The workshop ended with several good ideas. Now someone needs to explain what the team actually decided.

OGAD (Off Grid AI Desktop) can transcribe a saved workshop recording and help you turn the checked text into a decision brief. Use local speech and text models to keep processing on your computer after setup. The useful result is a short record of decisions, conditions, and open questions that you can verify against the discussion.

Download OGAD

Desktop releases

What would you like to do with Off Grid AI?

Have a feature or use case you would like us to support? Tell us what you want to do and which device you use.

Write to support@offgridmobileai.co, join our Slack community, or talk to us on Reddit.

This is useful when a small team brings together a client, designer, and developer for a planning session. Each person may remember a different part. A checked brief gives them a common document to review before work starts.

What belongs in a decision brief?

A decision brief records what was selected, why, under which conditions, and what still needs confirmation. Keep proposals separate from accepted decisions. A detailed discussion of an option does not mean the team chose it.

Suppose a workshop covers a new customer onboarding flow. The group discusses a short form, a longer form, and a call before signup. It agrees to test the short form but leaves the required fields unresolved.

The brief should preserve that distinction:

Item	What the source must establish
Decision	What the group agreed to do
Reason	The stated reason for that choice
Condition	A limit or dependency attached to the decision
Open question	What was deferred or not settled
Next action	A stated action and owner, when present

A brief that says “Build the short form” may lose the fact that this was a test. That one missing word can change how the team interprets the scope.

What do you need to process the recording?

Use a saved audio file, a local transcription model, and a local text model. The model-setting steps below use an Apple Silicon Mac. Saved-audio processing also exists in the Windows core app, where speech runtime setup can differ.

Download the app, models, and required runtimes before working offline. Release 0.0.54-beta.108 also adds Linux beta packages. This guide uses the free saved-file route, not Pro live meeting recording.

Choose audio such as MP3, WAV, M4A, or FLAC. If your workshop is a video, export its audio first. The normal video attachment path reads sampled visual frames; it does not transcribe the full soundtrack. The file-processing implementation keeps those routes separate.

Keep any whiteboard photographs or shared notes available. A transcript contains spoken words. It may not capture a decision recorded silently on a board.

How do you get a transcript you can use?

Transcribe the audio and check the passages that contain decisions. Pay attention to agreement, rejection, and conditions. Words such as “unless,” “after,” and “for the test” can be more important than the overall summary.

1. In Models, download local speech and text models that fit your computer.
2. Open Transcription in model settings. Choose Current model and Spoken language.
3. Open chat and use + > Attach files to select the audio.
4. Wait for processing, then open the attachment’s text preview.
5. Check important passages against the recording. Copy the text into a local editor for corrections and save a checked transcript.

For a multilingual workshop, choose a speech model that supports the spoken language. Do not use an English-only model and expect it to handle every participant’s language.

This attachment workflow provides text. Do not assume it gives reliable speaker names or precise time-coded citations. Use existing speaker labels only after checking them against the recording.

How do you ask for the brief?

Attach the checked transcript and specify the distinction you care about. Ask for evidence beside each proposed decision so you can review the short document without losing its source.

Create a decision brief from this workshop transcript. Separate accepted decisions, proposals still under discussion, conditions, open questions, and explicit next actions. For each accepted decision, include a short supporting quote. Use “Not established” for missing owners or dates. Do not interpret silence as agreement.

For a long workshop, process one agenda section at a time. A local model has limited context, which must fit the source, instructions, history, and answer. A transcript visible in the preview may still be too large for one useful request.

Save checked section briefs, then combine them:

Combine these reviewed section briefs. Keep their section labels and conditions. Remove duplicate wording, but preserve disagreements. Do not add new decisions.

How do you check that the brief reflects the room?

Read each decision against its supporting passage and the surrounding discussion. Check whether the statement was accepted, challenged, or changed later. A short quote can be accurate yet incomplete.

For the onboarding example, search the transcript for later mentions of the form. The group might have added a condition after its first agreement. Review the final wording before telling the team what to build.

Use this review sequence:

• Check the selected option.
• Check whether it is a trial or a permanent change.
• Check dependencies and exceptions.
• Check whether a named person accepted the action.
• Check any due date against the actual recording.

When something remains unclear, put it in a confirmation section. A visible gap is useful because it gives the facilitator a focused question to send back to participants.

How can you find the decision again later?

Save the approved brief with a date and keep it alongside the checked transcript. In Projects, create a project for the work, then open Knowledge & settings > Knowledge base > Add files. Add the documents and wait for indexing.

Open Chats > New chat inside that project. Ask a narrow question such as:

What conditions applied to testing the short onboarding form? Show the source file and keep the approved brief separate from the original discussion.

Project search returns selected passages, not a complete audit of every workshop. Open the source when the answer affects scope or delivery. Keep older drafts labelled so they are not confused with the approved record.

What if the output is too vague?

Symptom	Better request or check
“The team discussed onboarding”	Ask which option was selected and the evidence for agreement
Every idea becomes a decision	Ask for proposals and accepted decisions in separate sections
A due date appears without support	Check the source and mark it unconfirmed
A whiteboard decision is absent	Add a reviewed written note from the board
The ending is missing	Split the source and process the final section separately

Finish with a brief people can confirm

Download OGAD and try one short workshop section. Produce a decision, its condition, and the question still open. Review those against the source before sharing the brief.

Keep both speech and text models local for the processing described here. Sharing the final document or selecting a remote model is a separate action with its own data path.