Case study · SaaS / AI

AutoZenlyAI: Six AI providers behind one social-media scheduler

A SaaS product that puts six AI providers behind one interface, schedules content across platforms and reports results in real time.

ClientAutoZenlyAI
IndustrySaaS / AI
Timeline8+ weeks
DeliveredSaaS Product Build · Multi-LLM Integration · Scheduling Engine
autozenlyai.com
AutoZenlyAI homepage, built by Build First Site
The problem

What had to change

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.

Social media app icons on a sign
Illustrative photo · Unsplash

Who it’s built for

Each part of the build answers a real moment where the sale or the enquiry could be lost.

The content writer

“Which AI is best for this post?”

Each model has its own strengths and its own dashboard.

Fix: Pick Claude, GPT-4, Gemini, Mistral, Cohere or Groq from one place.
The social manager

“Did it actually go out?”

Scheduling across platforms breaks quietly.

Fix: A visual scheduler backed by Redis so posts fire on time.
The team lead

“What’s working?”

Results live in yet another tool.

Fix: Real-time analytics in the same dashboard.

What we built

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.

How it fits together

The path from a visitor arriving to the job being done.

Userwrites and schedules
Web appNext.js
AI router6 providers, one API
Job queueRedis
BackendFastAPI

Results

6 unifiedAI providers
Multi-platformScheduling
Real-timeAnalytics
FastAPI + RedisBackend

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.

Built with

Next.js 14fast pages
FastAPIreliable backend
Redison-time scheduling
ClaudeAI writing
GPT-4AI writing
GeminiAI writing

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