Internal AI Platform

CoreAI

The Intelligence Platform for AI-Powered Products

CoreAI centralizes AI processing for product teams with a reusable API, asynchronous AI Job architecture, provider abstraction, monitoring, reporting, usage tracking, and cost management.

Admin Portal API Information

Platform Status

Phase 1 Foundation

Ready to Build

Stack

CakePHP 5 + MySQL + Redis

Hosting

AWS Lightsail

Security

AWS Secrets Manager

API Host

coreai.bloqs.com

Hello World AI Job Flow

Submit AI Job Queue Worker Admin View

Platform Capabilities

One AI foundation for every product.

01

Provider Abstraction

OpenAI, Claude, Gemini, and future providers connect behind one service layer.

02

Queue Processing

AI workloads move out of web requests and into Redis-backed worker processing.

03

AI Analytics & Cost Control

Central reporting tracks usage, AI Job health, customer activity, and provider spend.

Architecture

Built for scale. Designed for intelligence.

Applications send AI Jobs to CoreAI. CoreAI queues, processes, stores, and reports on the work before returning status and results through a reusable API.

Applications

CMS, Media Library, Privacy Generator, future products

CoreAI

API, queue, workers, admin, reporting

AI Providers

OpenAI, Claude, Gemini, future models

Roadmap

A phased path from concept to production AI platform.

The current static site presents the product direction and management view. Before CoreAI can run AI Jobs, the setup phase covers the infrastructure, repository, networking, deployment, and security details that make the product build possible.

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
  • 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 presentation site is the product vision 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.