How to Use Otter Live Assist to Stay Sharp in Meetings You Had No Time to Prepare For

You have thirty seconds before a call starts and zero context in your head. If you are a manager or ops lead who takes external calls with vendors, clients, or partners, this situation is not rare. It is Tuesday. This article shows you exactly how to use Otter's Live Assist feature to catch discrepancies, generate better questions, and log commitments in real time, without any prep the night before.

Why This Matters

The cost of an underprepared external call is not just the awkward pause when someone references a number you should know. It is the follow-up email you spend thirty minutes writing from memory, the commitment that slips because nobody flagged it live, and the better question you only thought of on the way back from the kitchen. Good transcription after the fact does not fix any of that. By the time the summary lands in your inbox, the call is done and the moment is gone. The gap between what is being said and what you can usefully contribute closes fast, and standard meeting tools are not built to help you close it in real time.

The System

This workflow takes about three minutes to set up before a call. Here is how it runs.

Open Otter and start a session as you normally would, with the transcript running. Live Assist sits in a side panel and reads the transcript as it builds. Before the call, paste a short context note into Otter, around two hundred words is plenty. Cover the other party's background, anything relevant from previous conversations, and one or two specific things you want clarity on. Then give Live Assist a single focused instruction before the call starts.

PROMPT: "I am going into a vendor review call. Based on what comes up in the conversation, surface relevant questions I should be asking, flag any claims that need following up, and note any commitments the vendor makes."

That is the whole prompt. Keep it to one job, not five. During the call, Live Assist watches the transcript and responds as the conversation develops. In a real vendor call run this way, it flagged a pricing discrepancy against the context note, generated a follow-up question about implementation resource requirements that had not come up organically, and logged a delivery commitment without any manual marking.

Two honest caveats. The real-time latency runs at roughly ten to fifteen seconds, which means fast-moving conversations can outpace it. And if two speakers talk over each other, transcript quality drops and Live Assist loses the thread briefly. On a measured external call, neither issue is a dealbreaker. On a rapid internal sprint call, you may find it less useful.

This is the kind of practical AI workflow covered every week in the AI at Work newsletter on LinkedIn. Subscribe to get one tested system per week, directly in your feed.

What to Expect

The shift is not just in the notes. It is in the call itself. You ask a sharper question than you would have asked cold. You catch a discrepancy live instead of discovering it three days later. Your follow-up email takes ten minutes instead of thirty because the commitments are already logged and you are not reconstructing events from memory. Run this consistently across your external calls and you will find the preparation gap stops mattering as much, because the system compensates for it in real time.

Start Here

Before your next external call, open Otter and write two or three sentences about what the call is for and who it is with. Give Live Assist one instruction about what you want it to flag. One job. Keep the prompt narrow and let it run. You do not need to do anything else during the call. Just notice what it surfaces.

The tool I use for this: Otter.ai - [AFFILIATE LINK: paste here]

LINKS: AI at Work -> https://navi-at-work.blogspot.com AI at Work newsletter -> https://navi-at-work.blogspot.com

Comments

Contact Form

Name

Email *

Message *