AutoZenlyAI
Six AI providers behind one social-media scheduler
The challenge
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.
What we built
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.
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.
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.
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.
The 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.
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