Aurora Mobile's GPTBots.ai Launches LoopAgent: Production-Grade Execution That Runs Complex Tasks End-to-End
HONG KONG, Aug. 03, 2026 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) ("Aurora Mobile" or the "Company"), a leading provider of customer engagement and marketing technology services, today announced that GPTBots.ai, its AI agent platform, has released LoopAgent — a production-grade execution engine that enables AI agents to autonomously handle complex, multi-step tasks across business systems.
Built for Production, Not Pilot
Production deployments often stall not because of model quality alone, but because accountable, end-to-end execution is difficult to operate at scale. While most agent platforms rely on open-source orchestration frameworks, LoopAgent is a purpose-built execution layer engineered and maintained in-house by the GPTBots team. This means enterprises are not dependent on third-party library upgrade cycles, and have direct control over the execution pipeline — from security sandboxing and cost guardrails to step-level audit trails. It's the difference between assembling a demo with community tools and running mission-critical workflows on a production-grade engine.
What LoopAgent Brings to the Table
Beyond continuous execution, LoopAgent ships with capabilities designed for real-world deployment:
- Sandboxed code execution: Agents can run code in an isolated Bash sandbox, enabling automation tasks that require scripting without compromising system security.
- Lazy-loaded Skills: Agent capabilities are loaded on demand rather than all at once, reducing token consumption and keeping costs in check for high-volume workloads.
- Versioned system identity prompts with Diff: Teams can version-control the prompts that define agent behavior, compare changes across versions, and trace exactly which prompt version governed each decision — essential for compliance and debugging.
- Seamless human handoff with context summary: When a task requires human intervention, LoopAgent generates a private summary of the conversation and task state, so the human agent picks up with full context — no repetition, no friction.
- Integrated knowledge retrieval: Agents draw on enterprise knowledge bases in real time, grounding responses in company-specific information rather than general-purpose training data.
From Partial Automation to End-to-End Task Completion
LoopAgent is designed for tasks that span multiple systems and require sustained execution:
- Insurance claims & case management: An agent receives a claim, verifies the policy, checks coverage rules, calculates the payout, and generates a conclusion — then routes to a human for final approval, with the full decision trail intact.
- Internal operations automation: Daily reporting workflows that pull data from business systems, run validation rules, execute aggregation scripts, and write results back — all within a single agent run, no manual handoff between steps.
- Complex customer support: A customer inquiry that involves order lookup, refund policy verification, and payment system calls is resolved end-to-end within the same context, rather than bounced between systems and agents.
- Hybrid AI-human service: The agent runs until the task requires human judgment, then hands off to LiveDesk or LiveChat with a complete context summary — the customer never repeats themselves, and the agent picks up instantly.
"Most agent platforms can handle a conversation. LoopAgent was built to handle a job — start to finish, across systems, with every step traceable," said Chris Lo, Founder and CEO of GPTBots.ai. "The gap between a compelling demo and production-grade AI has always been about execution reliability, not model quality. LoopAgent closes that gap."
The release of LoopAgent reflects a broader shift in how organizations deploy AI: from conversational assistants that answer questions, to autonomous agents that complete work. As AI moves deeper into operational workflows, the execution layer — not just the model — becomes the critical differentiator. GPTBots.ai is positioning LoopAgent as the foundation for this next phase, where agents don't just talk, but deliver.
LoopAgent is available now on GPTBots.ai. For more information, visit https://www.gptbots.ai.
About GPTBots.ai
GPTBots.ai is an enterprise-grade AI agent platform under Aurora Mobile (NASDAQ: JG), offering no-code/low-code AI agent development, deployment, and management for enterprise clients. Through multi-model LLM integration and intelligent workflow automation, GPTBots.ai empowers organizations to enhance customer service, optimize knowledge management, and automate business processes, driving digital innovation and transformation worldwide.
GPTBots.ai's global customers include Axios Management, GP Batteries, Echosens China, and many more.
For more information, please contact: marketing@gptbots.ai
About Aurora Mobile Limited
Founded in 2011, Aurora Mobile (NASDAQ: JG) is a leading provider of customer engagement and marketing technology services. The Company is dedicated to empowering global enterprises with stable, efficient, and intelligent customer interaction solutions. Leveraging its first-mover advantage in mobile messaging, Aurora Mobile has evolved into a comprehensive platform that integrates Omnichannel Engagement, AI-Driven Marketing, Advanced AI Customer Support, and Frictionless Identity Security. Through its flagship brand EngageLab and its robust AI infrastructure GPTBots.ai, the Company helps businesses achieve seamless customer reach, automate complex marketing journeys, and optimize service efficiency with AI agents, accelerating digital transformation for clients worldwide.
For more information, please visit: https://ir.aurora-mobile.com/
Media contact: marketing@aurora-mobile.com
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For more information, please contact:
Aurora Mobile Limited
E-mail: ir@aurora-mobile.com
Christensen Advisory
Ms. Xiaoyan Su
E-mail: Xiaoyan.Su@christensencomms.com
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