十智能体分工把客户需求做成可交付 CRM

88n77 @88n77n原推发布于 2026.10.06

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GPT-6 ASTRA, BUILD ME SOMETHING A CLIENT WOULD PAY FOR The brief I'd give my ten-agent setup is deliberately ordinary: a small business gets enquiries through forms, email and spreadsheets. Someone spends every morning copying them into a CRM and trying to remember who needs a reply There's a project in that mess. Getting it ready for a client means answering a lot of questions before the interface looks impressive What happens when the same person submits twice? Which fields can be missing? Who owns the next action? Where does a failed import go? What exactly am I promising to maintain? That's how I split the work in the architecture from my article. CHIEF keeps the brief. SCOUT and ANALYST work through the inputs and constraints. BUILDER creates the workflow. WRITER turns the result into instructions someone else can follow PRICER works through the scope and ongoing costs. OUTREACH and CLOSER prepare the customer conversation. LEDGER holds the decisions. REVIEWER checks the package against what was actually requested The animation pulls those layers apart, then assembles them into one sample CRM. Each layer represents a different piece of the delivery. It's a visual model of the setup, with an interface concept at the end The handoff matters most to me. If the reviewer finds a duplicate-contact bug, that finding needs to travel back with the failing input and the expected result. If fixing it changes the scope, the estimate and delivery notes need to change with it I still have to find a customer, check the work and stand behind what I sell. The commercial opportunity is in carrying an annoying business task all the way through to a usable delivery That's the direction of GPT-6 Astra: A Money Machine. 10 Agents, 10 Steps: one brief, ten defined responsibilities, and a finished package I can put in front of a client.

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