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Xccelera is an AI-first transformation company delivering advanced Agentic AI Services and scalable AI Solutions designed to help enterprises & SMBs to automate work, accelerate decision-making, and modernize operations with autonomous intelligence. We build, deploy and maintain production-ready AI Agents that function as digital workers capable of executing tasks, collaborating across systems, and adapting to real-world conditions. Businesses can integrate our agents into existing workflows or adopt them directly for immediate impact. Each agent is engineered for accuracy, speed, and enterprise reliability, empowering organizations to reduce operational effort, increase productivity, and scale intelligently in a fast-changing digital environment.
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Alessandro Pieraccini
The point I find most interesting is that, beyond a certain level of complexity, the problem stops being only about context management and becomes a state management problem. If the operational state lives inside the prompt, retries and handoffs can introduce errors that are difficult to detect. For long-running workflows, I think it is more robust to separate working context, a persistent state store and an audit log, using idempotency keys and versioning to avoid duplicated side effects and context drift.