No-code vs. Developer-built stack for AI startup?

I've been tasked to assist an AI-native startup focused on compliance automation in the pharmaceutical industry — think agents that handle tasks like medical information triage, promotional material review, and regulatory prep.

Right now, I’m at a fork in the road and would love your perspective:

Option 1:

I can build the MVP entirely in Make.com, n8n, Pinecone, OpenAI, etc. — fast, modular, and flexible. I have no-code experience, and the workflows aren’t super complex (yet). I’d use email triggers, agentic RAG, and structured responses + weekly reports.

Option 2:

Bring in a dev/team to help build a more "proper" backend (Node, Supabase, Postmark, Pinecone, etc.), with custom APIs, more robustness, and longer-term scalability in mind.

So here’s the real question:

If you were launching a high-trust, B2B AI product for enterprise (compliance-heavy) clients — would you stay no-code until revenue, or go developer-built from day one?

I'd love some insight from those who've been here, done that!

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