Working memory for every conversation

The five parts of working memory

Working memory starts with conversation memory, turns each call into meeting memory, and makes the result available through Ask Nod. Optional ambient context adds the text around the conversation. Team context can make selected material available to your team.

• Capture the conversation without adding a meeting bot
• Extract decisions, commitments, action items, and open questions
• Ask across several sessions and open the source behind an answer
• Keep personal material private unless you deliberately share it

A reproducible workflow

Capture a customer call, a product review, and a voice note in Nod. Put the related sessions in one folder. Before the next call, ask: What did we decide, what did I promise, and what is still unresolved? Open the cited sessions, check anything consequential against the transcript, then ask Nod to create the confirmed work as a task in Jira or Linear, or a page in Notion.

What working memory is not

It is not perfect recall, an employee, or an automatic system of record. Nod can miss context and generated answers can be wrong. It does not act in your tools on its own. Anything it creates, it creates because you asked. Its role today is to capture, organize, retrieve, and show the conversational evidence so a person can decide what happens next.

Explore the pillars

Start with conversation memory for continuity across calls, meeting memory for the durable record of one meeting, AI coworker for the human-in-control boundary, and AI context layer for using meeting context inside other assistants. For the difference from a recap, read meeting summaries vs working memory.

Frequently asked questions