01
The Studio edition is identified
Every certified configuration will state whether it is intended for The DagonTEK Studio Local, The DagonTEK Studio Connected, or both.
DagonTEK Studio Certified Machines
A known machine. A known workload. A known starting point.
The DagonTEK Studio is more than an AI chat installed on a computer. Its practical capability depends on the intelligence it uses, the production software it can operate, and the hardware available to complete the work.
Why certification matters
Buying the software should not begin with guessing whether the computer can do the work.
A customer may want business communications, websites, animation, CAD, fabrication, graphics, audio, video, live production, or a combination of them. Those workloads do not require the same machine. DagonTEK Studio certification will identify what a tested computer is prepared to do, which Studio edition it supports, and which production applications and connected equipment were tested.
02
The workload is identified
A machine prepared for documents and communications is not presented as a machine for demanding local animation, CAD, rendering, or model generation.
03
The production environment is prepared
The supported operating system, storage, memory, graphics capability, approved applications, drivers, and Studio integrations are documented and tested together.
04
The recovery path is tested
The project record, file map, versions, decisions, and recovery trail must remain available after an interruption, restart, or failed production step.
The DagonTEK Studio Local
The machine supplies the intelligence.
A Local-certified machine must be capable of running its approved local AI model and the stated production workload. More demanding local generation, rendering, CAD, and media work will require stronger graphics hardware, more memory, and more storage.
The DagonTEK Studio Connected
The cloud supplies advanced intelligence.
A Connected-certified machine can use authorized cloud intelligence while locally managing files, project records, and installed tools. That lowers the local AI hardware requirement, but it does not eliminate the hardware required by the production applications themselves.
The projects are proof of work—not toys.
Printed parts, puzzle assemblies, keychains, animation tests, websites, sound work, and production demonstrations expose real problems: scale, materials, support strategy, application control, file handling, revision, failure recovery, and final delivery. Each project helps define what the Studio and a certified machine must reliably accomplish for another person.