Features
GenieForge comes packed with everything a real app needs: databases, automations, team tools, and more. All created through conversation.
Why this is different
A feature checklist is table stakes in 2026. The difference is what happens after the app exists: an AI that runs it, learns from real use, and proposes its own improvements.
The same AI that builds your app stays inside it and runs it for your team and end-users, scoped by role. It answers questions and takes action on live data, not just static screens.
As people use the app, it captures signals (bugs, friction, requests, confusion), groups similar ones, and ranks them into a roadmap, so the most-hit issues rise to the top with a one-click fix.
As it builds, the agent records the reasoning behind each choice (the why, the constraints, the tradeoffs) as living documentation. It reads those decisions before making related changes, so the app's history is never lost.
Builders and the agent co-author lasting conventions (naming, data patterns, domain constraints) that every future build conversation must follow. Rules travel with the app on export, so the next session does not start from scratch.
A built-in PM reviews your apps from the inside, spots missing capabilities, and writes proposals. Approved ones can open a pull request automatically, and nothing touches your live app until you say so.
The full toolkit
All built through conversation, all wired into one running system.
GenieForge creates its own tools as it builds your app: functions that do exactly what you need, ready to use the moment they're made.
Not just a builder. The same AI lives in the running app and operates it for your team and end-users, scoped by role: answering questions and taking action on live data.
Spin up focused AI helpers for specific tasks, like a dedicated researcher, a data analyst, or a content editor. Each one stays in its lane, and can hand back clean structured results your app uses directly, not just a wall of text.
Collect information with forms that adapt as you fill them in, pulling live data, showing the right fields at the right time, no frontend code needed.
Tables, charts, cards, timelines, progress bars, product galleries, and more. The AI picks the right way to show your data and puts it together on the fly.
Your app gets actual pages (with search, filters, and actions) that work without the AI having to think about it every time. Nested navigation, groups, and breadcrumbs keep drill-down flows clear. Pages can even build themselves on the fly: a single function component runs your logic and lays out exactly the right cards, tables, and charts for each user.
Save report templates that generate fresh insights whenever you need them, with optional caching so they're always fast.
Every app gets its own database. SQL is dialect-correct end to end: LLM prompts, tool descriptions, query builders, and stored migrations all match your engine. A query library lets tools reference named queries that auto-translate across engines. Tool source code supports dialect entry points that are auto-generated via LLM when you add a new database engine. Your data stays yours: organized, searchable, and exportable.
Define a typed settings schema once and every project gets its own configuration: company name, timezone, feature flags, thresholds. No migration, no custom tools. Values are accessible in code and pages instantly.
Enable conversation memories and your AI agent remembers facts about each user across sessions: preferences, goals, history, recalled automatically so every conversation picks up where it left off. Within a single chat it keeps a working scratchpad too, so it stays sharp and doesn't lose the thread in long back-and-forths.
Search your data by meaning, not just keywords. Ask "find contacts similar to this one" and get smart, relevant results.
Publish your app to the marketplace and let others install their own copy, with all the tools, data structure, and automations included.
Generate a shareable link and let anyone use your app, no account needed. Add a password for sensitive apps, or keep it open for maximum reach.
Schedule tasks, react to events, send email / Web Push / in-app notifications (every alert mirrors to the portal's built-in Notifications view so dismissed pushes never disappear), and run background jobs, all set up through conversation, no code required.
Every message your app sends is logged with its delivery status: sent, delivered, bounced, or marked as spam. See it on a Communications page, and let the AI inside your app notice a bad address and stop emailing it.
Turn your app into something you'd proudly share, with your own name and icon in the browser tab and on the home screen, clean navigation, a consistent look, an AI chat always within reach that each assistant can brand with its own title and icon instead of a generic label, an installable mobile PWA so end users can pin it to their home screen and receive push reminders, and a built-in Notifications view that keeps every alert findable even when the OS push is dismissed.
A friendly onboarding tour walks you through everything when you first start. Help is always one click away, with guides and tips whenever you need them.
Give your app its own emojis. Upload an image, name it (like :partyparrot:), and tell the AI when to use it. Whenever the assistant writes that shortcode in a reply, it renders as your image, in the builder chat, the end-user portal, and embedded chatbots alike.
Pick from Claude, GPT, or Gemini, whichever works best for your app. Switch anytime. Each app can use a different model.
Bring collaborators in with the right level of access: from full editors to read-only viewers. Manage it all from one place.
The agent keeps a living record of why your app is built the way it is: the reasoning, the constraints, and the tradeoffs behind each choice. It consults these decisions before making related changes, and the documentation travels with your app.
Durable, app-scoped conventions (like Cursor rules) that steer how the Building-mode agent works: naming, data patterns, UX preferences, domain constraints. You and the agent both author them, and they travel with the app on export.
Every bug, bit of friction, feature request, or moment of confusion gets captured as a signal, grouped with similar ones, and ranked into a roadmap, so the most-hit issues rise to the top with a one-click fix. A workaround is a feature request that gave up.
A built-in PM reviews your apps from the inside, spots what's missing, and writes proposals. Approved improvements can open a pull request automatically, and nothing ships to your live app until you approve it.
Your app can call any API, fetch any website, or trigger any webhook, all set up through conversation. Secure env var interpolation lets the builder test authenticated endpoints without exposing secrets. A built-in encrypted cache lets tools share session tokens and intermediate results across calls, and built-in rate limiting keeps data-pulling tools within an API's limits without dropped requests.
Web Data Sources give your app eyes on the outside world. Point one at a target (local businesses, competitor pages, listings, reviews) and it pulls fresh records straight into your models: find leads, monitor prices, watch a market. Run it once, or once for every record you already have (pull new listings for each customer's city, refresh every competitor you track), with one bad row never sinking the batch. Every source maps external results to your columns, runs on demand or on a preview-first safety check, respects role and budget limits, and logs every run. Usage is billed in credits, so cost stays predictable.
Upload a .xlsx, .csv, or .tsv file and the AI reads it instantly, extracting sheets, headers, and typed data. No conversion, no workarounds. Business data just works.
Export any table or query result as a spreadsheet in one click. Your app can also save files (reports, images, CSVs) that you can download anytime.
Upload a PDF and extract text, tables, or structured data instantly, with AI-powered extraction that understands invoices, contracts, and reports. Your app can also generate polished, branded PDFs (invoices, reports, certificates) from your own HTML, saved straight to your files. No API keys to wrangle.
Drop in a voice memo, call recording, or meeting clip and your app turns it into searchable text. Transcription is built in. Your automations and code tools can read audio just like any other file, no API keys to wrangle.
Describe what you want and your app creates it: logos, illustrations, product mockups, marketing visuals. Upload a picture to edit it or keep characters consistent across a set. Image generation is built in, saved straight to your files, no API keys to wrangle.
Sensitive actions can require your approval before they run. The AI asks, you decide, and nothing happens behind your back.
Export your entire app (tools, data structure, automations, build rules, and all) as a single file. Import it somewhere else, share it, or keep it as a backup.
How we compare
Plenty of tools build an app from a prompt now. The difference shows up after launch: who operates it, who learns from it, and who keeps improving it.
| Feature | GenieForge | AI Chatbots | No-Code | Custom Dev |
|---|---|---|---|---|
| Build and change the app by talking | ||||
| A real app underneath (own database, pages, automations) | ||||
| AI operates the live app for end-users, scoped by role | ||||
| Captures real-usage signals and ranks them into a roadmap | ||||
| One-click fix straight from a usage signal | ||||
| Documents the reasoning behind build decisions, and reads it before changing things | ||||
| Durable build rules the agent follows (exported with the app) | ||||
| Reviews itself and proposes improvements (opens PRs) | ||||
| Restructure the running app on request, no redeploy | ||||
| Focused AI helpers (sub-agents) with scoped access | ||||
| No engineering handoff to change it | ||||
| Export and own your full app blueprint |
No setup, no coding headaches. Start building, or have us build it. See pricing for plans that match your usage.