SAAS / AI📍 Global

AutoZenlyAI

Six AI providers behind one social-media scheduler

Visit Live Project Back to Portfolio

Az

6 unified

AI providers

Multi-platform

Scheduling

Real-time

Analytics

FastAPI + Redis

Backend

The Challenge

Understanding the problem

Content teams juggle a dozen tools: one for writing, another for scheduling, another for analytics — and each AI model has its own strengths and its own dashboard. AutoZenlyAI’s vision was to collapse all of that into one product.

That meant a genuinely hard engineering problem: put six different AI providers behind a single, consistent interface, schedule content reliably across multiple platforms, and show it all working in real time — as a product strangers could sign up for and trust.

The Marketing Angle

Australian marketing teams and agencies frequently struggle with fragmented software subscriptions that eat into business margins. AutoZenlyAI consolidates content writing, multi-platform scheduling, and analytics into a single dashboard, slashing overheads and streamlining operations.

Our Approach

How we delivered results

01

One interface, six AI providers

We built an abstraction layer that routes requests to Claude, GPT-4, Gemini, Mistral, Cohere or Groq behind a single API — so users pick the model that fits the task without ever leaving the app or learning six dashboards.

02

Visual scheduling engine

A drag-and-friendly visual scheduler plans and queues content across platforms, backed by Redis for fast, reliable job handling so posts fire when they are supposed to.

03

Real-time analytics

Performance data streams back into the dashboard so users can see what is working and adjust — closing the loop from generation to scheduling to results in one place.

04

Production SaaS foundations

A FastAPI backend, authentication, and team collaboration turn the concept into a real product with the reliability and structure a paying user base expects.

✓

Final Outcome

"AutoZenlyAI turned a complex, multi-model idea into a single working SaaS — proof that ambitious AI products can be shipped end to end, from architecture to a live app people can sign up for."