Slack Technologies, Inc.

Salesforce, Inc.

Openai Opco, LLC

Figma, Inc.

Andrew Schmidt

Shanan Delp

Michael Montazeri

Matthew Hodgins

Elizabeth Clemenson

Yingyu Sun

Lauren Bosak Wagner

Joan Gamell Farre

Anna Kalkanis

Gregg Horton

Noah Weiss

Joshua Wills

Luis Tandalla

Japinder Singh

Jonathan Katzur

Simon Favreau-Lessard

Joseph Delgado

Jaime DeLanghe

Marcin K Wichary

Noah Deutsch

Ryan Jonathan Kaplan

Jenny Wen

Jaime Delanghe

Madeline Simens

Thomas Dimson

Kee Yen Yeo

Karina Nguyen

Kshitij Wadhwa

Vivek Verma

Grant Jenks

Heather Tompkins

Key Shin

Emily Lin

Jessica Wang

Karl Jiang

Laura Pang

Constantin Koumouzelis

Emily Louie

Eli Fitch

Mihika Kapoor

Ashoke Chakrabarti

Yinguy Sun

The present technology pertains to a system for generating automations based on a request/prompt from a user to a language model. The language model receives a prompt in a conversation thread with a user. When the prompt includes a request for a delayed action (i.e., an automation), the request is forwarded to an automations engine, which determines the delayed action from an action component of the request and a time at which to perform the delayed action from a temporal component of the request. A scheduling instruction based on the determined time is sent to a scheduler, which signals when the time occurs, triggering the automations engine to perform the delayed action, for example, by acting as the user's delegate and sending a delayed prompt to the language model to elicit a response and amending part or all of the resulting conversation to the conversation thread with the user.

Language model automations

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of organizational telemetry within a group-based communication system and rendering representations thereof.

Method, apparatus, and computer program product for organizational telemetry discovery within a group based communication system

A network computer system operates to communicate instructions to a plurality of user devices. The instructions enable each of the plurality of computing devices to participate in a collaborative session where shared content is rendered on a collaborative medium, where the shared content includes graphic representations of the pointer devices of the individual users. The instructions may be further be executed to enable the individual users to modify the graphic representation of the pointer device to include text content specified by that user.

Cursor text representation of user in a collaborative platform

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of organizational telemetry within a group-based communication system and rendering representations thereof. An interaction signal trends interface is generated based in part on an ordered interaction signal data structures list that is generated based in part on predicted short term interaction signal tallies, actual short term interaction signal tallies, and predicted long term interaction signal tallies.

Various embodiments of the present disclosure are directed to a group-based communication apparatus that is configured to enable end-users (e.g., non-admin users) to initiate, by way of client devices, generation of a shareable resource associated with a group-based communication resource identifier to efficiently authorize communication between client devices associated with different organization identifiers in group-based communication interfaces associated with a shared group-based communication resource identifier.

Authorizations associated with externally shared communication resources

Growing community of inventors

San Francisco, CA, United States of America

Andrew Schmidt