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Atmrix

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JK

Jaclyn Konzelmann

06/03/25

@ Sequoia Capital

Users want to verify what the agent did after completing a task, preferring a summary of actions rather than watching the entire process.

Video

SC

Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner

@ Sequoia Capital

Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner

06/03/25

Related Takeaways

HC

Harrison Chase

05/07/25

@ Sequoia Capital

The 'agent inbox' prototype allows users to see when agents require actions, providing detailed descriptions and facilitating user interaction with the agent's tasks.

ES

Erik Schluntz

02/13/25

@ Anthropic

Agents for consumers are currently overhyped. Specifying preferences for tasks can be as complex as doing the task yourself, and verifying the agent's actions can be very expensive.

L

LangChain Cast

03/27/25

@ LangChain

People prefer to describe their workflows in natural language rather than using prompts, allowing for simple visualizations of their processes.

YC

Y Combinator Cast

02/28/25

@ Y Combinator

AI interfaces should keep users engaged during long processing times by providing clear progress updates or notifications when tasks are complete.

HC

Harrison Chase

05/07/25

@ Sequoia Capital

Incorporating human oversight builds trust, especially when agents perform explicit actions like sending payments or approvals.

SN

Satya Nadella

05/22/25

@ Rowan Cheung

Proactive agents should interpret user intent and perform tasks with minimal friction, allowing users to maintain control over their work.

TR

Tal Raviv

05/02/25

@ Lenny's Podcast

AI agents can automate tasks like checking calendars, researching meeting participants, and sending summaries, which can be set up in about ten simple steps with minimal risk.

YC

Y Combinator Cast

04/08/25

@ Y Combinator

The executor agent in Manus combines outputs from completed subtasks into a final synthesized output for the user, showcasing its sophisticated dynamic task decomposition algorithm.

HC

Harrison Chase

05/07/25

@ Sequoia Capital

Human interaction with agents enhances their memory by providing user interactions that inform future performance, making them more effective over time.