Chat as universal but limited interface

Sherif argues chat is the universal LLM interface but verticalized specialist UIs will outperform chat for tasks.

Play episode from 55:14

chevron_right

Transcript

chevron_right

Transcript

Episode notes

Sherif Mansour, Head of AI at Atlassian, discusses bridging AI agents with massive-scale enterprise software deployment, drawing insights from Atlassian's millions of non-technical users. He shares his framework for avoiding "AI Slop" using Taste, Knowledge, and Workflow, and explains Atlassian's "Teamwork Graph" for complex enterprise queries beyond RAG. The conversation also explores the evolving relationship between AI and UI, and the shift from humans as workers to architects of AI-driven processes. This episode offers practical wisdom for both AI engineers and business leaders navigating the future of AI-enabled organizations.

Sponsors:

Framer:

Framer is the all-in-one tool to design, iterate, and publish stunning websites with powerful AI features. Start creating for free and use code COGNITIVE to get one free month of Framer Pro at https://framer.com/design

Tasklet:

Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai

Shopify:

Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive

PRODUCED BY:

https://aipodcast.ing

CHAPTERS:

(00:00) About the Episode

(03:56) Atlassian's AI Vision

(08:27) Trust, Authenticity, and Slop

(14:10) Taste, Knowledge, and Workflow (Part 1)

(17:33) Sponsors: Framer | Tasklet

(20:14) Taste, Knowledge, and Workflow (Part 2) (Part 1)

(29:51) Sponsor: Shopify

(31:47) Taste, Knowledge, and Workflow (Part 2) (Part 2)

(31:48) Technicals: RAG vs. Graphs