Teams | Collaboration | Customer Service | Project Management

Shared Decks in Distributed Teams: Using AI Redesign Without Breaking the Content

Shared presentations have a familiar failure mode in distributed teams. A deck starts with one person, moves through several time zones, and eventually reaches the client meeting with four different fonts, mismatched slide sizes, and a chart nobody can edit because it was pasted in as an image. AI redesign tools can now clean up the visual side of a presentation in minutes. But they can also quietly alter, remove, or distort important content.

How we ditched the content spreadsheets and scaled 60% with AI Teammates

Tracking 15 pieces of content across 5 channels in a spreadsheet while chasing approvals in Slack is no way to do strategy. See how Asana's Content Strategist AI Teammate took over the pipeline—so the focus could go back to the work that actually matters. Chapters.

A Safer Way to Share, A Smarter Way to Sync: What's New in CurrentWare Cloud

Our latest cloud release offers three new capabilities that are focused on one goal: to protect the data you can’t afford to lose and sync data that you can trust. A quick summary of what’s new: You can now stop sensitive data from being leaked the moment it is copied, control which files can be uploaded to applications, websites, or emails, and sync employee records straight from your HR system.

19 million tool calls and counting: who's using Miro's MCP server

AI agents have made more than 19 million tool calls to Miro’s MCP server since February 2026, and the users behind them span product, design, marketing, operations, and project management. When we launched Miro’s MCP server in February, we had AI coding tools in mind.

Inside One Founder's AI Product Copilot, Built on Miro MCP

Leandro Barreto didn't set out to build a company. He set out to help his son. As a solo founder, Leandro built Epilog, an epilepsy tracking app, almost entirely with Miro as his AI product copilot. He started with sticky notes and a rough idea on a Miro board, then connected Miro MCP directly to his IDE so his AI coding assistant could pull the data model straight off the board. From there, the same AI reviewed the architecture like a solution architect, caught duplicated data and missing entities, and turned the fixes into a 22-item project roadmap.

Atlassian MCP brings more of your work within reach of any AI agent

When we delivered Atlassian MCP a little under a year ago, the idea was simple: let the AI tools your teams already use – Claude, ChatGPT, Cursor – reach the work that lives in Atlassian. The response was immediate. Now, we’re seeing more than 15M calls a day as it’s become the first thing teams reach for when they want to connect AI to their work. But teams have made it clear they want more. More products, more context, and more of the whole job done.

The Atlassian platform is for multiplayer human-agent work

Over the last two decades, millions of teams have run their work on Atlassian, writing code, shipping products, and supporting customers across billions of workflows. Our platform is also where they make the hard calls, prioritizing which features to build, deciding which customer problems to chase, and choosing where to invest their resources.

How to Audit Your Tech Stack: A 5-Step Guide

Most firms know they’re paying for tools they don’t fully use. What they don’t know is how to fix it. That’s why we created the Tech Stack Audit Workbook. It includes: It also generates a leadership summary that suggests next steps based on the info you enter. Best of all, the audit only takes about 90 minutes to finish. Let’s walk through it.