GenieForge

Tap a star to rate

What the product is

GenieForge is an AI app builder for founders and operations teams who want a working business application, not a prototype screen. You describe what you need, and the AI scaffolds the data, pages, automations, and an AI operator that runs the finished app. The company calls the result "living software", an app that keeps changing as people use it.

It is aimed at the kind of software a small business actually runs on: client portals, session and booking tools, member areas, volunteer directories. The company's site puts it in direct comparison with Taskade and Softr and says it is a better fit when the app needs a real database and has to evolve. The pages name no headquarters, founding year, or customer count.

What you build and how

The starting point is the application, not a workspace. The site's own words: "Describe what you need and start building right away. The AI scaffolds the data, pages, automations, and operator. Change anything by asking." The home page lists a full AI builder inside the app, and "change anything by asking" applies after launch as well as at the start.

The building blocks are named on the home page: data, tools, pages, portals, automations, and roles. The site says they "lock together as one system" and are "real building blocks, not throwaway generated code." The data layer is a relational database that comes with the app and is owned by you. The comparison page with Softr says plainly that you do not need Airtable or another data source, because the database is part of the app.

The home page walks through a sample build, a coaching portal called Northwind. It has a sessions page, clients, billing, and a coach role. Over time the app picks up changes: sessions record which coach ran them, the sessions list gains a coach column and a filter, the Monday email breaks attendance out per coach, coaches see their own sessions while managers see all of them, and the client portal is untouched. That is how roles, portals, pages, data, and automations get described in the product's own terms.

Logic goes beyond blocks. The Softr comparison says GenieForge builds "custom tools, sub-agents, and event logic written for your app", and that the AI operator "answers questions and acts on your live data". By default one operator runs the app. When you want a team, it can create custom-role agents and sub-agents that run on demand.

Usage-Driven Development

What the company calls Usage-Driven Development is the main idea. The app shows which screens and jobs people actually use. Friction comes back as a Signal with a proposed fix. The sample Signals on the home page are a coach filter (staff keep exporting to a spreadsheet to filter sessions), invoice payments inside the portal (3 clients asked), a failing Monday summary email (it failed twice in a week), and a missing log-session action (new staff could not find where to record a completed session). You approve the fix, the AI makes the change, tests it, and ships a new version. "You decide what ships."

Every change is versioned and reversible. The home page puts it as "Try things. Break things. Roll back instantly." The site also says the live app only updates when you say so.

What teams build with it

The whole product is one system: database, portals with logins, role-based permissions, automations, and the operator. The Softr comparison page says client portals and logins are supported, plus internal views and role-based permissions in one place.

The company lists example builds. A course creator tracks students, cohorts, and progress as real data, with a portal students log into. A fitness studio gets a member portal for bookings and plans, reminders, and an operator that can answer who has not booked in two weeks. A coaching business moves off a spreadsheet-backed portal onto a real client table, with session logic and an automation that flags stalled clients. A nonprofit runs a volunteer directory and adds shift sign-ups and approvals. The home page also says a therapy companion, a coaching studio, and a creative studio operations hub are running on it today.

Plans, pricing, and what the pages state

The home page describes two paths that "give you the same living software."

  • Build it yourself. Start in minutes, with the full AI builder inside the app, instant rollback, and the ability to invite your whole team.
  • Have us build it. "Starting at $1,000." The team builds the first version with you or gets you unstuck. The page lists a free first consultation, a build to your exact specs, weekly check-ins throughout, and launch support and onboarding.

Running the app is a "simple monthly plan": "Then run it from $30/mo." That covers hosting, AI conversations, automations, background jobs, and access for your whole team. The home page also points to a full plans page. The 2 price points stated on the pages are $30 a month and $1,000.

The comparison pages make claims about rivals that are the company's own framing. On Taskade, the site says Taskade Genesis spins up a workspace with a live project database, AI agent teammates, and over a hundred automations from one prompt, but that data there lives as projects, documents, and tasks, which it calls thin for production data. On Softr, it says Softr is a frontend over Airtable or Google Sheets, with limits inherited from the data source and plan tier. The Taskade page also links to a comparison with Retool, described as an engineering-first internal-tools platform.

The pages say nothing about code export, self-hosting, compliance certifications, hosting regions, a template library, or a count of integrations. A buyer who needs any of those has to ask.

Who it suits and who it does not

A founder or a small ops team with a real process to digitize will find the most here: a coaching business, a studio, a course, a nonprofit. The pitch is one system with a database, portals, roles, and automations, and an AI operator that stays in it, rather than a frontend over a spreadsheet. It also suits a team that expects the app to change every month and wants each change reviewable and reversible.

It is a poorer match for someone who wants to keep data in an existing Airtable or Google Sheets base, since the pages describe a database built into the app and say nothing about connecting external sources. A buyer who needs published compliance details, a stated plans page, or a code escape hatch will not find them on the company's site. Teams with a single static page, or a simple form, will not need an operator, a database, and a monthly plan. The $1,000 starting point for a done-for-you build is a floor, and the pages do not say what a larger build costs.

More in AI App Builders

See all