Originally published on AIdeazz — cross-posted here with canonical link.
You're building an AI product. You've got a working prototype, maybe some early users. The technical decisions are piling up: should you commit to OpenAI or build provider abstraction? Is your Docker Compose setup going to scale? When do you need Kubernetes? You know you need senior technical leadership, but you can't afford a $300k full-time CTO yet. Enter the fractional CTO — but what do they actually do beyond "strategic guidance"?
I've been on both sides: as a technical executive at scale and now building multi-agent systems at AIdeazz. Here's what fractional CTO work looks like in practice, based on real architecture decisions, vendor negotiations, and the unglamorous reality of shipping AI products.
The Architecture Decisions That Actually Matter
Most AI startups face the same early architecture crossroads. The fractional CTO's job isn't to build your product — it's to ensure you don't paint yourself into corners that cost six figures to escape.
