Building with Agent Studio? Running into edge cases? Our developer advocates host live Office Hours where we walk through plugin architecture, uncover working solutions to your toughest challenges, and unpack new features as they drop.
Building with Agent Studio? Running into edge cases? Our developer advocates host live Office Hours where we walk through plugin architecture, uncover working solutions to your toughest challenges, and unpack new features as they drop.
AGENT ARCHITECT
Describe what you want. Watch it build. Agent Architect turns natural language into production-ready plugins — scanning your systems, resolving dependencies, and assembling complete integrations while you review the architecture, not the code.
AI AGENT MARKETPLACE
Through our AI Agent Marketplace you can:
Issue #6 | Mar 2026
Your plugin didn't break in production. It was always going to degrade after a few turns. You just never had a conversation long enough to notice.
Issue #5 | Mar 2026
Your plugin went from 2 seconds to 8 to respond to your user. You didn't change anything. You just added a second action to the conversation process, then a third, then a fourth. Now the user stares at a spinner and you're filing a bug about "slow plugin response times."
Issue #4 | Feb 2026
Hey, I used to write slot descriptions like mini-prompts. "Extract the Jira ticket ID from the user's message. If they say 'my ticket,' look up their most recent open ticket."
Issue #3 | Feb 2026
Your plugin keeps asking users for things it should already know. "What's your employee ID?" — it's in their profile. "Which ticket?" — they just mentioned it.
Traditional iPaaS and middleware weren't built for AI agents. The Agentic Automation Engine runs Agent Studio plugins — handling infrastructure so you can build agents that automate business processes.
LLMs hallucinate which action to take. They ignore context or choose the wrong tool, causing agents to misfire and fail business tasks.
Natural language is ambiguous, inconsistent, and often doesn’t match the IDs or objects your systems expect. You end up writing glue code to guess what users meant — and it never scales.
Multi-step actions fail silently. You can’t see progress, interpret errors, or debug what happened between plugins or across systems. Agents break in the wild and you have no trace.
Prompt-based instructions get misunderstood, bypassed, or jailbroken. Critical policies — security, compliance, approval logic — become fragile or invisible.
Get an in-depth look at Agent Studio, Moveworks AI agent builder that simplifies enterprise-wide AI agent deployment. With Agent Studio, you can extend Moveworks AI Assistant with installable or custom built AI agents for every enterprise application