The engine

One engine.
A whole workforce.

The usual AI rollout ends in point-tool sprawl: a chatbot here, a copilot there — ten tools that don't share context, don't compose, and don't report to one ledger. Turtle AI Coworker is one engine instead. Ten native modules share one workspace, one permission model and one audit trail, and every part of every one is yours to configure: tasks, permissions, models, triggers, budgets, approval gates. Build from the ground up with full control — and when you want the running start, a Solution Pack ships these same modules pre-wired into a working department.

Prefer it assembled?Every pack ships these modules pre-wired.Browse Solution Packs
The map

How the modules fit together.

Workers on top, your business underneath, controls around everything: one workspace, every run traced. Each cell is a module; click through.

See how it works
The modules

Ten modules. One system of record.

Native, not bolted on. Every module reads and writes the same workspace, every action lands in the same trace — nothing gets lost between tools, because there is no between.

How it composes

Modules are parts.
Packs are the finished machine.

01 · Modules

Ten building blocks

Agents, teams and employees do the work; tables, knowledge, tools and models ground it; run control, analytics, governance and approvals keep it honest.

02 · Wired systems

Composed, not stitched

An agent writes to a table, a trigger fires a team, an employee owns the lot: one workspace, one permission model, one trace per run.

03 · Installed as packs

The whole job, pre-wired

Solution Packs stand up the finished system: tables, agents, teams, employee, knowledge and triggers, validated and ready in about fifteen minutes.

Browse Solution Packs
turtle/coworker

See the whole platform
working on your job.

Free to start. Install a pack, watch ten modules click together, keep what works.