Installation

Before installation

Confirm the supported operating environment, model runtime, database requirements, storage locations, and permissions. Keep a recovery point before altering an existing installation.

Use the release’s procedure

Do not substitute generic commands or copy another deployment’s credentials and configuration. Confirm package provenance and the intended target before applying changes.

After installation

Check application access, model availability, a short conversation, and persistence after refresh. Verify representative document and media work separately.

Availability

Contact the project for release and access information. This page does not offer an installer or imply that a publicly downloadable package is available.

Current access and setup

FridayLocalAI is available through early-access inquiries. Contact the project to discuss access. There is no public installer, and the FridayLocalAI Store is not accepting purchases. Existing participants should use their operator’s access address and release-specific instructions. Friday can explain a checklist after access is working; it cannot guide you inside an application that has not yet been installed or made accessible.

Ask Friday to guide you

In an authorized FridayLocalAI conversation, try:

I have authorized access to FridayLocalAI. Help me work through the first-run checklist using the instructions supplied by my operator. Do not invent installation commands, download addresses, account credentials, or supported operating systems.

Tell Friday what you can see and which step you have reached. If the instructions do not match your screen, say so; ask for the relevant Help topic or contact your operator. Friday cannot be assumed to see your screen or know your current settings.

Understand the current deployment path

FridayLocalAI is being offered through early-access inquiries rather than a public self-service installer. Contact the project to discuss your intended use and environment. If access is arranged, use the instructions and address supplied for that deployment. Do not treat a consumer PDF, a source-code example, or a similarly named online project as the official installation package. This distinction is important for self-hosted AI planning. Running a local model is only part of operating the complete application. Accounts, storage, context handling, permitted capabilities, and supporting services must fit together. The correct procedure depends on the release and target environment. A generic sequence of commands cannot establish that those pieces have been installed, configured, and verified appropriately for your use.

Prepare a useful environment summary

Describe the operating system, relevant hardware, available storage, intended number of users, and the tasks you want to perform. Mention any requirement for disconnected operation or any optional connected feature you expect to use. If a specification is unknown, mark it as unknown. Do not send credentials or private configuration files as part of an initial inquiry. Include a representative workflow rather than only a broad goal such as “run AI.” For example, describe whether you need short text conversations, document review, project continuity, or a configured media workflow. That information helps the project discuss suitability and identify questions that need operator review. It does not create a promise of compatibility, a release date, or availability of every requested feature.

Establish operational ownership

Before changes are made to an environment, know who is responsible for the installation and ongoing operation. That person or team should understand the intended target, the supporting services, the access rules, and the recovery process. A local-first application still requires maintenance and a clear path for handling failures or updates. For an existing system, preserve an appropriate recovery point before an approved change. Follow the deployment-specific procedure for verification and rollback rather than improvising from a conversation. Do not mix files or settings from unrelated installations. The user-facing guides can help explain what to check after access is available, but they do not authorize changes to a database, service configuration, or another system outside the approved deployment scope.

Separate setup from everyday use

An ordinary participant should not need to perform server administration merely to start a conversation. Once the operator has established access, the first-run guide focuses on the visible user workflow: confirm the intended account and workspace, find a conversation, request a short response, and check saved history. Administrative controls can remain unavailable to roles that do not need them. If a step asks for a permission you do not have, stop and consult the operator. Do not assume that the absence of a control is an installation defect. It may reflect the intended role boundary. Explain what task you need to complete and which control is missing so the operator can decide whether a different workflow or an authorized configuration change is appropriate.

Verify more than the opening page

An application page loading successfully is only one check. A useful post-setup exercise includes a completed response and confirmation that the exchange remains in the intended conversation. If document work is required, separately verify that a supported source becomes readable and that an answer uses its contents accurately. If media work is required, separately inspect an actual completed artifact from an enabled workflow. Keep these checks small and relevant. Do not describe the entire deployment as validated because one prompt succeeded. Record the task, selected context, active model attribution, and observed result. When a check fails, identify the failing stage and preserve the evidence before changing components. This makes follow-up work more precise and avoids hiding an unresolved issue behind a different successful demonstration.

Plan for updates and support

Ask how release-specific updates will be supplied, who applies them, and what checks follow a change. Also establish where users should report problems and which information is useful in a report. A clear support path matters when sign-in or chat itself is unavailable, because the assistant cannot then be the only source of recovery guidance. Consumer documentation should stay aligned with the deployment but should not contain secret values or private operational details. Keep public how-to guidance separate from operator-specific instructions. FridayLocalAI currently has no public installer and no active purchase path through the store. The right next step is an early-access discussion that connects your intended workflow with the supported environment and responsibilities needed to operate it.