Complex work
can’t be completed
by a single AI.

Stop babysitting AI. Your people set the requirements and make the decisions — nothing else.

GIZIN FLEET orchestrates AI agents, each with its own role,
and moves the work forward under your command.

It runs on your machines and drives Claude Code and Codex to finish the job.

01The problem

Leave it to a single AI, and people end up babysitting it

People watch what the AI does, stop it when something goes wrong, check the output, and give the next instruction, over and over. The more the AI produces, the more human review becomes the bottleneck.

“AI babysitting” has become a common expression among developers.

“…no slower than doing it myself (but I still didn't feel it was any faster, since I was mostly babysitting an agent).”
Mitchell Hashimoto, “My AI Adoption Journey” (co-founder of HashiCorp)

“When coding agents open the majority of your pull requests, the scarce resource stops being code and becomes attention, and three engineers on our team, with no shared plan, each solved that the same way: assign a second agent to babysit the first one's work.”
Zack Proser, “Agents babysitting agents” (WorkOS)

+30%

Code volume

AI output went up

+49%

Time to merge

Human review is the bottleneck

No gain

Work completed

No statistically significant increase

Harvard / Jellyfish data, 718 companies

02The solution

Split AI by role to remove the limits of a single AI

The limits of a single AI come from giving all the work to that one AI. Split the roles, and things change like this.

TOOLS

Give a single AI every job

A screen where a person works with a single AI in a black terminal

FLEET

Split AI by role

Intake

Work

A separate intake AI answers inquiries, even mid-task

Work

→← Rework

Review

→

Confirm

A separate reviewer AI sends mistakes back for rework before they reach people

Decide

Standby

AskAllowed scope

Nothing starts until you give the GO; when unsure, it asks and waits

But with multiple AIs, things get chaotic without a way to orchestrate them.

GIZIN FLEET is that mechanism.

03How it works

With FLEET, people are left with only requirements and decisions

FLEET process details screen (PC) — Process details (PC) and a pending decision (smartphone). Both are real screens.

Pending decision screen (smartphone) — Process details (PC) and a pending decision (smartphone). Both are real screens.

A different AI from the builder checks the output

When a task includes a review step, an AI other than the one that built it checks the work and sends it back if it doesn’t pass.

Stops where a human decision is needed and hands only the decision to people

Work doesn’t start until the GO. It stops where a decision is needed, and you answer a YES/NO question from your phone, with the context you need.

04Process design

Lay out each job’s steps and assignees on a single card

One card brings together what the work is and how it gets done. Read from top to bottom, it shows who does the work, in what order, and where people check it.

The full FLEET card screen. Below the problem, cause, solution, and risks and rollback are the steps, each with its assignee and model, and the human checks — A real card screen, shown in Japanese. It lays out nine steps across eight AI employees, plus two human checks, on a single card.

From problem to rollback, all on one card

The top of the card sets out what the problem is, its cause, the solution, and the risks and how to roll back.

Choose an assignee and model per step

Build, review, proofread. Each step gets its own AI employee, with a choice of model and effort.

Build human checks into the process

Checks along the way and the final check are steps like any other. Human steps are labeled “Stops for your check.”

05What FLEET is

Runs on your machines. Records and deliverables don’t leave.

FLEET has no AI of its own. On your machines, it orchestrates and controls the Claude Code and Codex CLIs.

Records and deliverables don’t leave your company.They are stored on your machines. The only things that go out are queries to the AI you’ve contracted (which include the content needed for the work) and the integrations you choose to use (such as Slack).
Your AI contracts stay as they are.FLEET runs on your current Claude and OpenAI contracts, and their usage limits still apply.
No lock-in to a specific AI.Choose Claude Code or Codex for each AI.
You define up front what AI may touch, and FLEET stops it at the boundary.Deletions and reads of secrets (keys, passwords) are blocked before they run.

06Personification

Faces and names on AI aren’t there to make you fond of them

Faces and names are identifiers. They help you tell many AIs apart, call on them, and understand the behavior patterns that come with each role. And because you can trace who did what, they speed up solving problems when they occur.