Practical answers before you buy.

No. Our standard hardware platform is a Mac mini, but the service is the out-of-the-box local AI system: installed software, default authorized ChatGPT connection, account setup, workflow setup, documentation, training, and launch support.

We configure the assistant software, approved account connections, local business memory, workflow instructions, and review controls. Your written scope lists the installed tools, AI connection, and tasks included.

We confirm a supported connection for your account and workflows during scoping. Subscription access, usage limits, API billing, and data policies depend on the selected provider and account; they are not interchangeable. Any separate subscriptions or usage charges are identified before setup. Changing the model connection requires testing the workflows again.

Supported model connections can change within an agreed scope. Your local files and business instructions remain yours, but compatibility, permissions, cost, and workflow behavior must be checked before switching.

Standard and Custom each include one new Mac mini in the package price. We procure and configure the device; specifications are confirmed in writing. Enterprise hardware is included as defined in its proposal. Displays, keyboards, mice and additional equipment are included only if listed in the written scope. Apple inventory and carrier delays can affect timing. Phone carrier/SIM service, paid software subscriptions, API usage, domain/hosting, and unusual procurement requirements are handled separately unless written into the final scope.

The Mac mini gives the business an owned base for workflow memory, project context, examples, local files, approval rules, and connected accounts. Instead of spreading sensitive work across random chat threads and tools, the system is organized around a device and operating setup the business controls.

Models and AI tools will keep changing. A local AI system gives the business a stable place for workflow memory, examples, preferences, files, approval rules, and project context. When a better model or tool is added within scope, it can work from the same approved operating base instead of making the business rebuild its context from scratch.

No. This system can connect to cloud services such as ChatGPT, Gmail, Apple, and Google Workspace when those tools are approved. The value is local ownership and permission management: files, memory, workflows, and authority are organized around the client's Mac mini and rules instead of being left loose across unrelated accounts.

Yes, if the client approves that path and access is handled securely. The preferred setup is dedicated Apple, Gmail, and Google Workspace access so the local AI system has a clean operating environment.

Only access required for the workflows in the agreed scope. The business authorizes each connected account and keeps control of its credentials and permissions. Dedicated accounts are preferred when practical, and a workflow can be staged with limited access before broader permissions are considered.

The system can prepare work, place it in a review queue, and wait for an authorized person to approve the next action. For example, it can draft an email and assemble the supporting context without sending it. The approval rules, responsible person, and allowed actions are documented for each workflow instead of relying on a vague promise that the AI will know when to stop.

Messaging is limited to whatever Apple provides through the configured Apple account, iMessage, and Messages capability. SMS to ordinary phone numbers is not promised unless Apple-supported relay/service conditions are met.

Not by default. External actions should happen only inside approved workflows, with clear permission rules and human approval where the business wants it.

Permanent deletion is not part of the default workflow. If cleanup is approved, the system should move files only to a local review/trash folder so the client can manually inspect and delete them.

Common use cases include drafting, summarizing, file organization, email preparation, Google Workspace work, content production, research, intake preparation, document review, follow-up preparation, image/video concepts, and repeatable operational checklists.

The business needs to explain the current workflow, identify the people and accounts involved, approve access, review test output, and complete handoff training. Local AI Developer handles the system build, configuration, workflow documentation, and testing. The goal is to keep owner involvement focused on decisions only the business can make, not turn the implementation into another do-it-yourself technology project.

Before automating a workflow, define a small baseline using measures the business can verify, such as response time, staff minutes per item, missing next steps, turnaround time, or booked appointments. After launch, compare the same measures. The useful question is not whether the AI looks impressive; it is whether the approved workflow saves time, reduces dropped work, or creates more consistent follow-through.

Standard setup is approximately seven business days after account and hardware intake is complete. Procurement and shipping are separate; we confirm current availability and your delivery schedule in writing. Complex Custom Builds can occasionally take longer when the scope includes deeper integrations, unusual workflows, custom dashboards, website/app work, or extra testing.

Launch support follows your package: Standard includes a first-week window with up to 10 hours; Custom includes a two-week window with up to 15 hours. Enterprise care and ongoing work follow its written scope. See the Packages page for current coverage; additional work is quoted before it begins.