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SaaS • AIProduct team (spaceguideai.com)

SpaceGuide AI — Content & Image SaaS

Full-stack
Stack
Multi-tenant
Scope
Live
Status

Architecture at a glance

Tenant / auth
API layer
LLM + image jobs
Product UI

The Challenge

The team needed a credible multi-tenant SaaS around AI-assisted content, image generation, and conversational UX—not a one-off script or a single overloaded OpenAI call. Requirements included stable auth and tenancy boundaries, fair usage so free tiers could not tank margins, and enough observability to debug model and image failures in production. Product polish mattered: latency-sensitive flows, retries on flaky providers, and admin controls for blocking abusive accounts.

The Solution

End-to-end product engineering from API design through deployment. Service boundaries separate user/auth concerns from content and media pipelines; LLM and image providers sit behind adapters so keys, rate limits, and fallbacks can be tuned without rewriting business logic. Background-style processing where appropriate for image jobs; synchronous paths kept thin for chat and core CRUD. Dashboard and customer-facing UIs wired to real usage data so the team could see what was burning budget and where drop-off happened.

Results

Live multi-tenant SaaS at spaceguideai.com
AI content + image workflows running in production with operational playbooks
Tenant-aware APIs and admin paths suitable for ongoing product iteration
Separation of provider adapters from core domain logic (easier swaps and cost control)

Tech Stack

Multi-tenant SaaSReact / Next-style frontendsNode.js APIsLLM provider integrationsImage generation pipelineJob / queue patternsCloud hosting

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