Paperclip-style AI workforce

Who is in the loop

• Work queue Trigger
• Research agent AI agent
• Ops agent AI agent
• Sales agent AI agent
• Owner approve Human
• CRM · email System
• Control panel System

Step by step

1. 01

   Work lands in the queue

   A goal drops into the company queue—research a prospect, draft a follow-up, prep a vendor note. No more copy-pasting across five chat tabs.

2. 02

   Specialists claim the job

   Research, ops, and sales agents pick up only what matches their role. Handoffs are explicit so work doesn’t die in someone’s DM.

3. 03

   Research feeds the pack

   The research agent pulls sources and a short brief. Other agents use that shared context instead of re-Googling the same account.

4. 04

   Human approval gate

   Money- or brand-sensitive actions pause for the owner: outbound send, price language, or anything that touches a customer. Approve, edit, or kill—agents wait.

5. 05

   Approved work hits real tools

   After approval, agents write to CRM, email, or docs you already run—not a sandbox demo that never leaves the slide.

6. 06

   Status and cost on one panel

   The control panel shows what’s running, what’s waiting on you, and rough spend so the workforce stays governable after week one.

How it ships

Every build starts with a fixed-scope workflow audit — one week, priced before we begin. Then a QuickStart of two to four systems wired into the tools you already run. Ongoing management is optional.

No invented numbers on this page. What you see above is the actual sequence, not a projection of what it might do for you.