AI at Work
Introducing CAFE(S): A framework for defining AI context quality
Five durable properties for evaluating the context we hand to AI agents.
Don’t outsource the spark: how to balance human thinking and AI
AI jump-starts speed, but human friction sparks the ownership, peer collaboration, and genuine originality teams need to thrive.
How Content Technology is powering Atlassian’s AI quality
Large language models can write fluent answers, but accuracy requires structure. Here’s how we’re building content infrastructure to keep AI grounded.
Giving AI agents design system context from the terminal: what we learned building a CLI
Why ship a CLI when you already have an MCP server? Here’s how giving AI agents design system context from the terminal cut token costs, sped up tasks by 8%, and reached more coding tools.
AI made you faster. It didn’t make you better.
One point four million real workplace conversations with AI were analysed last year. About 5% of people were using it in ways that improved the quality of their work. The “Are you using AI?” conversation is over. Nobody won it. We just stopped having it. But the question we skipped is, “Is anyone reading this […]
Want more confidence in AI? Give it more context.
New Atlassian research finds the bigger predictor of whether AI helps at work isn’t how much people use it — it’s how much of their work it understands.
How one leader rebuilt his feedback loop with an AI agent
Most leaders think they’re good communicators. Fernando Garcia Valenzuela decided to find out.
AI polish makes it harder to spot problems. But there’s a quick fix.
Reviewers were 22% less likely to catch flaws in AI-polished drafts. Atlassian’s Teamwork Lab found a fix that takes five seconds.
When is AI useful, or just a habit? A Play/Pause break helps teams decide.
Knowing when to reach for AI tools at work – and when not to – is an important skill. Teamwork Lab shows you how to refine it.
Building your AI work factory
Most of us do more repetitive work than we realise. Not repetitive in the mechanical sense – not copy-and-paste – but repetitive in structure. This is exactly the kind of problem a work factory is built to solve.
How KFC Uses AI Agents to Ship Software Faster
KFC’s engineering teams were drowning in release admin — chasing people for risk assessments, impact details, and component info. Not anymore. Now their custom Change Agent (built with Atlassian Rovo) pulls up everything teams need against a release — risk, impact, associated components — instantly. The result? Massively reduced admin time, engineers doing what they […]
You don’t need a team of AI experts. You just need one.
New research from Atlassian’s Teamwork Lab found that adding a single AI superuser made teams more likely to achieve a top score during ShipIt.
Introducing Jira as the System of Record for OpenAI Symphony
Scaling AI coding agents requires moving past interactive, single-session CLI workflows. Even for a single developer, running multiple agent loops in parallel gets messy fast. Terminal states get lost, context switching adds noise, and follow-up tasks get dropped. Across a team, that operational friction compounds. OpenAI Symphony handles agent orchestration for Codex. Jira provides the […]
The tech we love to hate is the tech we’d hate to lose
New research from Atlassian’s Teamwork Lab finds that even as knowledge workers are uneasy about AI’s broader impact, they increasingly embrace it at work.
Why Rovo is a leading enterprise AI search tool
Rovo Search is now approximately 60% faster! Here are five ways it got more powerful.