GroundPound

名称: GroundPound Description: GroundPound is a platform that enables users to create and deploy coordinated teams of AI agents tailored to specific business operations. Instead of relying on a single AI model or a rigid automation workflow, users describe their business in plain English, and the system uses a short conversational interaction to identify the most suitable template. This template assembles a structured team consisting of a coordinator, one or more specialist agents, dedicated communication channels, and a shared knowledge base — all automatically wired together before the first task is executed. The coordinator acts as the central orchestrator, assigning tasks to specialists based on their designated roles. Specialists can hand off outputs to one another, run on scheduled intervals (e.g., daily reports, recurring data processing), and automatically pause for human approval before executing any action that the system flags as risky or irreversible. Every agent team operates within strict row-level security (RLS) tenant isolation, meaning data from one business unit or client cannot be accessed by another. Users can bring their own model key (BYOK) using supported providers like Claude, GPT, Gemini, Grok, Mistral, and Llama, or they can select the optimal model per task — for example, using a faster model for simple classification and a more advanced reasoning model for complex analysis. All webhook callbacks are signed for verification, preventing unauthorized triggers. The platform provides real-time monitoring of agent runs, costs (with granular MTD cost tracking), and system health status, as shown in the example dashboard for "Acme Co · Field Ops" with $1.40 monthly cost over 312 runs. Practical use cases include automated customer support triage (coord