Many teams — from startups to mid-market product orgs — struggle with brittle, costly, and privacy-sensitive text workflows like summarization, classification, and content generation that require stitching together models, infrastructure, and ad-hoc heuristics. Developers face unpredictable costs, inconsistent output quality, and compliance worries that slow integration and leave manual work in place. You could build a developer-first API suite with simple REST endpoints and SDKs that expose reliable text analysis and generation primitives, predictable billing (e.g., fixed ACV tiers or usage caps), and privacy-by-default options such as no retention, enterprise-hosted deployments, or contractual data guarantees. The product would prioritize deterministic performance, easy composition of primitives, and clear cost/performance tradeoffs so engineering teams can ship quickly. This is an attractive market right now: estimated TAM $12.0B (3.0M businesses × $4K ACV) with a market score of 90/100 and revenue potential 80/100, driven by rapidly improving generative models and a shift toward developer-first AI primitives. Demand is high but adoption will favor simple SDKs and predictable pricing. You can differentiate by defaulting to privacy guarantees, transparent SLAs, and a best-in-class developer experience, which directly addresses the biggest customer pain points. That said, competition is high and margins will be pressured by model costs and incumbents, so this is worth pursuing if you can secure a defensible niche (verticals, compliance, or significantly better developer ergonomics) and tightly control operational cost.