolves on demand.