Quite quickly, AI products have transitioned from models behind the scenes powering features to people talking directly to models (chat) to models deciding which tools to use and how (agents) to agents orchestrating other agents. Like the shifts that came before it, orchestration is a another opportunity for new AI products and UI solutions.
I charted the transition from AI models behind the scenes to chat to agents last year in The Evolution of AI Products. At the time, we were wrestling with how to spin up sub-agents and run them in the background. That's mostly been settled and agent orchestration (coordinating and verifying the work of multiple agents on unified tasks) is today's AI product design challenge.
As Microsoft CEO, Satya Nadella put it:
"One of the metaphors I think we're all sort of working towards is 'I do this macro delegation and micro steering [of AI agents]'. What is the UI that meets this new intelligence capability? It's just a different way than the chat interface. And I think that would be a new way for the human computer interface. Quite frankly, it's probably bigger."
He's right. When you have multiple agents working together, you need more than a conversation thread as anyone that's tried to manage a team through a single Slack or email thread can attest.
Introducing Intent
Intent by Augment (in early preview today) is a new software development app with agent orchestration at its core. You're not managing individual model calls or chat threads. You're setting up workspaces, defining your intent (what you want to get done), and letting specialized agents work in parallel while staying aligned.
To ground this in a real-world analogy, if you want to accomplish a large or complicated task you need...
- A team of the right people for the job, often specialists
- To give the team the information they need to complete the job
- The right environment where the team can coordinate and work safely
That's a space in Intent in a nutshell. Software developers create a new space for every task they want to get done. Each space makes use of specific agents and context to complete the task. Each space is isolated using git worktrees so agents can work freely and safely. Fire up as many spaces as you want without having them interfere with each other.
I've often said "context is king" when talking about what makes AI products effective. That's especially true when you need to coordinate the work of multiple parallel agents with varying capabilities. In Intent, context is managed by a living spec which provides a shared understanding that multiple agents can reference while working on different parts of a problem. This living spec is written and updated by a coordinator agent as it manages the work of implementer and verifier agents. It's a whole agent dev team.
Because agents operate from the same spec, parallel work becomes possible. Assumptions, tradeoffs, and decisions stay aligned and updated as code changes without requiring constant human intervention to keep things on the same page. For instance, one agent handles the theme system while another works on component styles. Both reference the same context, so their work fits together.
By default, a coordinator writes a spec and delegates to specialists for you. But you can also set up spaces with custom agents and manage your own context if you want. Think of it as manual vs. auto mode.
The UI for agent orchestration in Intent isn't a fancier chat interface. It's context management, agent specialization, and a unified developer workflow. It's not hard to squint and see very similar orchestration UI being useful for lots of other domains too.