Hard to add LLM features — modular Claude-based SaaS feature kit

Hard to add LLM features — modular Claude-based SaaS feature kit targets a $100.0B = 10M software teams x $10K annual spend on dev tooling & AI infra total addressable market with medium saturation and a year-over-year growth rate of 30% = rising adoption of LLMs + developer tool spend.

Key trends driving demand: LLM commoditization -- Higher-quality hosted models (Claude, GPT) make LLM features feasible for many apps, increasing demand for integration tooling.; Retrieval-augmented architectures -- Standardization of vector DBs and RAG patterns drives reusable connector libraries and templates.; Enterprise AI safety/regulation -- Need for auditable prompts, data handling, and role-based controls creates demand for secure, opinionated implementations.; Shift to productized AI features -- Companies prefer packaged feature modules over bespoke experimentation, accelerating market for prebuilt libraries..