AskLibra AI Apps Marketplace
A platform architecture for turning specialized AI workflows into installable applications with public discovery, trial acquisition, app-scoped entitlements, installation state, onboarding, capabilities, and restricted app workspaces.
Role
Product Strategist, Systems Architect, AI-Assisted Full-Stack Developer
Platform
Web SaaS Platform
Status
Live Beta
Year
2026
Platform architecture with private application details
The case study presents the public product model and architecture without exposing private customer data, secrets, or internal deployment configuration.
Overview
AskLibra AI Apps Marketplace is a platform layer for shipping specialized AI applications without turning every application into a separate product architecture.
The marketplace separates discovery and acquisition from app execution. An app can move through acquisition, entitlement, installation, setup, ready, and lifecycle states while maintaining its own capabilities and connections within shared platform rules.
Problem
A growing collection of AI tools becomes difficult to operate when every app implements its own acquisition, access, onboarding, and workspace behavior.
- Inconsistent app acquisition flows
- Entitlement logic duplicated across products
- Unclear distinction between installation and access
- Different onboarding patterns for each app
- Workspace permissions mixed with app capabilities
- Difficulty scaling from one AI tool to a product family
- Need to connect specialized workflows to automation runtimes
Solution
The platform defines a shared lifecycle: discover -> acquire/trial -> entitlement -> install -> setup -> ready -> expire/suspend -> paid/restored.
Apps declare their product behavior while shared platform services handle cross-cutting concerns such as acquisition state, entitlement, installation, and capability boundaries. This creates a reusable contract for future AI applications.
App lifecycle
Each application follows a governed lifecycle while retaining its own domain workflow.
- 1
Discover
Users browse the public AI Apps marketplace without entering a workspace.
- 2
Acquire or trial
The user starts the appropriate acquisition flow.
- 3
Entitlement
The platform resolves whether the user is allowed to use the app.
- 4
Install
The app becomes associated with the user's app-level installation state.
- 5
Setup
The app collects only the configuration and connections it needs.
- 6
Ready
The user enters the restricted app workspace.
- 7
Lifecycle
Expiration, suspension, payment, and restoration are handled as platform states.
Platform areas
The marketplace provides shared platform primitives while individual apps own their domain workflows.
Discovery and acquisition
Public product discovery and app-specific acquisition flows.
- Public marketplace
- Product overview pages
- Get Started flows
- Trial states
- Acquisition state
Entitlement and installation
Shared access state without requiring every app to recreate billing and installation logic.
- App entitlement
- Installation records
- Lifecycle states
- Paid/restored state
- Suspend/expire handling
App onboarding
App-scoped setup that stays separate from the broader workspace product.
- Setup state
- App connections
- Capabilities
- Ready state
- Restricted app workspace
Execution and automation
Specialized apps can connect their domain events to workflow automation and runtime handlers.
- App APIs
- Internal handlers
- Webhook contracts
- n8n workflow packages
- Domain events
My role
I designed the marketplace and app lifecycle model, separated platform concerns from app concerns, defined entitlement and installation states, and directed implementation and validation across the application platform.
AI-assisted, human-directed development
AI accelerated implementation, refactoring, debugging, documentation, and test scaffolding while product architecture, lifecycle rules, access boundaries, and acceptance decisions remained human-directed.
AI accelerated
- Implementation scaffolding
- TypeScript fixes
- Component refactoring
- API implementation
- Debugging
- Documentation
- Test support
Human direction and ownership
- Platform model
- App lifecycle
- Entitlement boundaries
- UX decisions
- Security boundaries
- Acceptance criteria
- Final validation
Architecture
Technology stack
Technical challenges
Separating app access from workspace access
Defined app-scoped entitlement and installation behavior without changing the broader workspace authorization contract.
Reusable lifecycle states
Modeled acquisition, entitlement, installation, setup, and lifecycle transitions as reusable platform concepts.
Multiple apps, one contract
Created shared platform primitives so specialized AI applications can follow consistent acquisition and onboarding behavior.
Automation integration
Connected app-domain events to webhook and internal handler patterns suitable for n8n workflow packages.
Quality assurance
Build integrity
- TypeScript checking
- Production builds
Functional validation
UI and live validation
Results
Dashboard Lighthouse audit
10-app architecture
Platform
Shared lifecycle
Acquisition
App-scoped
Access model
Automation-ready
Execution
What this project demonstrates
AskLibra AI Apps Marketplace establishes a reusable product layer for shipping multiple focused AI applications without rebuilding acquisition, entitlement, installation, and onboarding infrastructure for every app.
- Treat app lifecycle as a platform contract
- Separate installation from entitlement
- Keep app capabilities narrower than broad workspace permissions
- Build automation integration around explicit domain events
More work is being documented.