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A CEO prototyped an AI agent using Claude MCP and NetSuite, but it failed to scale. BotsCrew rebuilt the stack, achieving 50% automation, 24x faster responses, and $140K annual savings.
The author discusses using Bluedot's AI meeting data as long-term memory for agents via Claude MCP integration, enabling querying of historical meeting transcripts and action items.
The author discusses testing AI meeting note tools, highlighting Bluedot for its searchable context and the value of querying meeting history naturally via Claude MCP, while questioning whether local models can match cloud tools.