Rapid AI Deployment with the Esoteria Framework
How we deploy micro-SaaS and custom agents using Supabase, Vercel, and Ollama within days.
11/11/2025
6 min
devopssaasprototyping
Overview
Traditional software cycles are too slow for modern AI innovation. Esoteria's framework enables teams to deploy AI-powered prototypes in days—not months.
Our Method (Rapid Deployment Stack)
We use a streamlined development pipeline:
- Step 1: Initialize micro-SaaS skeleton in Next.js.
- Step 2: Connect Supabase for auth, data, and analytics.
- Step 3: Deploy via Vercel with preview environments per branch.
- Step 4: Integrate AI model endpoints (OpenAI, Gemini, Ollama) via unified agent interface.
Key Components
- Next.js + TypeScript base app.
- Supabase backend for multi-tenant data.
- Vercel CI/CD automation.
- Ollama for local testing or private model hosting.
Implementation Notes
Our pairing of Claude in VS Code with live preview pipelines ensures rapid iteration. The Esoteria Framework supports both hosted and self-contained deployments.
Extensions / Add-Ons
- Stripe or Lemon Squeezy billing.
- Embedded analytics.
- Multi-tenant environment variable support.
Work with Us
We can convert your proof-of-concept into a production-grade SaaS with minimal refactoring, maintaining a clean, scalable structure.