AI Generators - Start From One Prompt

An AI app builder transforms natural language prompts into fully functional software applications. Instead of writing code or configuring complex tools, you describe what you need and the AI generates it.

Taskade Genesis takes this further. Every app you create is powered by three interconnected layers of Workspace DNA:

• Memory (Projects) — Your data becomes the backend
• Intelligence (Agents) — AI teammates that think and decide
• Execution (Automations) — Workflows that act across 100+ integrations

This is not only app generation. The app stays connected to your workspace data, agents, and automations.

Create your first app →

Bundled SaaS forces you into someone else's workflow. You pay per seat, get features you don't need, and lose flexibility. Teams are replacing these rigid products with custom tools built for their exact needs.

The shift is happening:

• No more per-seat fees — Build once, share with everyone
• No vendor lock-in — Your tools, your data, your rules
• Perfect fit — Apps that match your workflow exactly
• Continuous evolution — AI agents improve from your data

This is the same pattern that made VPS hosting beat shared hosting. Custom infrastructure wins because it adapts to you, not the other way around.

Compare Taskade to alternatives →

Genesis uses your Workspace DNA — the accumulated knowledge in your projects, agents, and automations — to build contextually intelligent applications.

The process:

1. Describe what you need in plain English
2. Genesis analyzes your workspace context
3. It generates projects (data), agents (logic), and automations (actions)
4. Preview, iterate, and refine with natural language
5. Publish — your app is live

Every app stays connected to your workspace. When your data changes, your app reflects it. When your agents learn something new, your app gets smarter.

No coding, no configuration, no technical background required. If you can describe what you want, you can build it.

What you can create without code:

• Dashboards and analytics views
• Client portals and booking systems
• CRM pipelines and lead trackers
• Internal tools and approval workflows
• Landing pages and documentation sites

For those who want deeper control, Genesis supports custom logic and API integrations via the Execution layer. But it's never required.

Browse templates for inspiration →

Anything you'd otherwise buy as SaaS or hire a developer to build. Teams use Taskade generators to create:

• Business apps — CRMs, invoicing, inventory management
• Productivity tools — Task trackers, meeting planners, note systems
• Client-facing portals — Booking pages, project dashboards, support centers
• Internal operations — HR workflows, approval systems, reporting dashboards
• Marketing assets — Landing pages, form builders, content calendars

Each generator is a starting point. Customize the output, connect your data, and add AI agents to make it intelligent.

Browse 100+ generators →

Traditional no-code platforms require manual configuration, database setup, and workflow building. You're still doing the engineering work, just without code.

Genesis is different:

• AI-first — Describe what you want, not how to build it
• Living systems — Apps evolve as your Workspace DNA changes
• Built-in intelligence — AI agents handle logic, not just you
• Connected by default — Everything talks to everything else

Bubble and Retool give you building blocks. Genesis gives you working software from a prompt. The difference is hours vs. minutes.

Compare Taskade vs Retool →

Every Taskade Genesis app combines three connected systems that form Workspace DNA:

Memory (Projects): Your app's database layer. Custom fields, table views, and structured data that agents can query and automations can update.

Intelligence (Agents): Your app's reasoning layer. AI agents read from memory, make decisions, and trigger actions based on context.

Execution (Automations): Your app's action layer. Automations connect to 100+ integrations, process events, and feed results back into memory.

These pillars work in a continuous cycle. Memory provides context → Intelligence makes decisions → Execution takes action → Results flow back to Memory → Cycle continues.

Results write back to Memory, so the next run starts with more context.

Explore the AI Platform →

Credit cost varies by model and complexity. A typical app generation uses credits during the build and iteration phase — each prompt, edit, and AI-powered refinement consumes credits based on the selected model tier.

Key insight: Once published, your app runs for free. Visitors can use it without consuming your credits. Credits are only used while you are building and editing in the Genesis editor.

Use lighter models for quick iterations and reserve frontier models for complex logic. Monitor usage at Settings → Usage. See Model Credits for per-model costs.