Screen assistant vs meeting assistant: which context do you need?

A meeting assistant helps you return to a conversation. A screen assistant helps you return to work that happened on your computer, including the work between calls. Choose based on the information you need to recover.

Suppose a teammate explains a reporting change during a call. Afterward, you open a spreadsheet, check a dashboard, and fix the report. A transcript can help recover the explanation. Recovering the formula you changed also requires a record of the spreadsheet work.

Compare the evidence each tool keeps

Features vary by product and configuration. Use this table as an evaluation checklist when comparing tools.

Question	Meeting assistant	Screen assistant
What do you want to recover?	A spoken decision, explanation, or follow-up	A page, application state, or sequence of work
Which sources matter?	Meeting audio, transcript, and any shared materials the tool captures	Screen text or images, application context, and optional audio
What should a useful result include?	The transcript passage and its place in the conversation	The captured moment, its time, and the relevant application
Where can capture fall short?	Missed audio, transcription errors, or an unrecorded call	Paused capture, excluded apps, unreadable text, or content never displayed
What needs a privacy review?	Participants, audio processing, retention, and sharing	Captured apps and windows, audio, storage, AI processing, and sharing

A product can serve both jobs. Screenpipe captures screen and audio context from your computer, subject to your recording settings and permissions. Its AI screen recorder overview explains the capture approach; the meeting assistant page covers the meeting use case.

Try the question you will actually ask

Evaluate a tool with material you have permission to record. Pick a question with an answer you can check yourself.

For a meeting assistant, try: "What did we agree to change in the report?" Check the answer against the conversation. Pay attention to whether the assistant distinguishes a suggestion from a decision and identifies an owner only when someone accepted the work.

For a screen assistant, try: "Which spreadsheet did I use after the reporting call?" Then ask for the relevant time range or captured moment. Open the source and verify that it shows the file you meant. A plausible file name without supporting evidence is a reason to keep looking.

The screen search guide describes how captured text and time filters help narrow a search. Search coverage depends on what the recorder actually captured. An assistant cannot reliably reconstruct a page you never opened.

Keep capture and AI processing separate

A local recording does not establish where an AI answer is processed. Check the transcription provider, the model receiving the retrieved context, and any sync or sharing features you enable.

For a meeting tool, ask whether a participant joins the call or audio is captured from your device. Either way, follow the recording requirements that apply to the conversation. For a screen tool, review application and window filters before recording sensitive work. See the AI memory privacy checklist for a practical settings review.

Turn recovered context into something useful

A transcript may give you enough evidence to write a follow-up. A captured sequence can help you explain how a task was completed. When several applications are involved, keeping the sequence lets a reviewer see how one step led to the next.

Screenpipe's starred sessions let you mark a stretch of work and return to it. You can use that session as context for a draft checklist, then verify the checklist against the recording. The workflow documentation guide walks through that review.

If your main problem is losing spoken decisions, start by testing meeting retrieval. If you also lose the work surrounding those conversations, test screen retrieval with the same care. Download Screenpipe to try the workflow on a short, non-sensitive session.