We’ve added action buttons to table rows in our agent interface. Click “View” on a pull request, “Rollback” on a deployment, or “Fix” on a flaky test instead of describing what you want to do.
The Problem with Chat-First AI
Most LLM interfaces feel like endless conversations. You see a table of pull requests and type “can you review the first one?” The agent responds, you clarify which PR, it asks for confirmation, you say yes.
Four messages to do something that should take one click.
Context + Actions = Better UX
When the agent shows you infrastructure data—deployments, pull requests, AWS resources—it now includes relevant actions for each item:
- Pull requests: View, Close, Add comment
- Deployments: View, Rollback, Monitor
- AWS resources: View, Analyze, Add to terraform
- Flaky tests: Skip, Retry, Fix
Click the action and the agent immediately knows what you want and has the full context of which specific item you’re referring to.
Less Chat, More Flow
When you click an action, instead of showing a regular chat message, the interface displays a compact action indicator—no verbose “I’ll now review pull request #1234 for you” messages clogging the conversation.
The agent gets straight to work with perfect context about which resource and what action you want.
All Your Tools in One Place
The real power isn’t just clicking instead of typing—it’s having everything in one interface. No more jumping between GitHub for pull requests, AWS console for infrastructure, Sentry for errors, Datadog for metrics, and your CI dashboard for deployments.
The agent pulls context from across your entire stack and presents it with the actions you need. See a failing deployment? Click “View logs” without opening three different tools. Spot a flaky test? Click “Fix” without switching to GitHub, then CI, then back to your monitoring dashboard.
Building UI for LLM Context
This is a first step toward interfaces that feel less like chat and more like the unified control panel you actually need. Instead of managing context through conversation or context-switching between tools, the UI manages it all for you.
The table knows what type of resources it’s showing. Each action button knows exactly which item it’s attached to. The agent gets precise instructions without ambiguity.
No more “the second item in the list” or “that pull request from yesterday.” No more “let me check Sentry, then Datadog, then AWS.” Just click what you want to do with what.
Try UI actions today at app.cased.com.