Support the Project

Share useful feedback

Describe the task you attempted, the result you expected, and what happened. Clear reproduction steps help distinguish a usability issue from a service or configuration problem.

Learn and share

Explore the learning library and share relevant resources. Some book links are affiliate links; disclosures explain those relationships.

Discuss participation

Contact the project about access, collaboration, or support. No donation, purchase, or financial commitment is required to read the site.

Need product help?

The Help Center and documentation are the starting points for setup, conversation, attachment, and troubleshooting questions.

Give feedback that can be acted on

For a usability issue, describe the screen, the control, and the result you expected. For an incorrect answer, provide a small non-sensitive example and explain the correction. Ask Friday to organize the report, then review it before contacting the project.

Ask Friday to guide you

In an authorized FridayLocalAI conversation, try:

Help me draft a FridayLocalAI support report. Ask for the time, feature, expected result, actual result, selected Agent and model, and a minimal example. Do not include private files or credentials, and do not send the report.

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.

Choose the kind of contribution you want to make

Supporting FridayLocalAI can mean reporting an issue, improving documentation, sharing a useful learning resource, or discussing a potential collaboration. Start with the contribution you can describe clearly. A small, specific observation often helps more than a broad statement that the product should do more. Explain the task or user need behind the suggestion. No purchase or financial commitment is required to read the website or offer ordinary feedback. The FridayLocalAI Store is not accepting purchases, and early access is arranged through contact with the project. Third-party affiliate book listings are separate from application access. If your interest involves a formal partnership or a different arrangement, use the contact route to discuss it rather than assuming the website establishes the terms.

Report a problem with enough context

A useful issue report states the feature, the steps taken, the expected result, and the observed result. Include the time and relevant Agent or model attribution when it helps explain the request. If the symptom depends on an attachment, describe the type and the behavior without sending the private contents by default. Use a minimal example when possible. A harmless sample can help distinguish a general failure from an issue specific to one source. State what still works and what you have already tried. Avoid presenting a guessed cause as established fact. The operator can investigate more efficiently when the report preserves the difference between your observation, a possible explanation, and a verified result.

Improve an explanation

Documentation feedback is especially useful when it identifies the exact point of confusion. Name the page or control, quote a short relevant phrase if necessary, and describe what you expected it to mean. If the application differs from the guide, provide the visible label and the task you were attempting. That can reveal a version difference, a role restriction, or wording that needs correction. Suggesting an example can be more helpful than requesting that an entire page be “clearer.” Explain the situation in which a new user needs guidance and what success should look like. Keep the example non-sensitive and aligned with the application’s actual capabilities. An explanation should make the workflow easier to understand without promising access or behavior that has not been configured and verified.

Share learning resources thoughtfully

The learning library connects AI concepts, application engineering, and decision-making with practical use of FridayLocalAI. If you suggest a resource, explain its subject, intended audience, prerequisites, and the question it helps answer. A title alone does not show whether it fits a beginner, an operator, or a developer studying model implementation. Avoid presenting a resource as an endorsement by its author or as proof that the application implements every idea it contains. Learning material can inform a discussion without defining product behavior. Where a resource has a retailer link, the listing’s format, edition, and availability still need to be checked. The site uses its Amazon Associates module for linked product cards and discloses that relationship.

Use Friday to prepare, not to send by assumption

If the application is available, ask Friday to help organize feedback into a concise draft. Give it the observations you are willing to share and ask it to identify missing information. It should not invent request identifiers, system specifications, or reproduction steps. Review the wording so that uncertainty remains visible where the cause is not known. The draft is not a sent report. Use the intended contact channel yourself unless a separate permitted sending workflow has been explicitly arranged. Keep credentials, private keys, session details, and unrelated source material out of the message. If sensitive evidence is necessary, ask how to provide it appropriately rather than attaching a complete workspace or raw operational archive to an initial inquiry.

Make suggestions actionable

For a feature idea, describe the current workflow, the difficulty it creates, and the result you would like. Explain how you would recognize an improvement. A request such as “help me return to the correct conversation after searching” provides a more useful starting point than a general call for more automation. Separate the desired outcome from a proposed implementation. The project may find a different way to address the need while preserving permissions and operational boundaries. If the idea is essential to your use, mention that in an early-access discussion. Useful support is a continuing exchange of goals, evidence, and understandable next steps; it does not require overstating what already works or treating every suggestion as an approved commitment on the product roadmap.