A workshop can contain the answer to a question you will face months later. Finding that explanation in a long recording is the difficult part.
OGAD (Off Grid AI Desktop) can help you transcribe saved workshop audio, prepare checked topic notes, and search them through a project on your computer. Use local models for speech, text, and indexing after the initial setup. The result is a reference collection you can question without uploading the recordings to a cloud AI provider.
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For a training firm or small consultancy, this makes workshop material useful after the session ends. A facilitator can return to a definition, find an example, or prepare a response to a learner's question from the checked source.
What makes a workshop useful as reference material?
A reference collection needs clear topics, recognisable source names, and a way to distinguish the trainer's explanation from later notes. A transcript alone gives you words; a small amount of reviewed organisation helps you find the right passage later.
Suppose a workshop teaches facilitators how to prepare and run client planning sessions. It covers preparation, participation, handling disagreement, and recording decisions. A later question about quiet participants should lead to that section rather than a general summary of the whole workshop.
| Material | Purpose in the collection |
|---|---|
| Checked transcript | The spoken source |
| Topic notes | Short, reviewed explanations with source labels |
| Slide or handout text | Information the speaker may not have said aloud |
| Question list | The practical questions the workshop answers |
| Update note | Corrections or changes after the original session |
Keep a transcript's source role clear. A later correction may be more useful for current practice, but it should not silently change what the trainer originally said.
What do you need in OGAD?
Use the free core app with local transcription and text models. Complete app, model, and local indexing setup while connected. The workflow uses saved files and does not require Pro live meeting recording.
The speech-setting steps below use an Apple Silicon Mac. The core saved-file and project workflow is also available on Windows, with platform-specific speech runtime setup. 0.0.54-beta.108 provides Linux packages as a beta.
Start with a short workshop or one clear section. Keep the original audio and any handouts. If you have a video, export audio for transcription and keep the video available to check visual demonstrations.
How do you turn the recording into checked text?
Choose a local speech model, process the audio, and review the important explanations. Correct material errors before building the reference collection so those errors do not reappear in later answers.
- In Models, download a transcription model for the spoken language.
- In model settings, open Transcription, set Current model, and choose Spoken language.
- Use + > Attach files in chat to select the saved audio.
- Wait for processing and open the text preview.
- Copy the transcript into a local editor, make checked corrections, and save it with a date and workshop title.
The file-processing implementation transcribes audio but handles video through sampled frames. A video attachment alone is not the full spoken transcript.
Keep uncertain terms or missing visual context marked for review. Do not ask a model to fill gaps from what it thinks a typical workshop would teach.
How do you make topics easier to find?
Ask a local text model for topic boundaries and practical questions, then review its suggestions against the transcript. Use the trainer's actual content rather than adding a generic course outline.
Create a topic map for this checked workshop transcript. For each topic, give a short heading, the practical question it answers, and a supporting passage. Keep related topics separate when they describe different actions. Do not invent timestamps or add material absent from the transcript.
For the facilitator workshop, the topic map might separate “invite quieter participants to contribute” from “resolve a disagreement.” Both concern participation, but they answer different questions.
Save checked topic notes as text or Markdown files. Include the workshop name, date, and transcript section label in each note. If your source has reliable timestamps, preserve them; this attachment workflow does not create a verified time-coded navigation system for you.
How do you build the searchable collection?
Create a project for the workshop series and add the checked sources. Let indexing finish before asking a question. Use clear names that distinguish the original transcript, reviewed topic notes, and later corrections.
- Open Projects > New project, enter the workshop name, and press Enter.
- Open Knowledge & settings > Knowledge base > Add files.
- Add the prepared documents and wait for indexing.
- Leave the intended sources enabled for retrieval.
- Open Chats > New chat inside the project.
The project controls let you manage those sources. Use TXT, Markdown, DOCX, or text PDFs; scanned handouts need checked readable text first.
Ask a specific question:
What did this workshop recommend when one participant dominates the discussion? Name the source and distinguish the trainer's advice from later notes. If the material gives no clear answer, say so.
How do you know an answer is useful?
Open the cited source and check that the passage answers the actual question. A related topic is not always the right instruction. Look for conditions, examples, and exceptions around the retrieved text.
For the participation question, a passage about encouraging quiet attendees might be relevant but incomplete. Ask whether the source also discusses interrupting a dominant speaker respectfully, and check the answer against the transcript.
Project search retrieves a limited set of relevant passages. It does not guarantee that every workshop was examined or that all examples appear in the answer. For an important training decision, inspect the relevant source sections directly.
Keep a few questions with known answers as a simple quality check for the collection. If those answers are hard to retrieve, improve the source labels and topic notes before adding many more recordings.
How should you maintain the reference material?
Add a dated correction when the training changes. Make its status explicit and disable outdated versions for retrieval when they should no longer guide current answers. Remember that prior project chats can contain older discussion too.
| Issue | Action |
|---|---|
| A vague answer appears | Ask a narrower practical question |
| A transcript error repeats | Correct the source and update the collection |
| A visual step is missing | Add checked notes from the video or handout |
| Old advice is returned | Check source dates and enabled versions |
| A long source is poorly covered | Create reviewed topic sections |
This creates a useful local reference for the person operating the app. It does not automatically publish a course portal or give colleagues access to your project. Share approved material through the channels you choose.
Recover one explanation from your last workshop
Download OGAD, prepare one checked topic, and add it to a project. Ask a question a learner might bring next week, then verify the answer against the source.
That is the first useful result: an explanation you can find again, with enough context to use it correctly. Keep the models local for the processing described here; remote choices and later sharing are separate network actions.

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