Agent Studio puts agent building in everyone's hands, with infrastructure built for production from day one. Build custom agents tailored to your business, deploy them safely at scale, and trust them with work that matters.
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AI agents often fail because the industry is optimized for demos, while ignoring deployment, monitoring, and trust. In many systems, building an agent that impresses takes days – maybe just hours.
But building one you’d deploy – and trust – to handle customer issues at scale? That requires infrastructure that hasn’t existed. Until now.
Because Computer Agent Studio is here.
Building agents shouldn’t require an engineering team
For too long, creating custom AI agents meant one of two things: settling for generic, pre-built solutions that don’t fit your business, or working with AI specialists and solution engineers for weeks to build something tailored to your needs.
Agent Studio solves this.
Agent Studio makes agent-building accessible to everyone in your company, whether you’re technically-skilled or not, with no-code, low-code, and full-code options fully available.
Customization that previously required specialized expertise is now self-service. Now, you can build agents that understand your business, speak in your brand’s voice, and handle your company’s specific use cases without waiting for developer resources.
But accessibility is only half the battle. The real challenge isn't building agents – it’s deploying them safely at scale.
The demo-first trap
Here’s an uncomfortable truth: so far, our industry has neglected deployment. Our competitors focus on time-to-wow. How quickly can you build an agent that does something impressive?
The obvious answer: very quickly. But try deploying it.
You’ll discover, just as quickly, that you’ve created a black box without observability or systematic ways to improve it.
This isn’t a tooling problem. It’s a paradigm problem. Most treat agents as sophisticated scripts that run once and finish.
But production agents aren’t scripts. They’re long-running systems that need to make thousands of decisions, evolve continuously, and require the same operational discipline as any infrastructure you depend on.
Real agents have real agency. They require access to a centralized brain, like Computer Memory, that helps them take sophisticated actions.
When you have that (which isn’t easy, by the way), building an agent is straightforward.
Everything that follows – deployment, monitoring, improvement, and trust – is where the next big challenge lives. It’s the work few are tackling, because it doesn’t make for good demos.
Agent Studio starts from a different premise: agents are infrastructure, not experiments.
Infrastructure for the complete lifecycle
“Skills” as composable capabilities
Other agent platforms hand you dozens of individual tools and expect your agent to orchestrate them. Need to escalate a customer issue? Your agent has to navigate the ticketing tool, notification tool, CRM tool, scheduling tool. Four separate operations, four potential points of failure, countless decisions about sequencing and error handling.
This doesn’t make sense.That’s why we’ve created “skills” within Agent Studio. Skills solve two problems at once:
- Instead of making your agent juggle multiple separate tools, skills package everything needed for a task into one capability.
- They inject instructions at runtime, not through static prompts. This means agents can handle sophisticated, context-specific logic at scale without hitting the limitations of prompt engineering alone.
Take “Escalate customer issue.” That skill handles ticketing, notifications, record updates, and scheduling, all together, with the right business logic applied based on the specific situation.
Simple. Reliable. Done.
Built for your company’s needs
Here’s why this matters: every company has unique processes, terminology, and priorities. Generic agents can’t handle that complexity. And waiting weeks for AI specialists to customize agents for you just doesn’t scale.
Agent Studio lets you build custom skills for your specific needs without requiring technical expertise. So you can configure agents to understand your industry terminology, follow your business processes, and communicate in your brand voice. Build these skills once, and deploy them across every agent in your organization.
Whether you’re in customer support, operations, or any other function, you can create agents that work the way your team works. And you can deploy these agents across both internal systems and customer-facing surfaces (like email, chat, and WhatsApp).
Build once – reuse everywhere. This is how you scale agent development without scaling complexity.
Deployment you can control, and trust
You can’t deploy production infrastructure by “hoping” it works. Agent Studio applies the same rigor to agents that engineering teams apply to any critical system.
Deployments can be rolled out gradually, testing with real traffic at a small scale. Performance degradation can be identified so that you can rollback. Sandboxed environments enable safe experimentation.
This is how you deploy agents. Because getting it wrong has consequences.
Transparency, always: observability as foundation
Production systems demand visibility.
Agent Studio gives you complete transparency into what your agents are doing. You can see every decision an agent makes, and understand exactly why it made those choices. When something goes wrong, you know immediately what happened, and why.
More importantly, you can catch problems before your customers do. The system continuously monitors agent performance, and alerts you when something starts to degrade.
Your agents stay within the boundaries you set. They follow company policies, and automatically comply with regulations, while still being smart enough to handle exceptions without breaking. You’re not constantly worried about an agent doing something it shouldn’t.
With real usage data showing you what’s working, and what isn’t, you can improve your agents’ performance over time. You can test improvements safely, then roll them out confidently. Agents don’t just launch, they evolve based on how they’re actually being used.
Action across your stack
Agent Studio connects to native integrations through Computer AirSync and also supports MCP for additional flexibility. Agents can work with external tools, create tickets, update records, trigger workflows, send emails. They respect existing permissions automatically. Data residency meets regional requirements. SOC2 and GDPR compliance is built in.
Security and governance aren’t constraints for us. They’re defaults.
Ready to roll, right now
The agent era doesn’t arrive when models get more capable. It arrives when deployment becomes routine, and trustworthy. When teams stop wasting time trying to work out if AI can handle something, and start using their time to plan effective, scalable rollouts.
That’s happening right now. Agent Studio already powers production solutions like Computer for Your Customers, which can help resolve up to 85% of customer tickets automatically across email, chat, and WhatsApp, while following your brand guidelines for voice and tone.
One financial services company is using Agent Studio to build custom agents that track escalation risk by detecting critical customer phrases, then automatically notifying the right teams. The best part: they built this without any engineering support!
The agent era is finally here: explore Computer Agent Studio and start building agents designed for production.
