Minded (Agentsforce) is a platform for creating enterprise-ready AI agents from plain-English prompts, refining agent behavior with a visual editor, and further customizing via code in a customer IDE or SDK. The product emphasizes production readiness and an Agent Development Lifecycle (ADLC) that includes testing, monitoring, analytics, and cross-functional team workflows. Public site content highlights features such as LLM-specific testing and QA tooling (including automated multi-run tests), an LLM-based QA Agent for analyzing tickets and anomalies, CustomerGPT for simulating customer tickets and generating training/test data, and an analytics dashboard with metrics like resolution rate and agent vs human performance. No public pricing, plans, trial details, downloadable SDK, or technical API reference pages were found; terms reference a Dashboard, SDK, and APIs but developer access/documentation appears gated by account, SOW, or sales engagement. Legal and privacy pages emphasize customer ownership of data and agent outputs, platform IP retention by Minded, payment terms and non-refundable fees, and privacy practices including potential use of customer-provided content to operate and improve the service. Onboarding appears demand-driven (lead capture/sales-driven). Recommended next steps include contacting sales for pricing/SOW/trial, requesting technical docs and integration guidance, clarifying data training and security/compliance, requesting references/case studies, and seeking legal clarifications on IP and liability.