CoreAI

Roadmap

From setup to production AI platform.

This roadmap separates the real setup work from the first runnable platform milestone, so teams can see what has to happen before CoreAI starts processing AI Jobs.

Admin Portal Long-Term Vision API Info

Setup Phase

Readiness

First

Make the practical foundation visible: server provisioning, DNS, repositories, deployment access, secrets, database, Redis, and worker process setup.

  • Server Setup
  • Networking & DNS
  • SSL / TLS
  • GitLab Repositories
  • Deployment Access
  • Environment Configuration
  • AWS Secrets Setup
  • Database & Redis Provisioning
  • Supervisor / Worker Setup

CoreAI 1.0

Foundation

First Build

Establish the operational base: API submission, queue workers, admin dashboard, secure secrets, and the first OpenAI-ready provider structure.

  • REST API
  • Queue Workers
  • Admin Dashboard
  • Provider Abstraction
  • AWS Secrets Manager
  • OpenAI Integration

CoreAI 1.5

Platform

Next

Expand CoreAI into a managed product layer with prompt operations, client management, AI Analytics, retries, and worker monitoring.

  • Prompt Library
  • Usage AI Analytics
  • Cost Reporting
  • Provider Failover
  • API Client Management
  • AI Job Retry
  • Worker Monitoring

CoreAI 2.0

Intelligence

Future

Move from centralized processing into intelligent product capabilities, customer billing models, knowledge systems, routing, and AI agent workflows.

  • AI Credits
  • Customer Billing
  • Embeddings
  • Knowledge Bases
  • Model Routing
  • AI Agents
  • Marketplace Integrations

Expectation Setting

This page is the product roadmap and stakeholder preview. The next real milestone is the setup phase, followed by CoreAI 1.0: a working Hello World AI Job through the API, queue, worker, database, and admin portal, then real provider integrations.