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Ten Agents, One Backbone

We ran parts of our own company on ten connected Claude agents—wired into one governed backbone so they behave as a system, not ten clever demos.

AI Operations (Internal Build)

Industry

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Ten AI agents arranged around a single connecting backbone

About the project

Ten Agents, One Backbone is our own answer to a problem we see everywhere: most companies "using AI" are really running ten experiments that never meet. A chatbot in support, a summarizer bolted onto email, a script that drafts posts and quietly rots—each demos well, but together they add up to almost nothing because none of them share data or hand off to anything else.

So we practiced what we sell. We wired ten Claude agents into parts of our own operation: a morning brief that reads the inbox and calendar and surfaces the two or three things that matter, a CRM assistant that flags which relationships are going cold and why, an expense agent that turns a photo of a receipt into a tax-ready spreadsheet where every total is a real formula, a content engine that drafts in our voice, and a Friday report that reads everything the other nine produced.

The interesting part isn't any single agent. They share memory, write to one governed place, and each one feeds the next. The morning brief is only useful because it can reach the calendar and the CRM; the Friday report only works because every agent writes to the same trusted source of truth. Take away that connective layer and you're back to ten clever demos that don't talk.

That connective architecture is what we call the Integration Spine™—and it's the whole game. An AI agent is only as good as the data and actions it can safely reach; with one shared backbone (connected through APIs and, where it earns its place, MCP) it discovers approved capabilities and does something real. We proved the model at company-of-one scale, then productized it as Claude Automated Workflows & Training: map the work, wire what matters, train your team to own it.

10
Connected Claude agents
1
Shared governed backbone
5+
Workflows automated end-to-end

Project Type

  • Claude AI

  • AI Automation

  • Integration Spine™

Tech Stack / Toolbox

  • Claude AI

  • Claude Agents

  • MCP

  • Model Context Protocol

  • APIs & Integrations

  • Shared Memory / Governed Backbone

How jordan_digital Delivered Value

AI Systems Architect & Automation Engineer

  • Mapped the repeated, high-friction work worth automating and defined the one governed place every agent reads from and writes to.
  • Built ten Claude agents for real jobs—morning brief, CRM triage, receipt-to-spreadsheet expensing, in-voice content drafting, and a weekly report that synthesizes the other nine.
  • Wired the agents into a single backbone with shared memory so each hands off to the next automatically instead of running as isolated toys.
  • Connected agents to trusted data and real actions through APIs and, where it earned its place, the Model Context Protocol (MCP).
  • Designed guardrails and a single source of truth so automation stays trustworthy as it scales.
  • Proved the model at company-of-one scale, then productized it as Claude Automated Workflows & Training.

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