File 01Always on

Your AI team · a real system, running daily
Meetings produce commitments. Commitments need chasing. Someone has to brief the team, publish the article, produce the video — and someone has to remember all of it. Here is what it looks like when nobody has to: a team of AI agents with real jobs — one of them always on — working alongside a global team of real people. This exact team runs my company every day.
The difference · built to order
There is no product here, and no template with your logo on it. Every team we build is set up and trained for one business: yours. Your tools, your people, your clients, your voice — and your rules for what an agent may touch, written into the software before it ever says a word to anyone.
That is the difference between an AI subscription and an AI employee. One waits for prompts. The other already knows how your company works.
The example roster · running daily
Shown exactly as we’d build yours
Not a concept, not a demo. These are some of the agents that help run my company — side by side with a remote global team of real people. The meetings get read, the commitments get chased, the articles and videos go out. And the roster runs deeper than this row of badges: more agents cover research, demos, development and more. Four named files follow as one working example — it scales from there.
File 01Always on

File 02Specialist

File 03Specialist

File 04Specialist

Files 05+To spec
Personnel files 01–05
Entered in the ledger · file by file
01
You stop being the bottleneck.
Chief of staff · Lion always on
Leonidas is the persistent agent — not a tool you open, a presence that never logs off. He holds the whole picture so you don’t have to: when work comes in, he decides whose job it is and hands it over with exactly the context it needs. Open questions are kept for a sensible moment instead of pinging you at 11pm, and once a day you get one digest — counts and status, not narrative. Anything touching money, people or commitments comes to you. He surfaces; he doesn’t decide for you.
10 hrs/wk
of chasing status and deciding who does what — replaced by one message a day.
~$3,000 /mo
in coordination labor, carried by the system.

02
Nothing falls through the cracks — ever.
Administration & follow-up · Lynx · Reports to Leonidas
This is the one that surprises people. Twice a day Lyna reads your meeting transcripts and pulls out what everyone agreed to do — owner, deadline, and the quote that proves it. You confirm the list in seconds. Then she runs it: each person gets one brief a day with what’s theirs, a nudge in their own thread, by name, shortly before something is due, and a thank-you when they deliver. If someone pushes back, she doesn’t argue — she brings it to you. Nobody new is ever contacted without your approval, and anything sensitive waits as a draft until you’ve read it.
20 hrs/wk
of chasing, briefing and tracking. Your side shrinks to ~25 minutes of approvals.
~$2,500 /mo
in admin and follow-up labor, off your plate.

03
Client-attracting content, published in minutes — not weekends.
Writing & publishing · Puma · Reports to Leonidas
Paige watches your industry’s news, then asks for the one thing only you can supply: a short, unscripted voice note with your read on it. A perspective is hard to fake and easy to speak. She drafts against a structure and voice you approved in advance — often several pieces from a single recording, each for a different audience — so your review is a check on substance, not a rewrite. Nothing publishes until you’ve said so.
15 hrs/wk
back at five articles a week. Your side is 15 minutes each — talking, then reviewing.
~$2,500 /mo
in writing and publishing labor, every month.

04
You show up on video every week — without filming a thing.
Video production · Leopard · Reports to Leonidas
Lumen takes a piece already on your blog and turns it into a short narrative video in your voice — script, storyboard, generated clips, edit, caption. You approve three times, exactly where mistakes get expensive: after the script, while a rewrite still costs minutes; after the storyboard, before the costly generation step runs; and after the edit, before anything carrying your voice reaches an audience. Every scene is built from character sheets designed once and approved once — like the cast on this page — so everyone looks right in every video.
30 hrs/wk
back at three videos a week. Your side is 30 minutes each, spent across three approvals.
~$5,000 /mo
in video-production labor, month after month.

05
Your people talk to clients — not copy data.
The operations pod · 5+ agents · Report to Leonidas
Behind the named hires sits a pod of five-plus agents on the volume work nobody ever staffs properly: client follow-up, data processing, first drafts of documents. Then the work specific to your industry — reconciliations for a CPA firm, filing prep for a law practice, document-chasing for an insurance agency, client onboarding and support triage for real estate and advisory shops — built to spec and gated exactly like the files above. One impressive hire is a good story. The long tail of your operation, running itself, is the biggest lever in the system.
~100 hrs/wk
of operational volume — the work that never fit anyone’s job description.
~$15–20K /mo
in operational labor the pod carries for you.
However many you run, one habit holds: nothing ships, sends or commits without you.
The accounting · a typical week
~0hrs/wk
of by-hand work across the whole roster above — recovered, every week.
$0K+/mo
in labor, delivered by the team without adding headcount.
~4hrs/wk
is your entire side of it — reviews and approvals. The gates are the job.
Figures assume a working week of 12–15 meetings, 8–10 people being followed up, three videos, five articles, and the pod’s operational volume. Most of those hours are human work now happening with no human doing it — adjust to your own volumes.
The reason this can be trusted with your people and your name is not that the AI is well-behaved. It’s that the system around it assumes it might not be — and makes the misbehaviour impossible, not merely discouraged.
Gates · a person approves
Every message, publish and commitment passes a human gate — yours. The agents produce; you approve. That is the entire shape of your involvement.
Limits · enforced in code
Who may be contacted, how many messages a day, how fast, and the requirement that an assistant says it is an assistant — written into the software, not the prompt. An agent cannot talk its way past them.
Isolation · need-to-know
The agent talking with one of your team holds exactly one task and can see nothing else. If it is ever manipulated, there is nothing there to give away.
Audit · logged by the system
Everything is recorded by the platform, not self-reported by the AI. What you’re told happened can always be checked against what actually happened.
And it sits on top of what you already use — your meeting notes, your task list, the chat your team already answers. Nothing new to learn. Nothing to log into.
The ceiling · there isn’t one
This team is a small slice of what the structure can run. The same bones — a persistent agent, specialist sub-agents, hard limits in code, a full audit trail — staff sales, support, recruiting, operations. Whatever your bottleneck is, it can be hired for.
Open roles
Every quote chased before it goes cold. First replies in minutes, escalation the moment judgement is required. Candidates kept warm; the numbers watched before they become surprises. The dashed outline is the point: these files are drawn, waiting to be filled.
Names · your call
Each one arrives the same way: trained on your business, gated by you, named by you.
One conversation to find the job that costs you most. Then we build that agent, train it on your business, prove it on real work — and grow the team from there. You’ll know in a call whether this fits.