Make in-app AI agents aware of product state to reduce repeated context and support load

Make in-app AI agents aware of product state to reduce repeated context and support load targets a $3.6B = 120K product-led SaaS companies × $30K ACV on developer tooling and agent infrastructure total addressable market with medium saturation and a year-over-year growth rate of 25% YoY growth estimate for AI developer tools and in-app automation adoption (sources: industry reports and LLM ecosystem growth trends, 2023-2025 aggregated).

Key trends driving demand: In-app copilots are shifting from experimental chat widgets to workflow automation that must understand product state — this increases demand for SDK-level integrations.; Vector databases and embeddings are making retrieval-augmented agents both more accurate and cheaper, enabling real-time product-context retrieval at scale.; Enterprises and regulated sectors require permission-aware, auditable connectors, creating demand for SDKs that enforce RBAC and data residency.; Open-source developer frameworks are becoming the on-ramp for many teams building AI features, creating an opportunity for a widely adopted SDK standard..