One human and fourteen AI specialists, working as a team.

01The team

Imagine a small company. Now imagine each role is filled by a software specialist that never takes a day off.

Front of house: talks to leads & customers

Scott

Screens new leads from ads or web forms. Quick filter: real loan officer, target customer, worth talking to.

Larry

Answers new leads in under a minute. Asks four qualifying questions. Routes the keepers to the calendar.

Nadia

Welcomes new paying customers with a 30-day feature tour, shares a new feature every week, and reaches out when someone stops using the product.

Rita

Thanks customers who refer other customers. Sends a weekly recap with real numbers.

Carter

Customer service. Answers billing and account questions by email, teaches features from a how-to library, and picks up the phone when a lead calls in.

Back of house: runs the business

Dana

The manager. Reads everything, posts a daily briefing. You can chat with her: “Dana, ask Max to draft an email about X.”

Pete

Runs the CRM. Once a week, proposes new initiatives the team should work on next.

Alex

Watches how customers use the product. Flags anyone going dark before they cancel.

Edith

The on-call engineer. Diagnoses problems at 3am, suppresses noise, only wakes the human if it really matters.

Mike

Tracks the bills. Knows where every dollar goes across providers.

Edwin

Keeps the email list clean. Checks every message before it goes out, so the team never emails anyone who bounced, complained, or unsubscribed.

Annie

The quality inspector. Reads the product’s AI conversations after the fact and catches slip-ups nobody reported. An AI whose whole job is auditing the other AIs.

The creative team

Max

Writes ad copy, social posts, email drafts. Every piece runs through human approval before going live.

Derek

Generates the images that go with what Max writes. Makes two candidates, picks the better one.

02What makes this different

Three things separate this from a typical AI tool.

03The shared notebook (and where it came from)

The thing that ties the team together, that one place every agent reads and writes, is an idea called Open Brain. It’s an open-source pattern by an engineer named Nate B. Jones: instead of every AI tool having its own separate memory, you give them one shared database with vector search and a common protocol, and they all plug into it.

We took that core idea and built it out for a real SaaS company. The agents don’t just remember things individually. They share an event log, a workstream tracker, an approval queue, and a vector memory of past conversations. When Larry talks to a new lead, Pete sees it. When Alex spots a quiet customer, Nadia knows. That’s Open Brain, adapted.

Source pattern: github.com/NateBJones-Projects/OB1

04Want to go deeper?

Two more docs sit behind a quick request form. I review every request myself and reply within a day.