SpaceGuide AI — Content & Image SaaS
Architecture at a glance
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
Tech Stack
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