Screen Before You Serve: Simulation for Production Customer Experience AI Agents at 140M Scale

arXiv:2609.30137 · cs.AI, cs.CL · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/openclaw/openclaw

Terminology

• AI Agents — 18× in this paper · explained in 2 episodes
• Card Delivery — 10× in this paper
• Card Management — 10× in this paper
• Benchmark — 7× in this paper · explained in 2 episodes
• Quantization — 7× in this paper · explained in 12 episodes
• Alignment — 6× in this paper · explained in 1 episode
• LLM-as-a-Judge — 5× in this paper · explained in 3 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Agentic Workflows — 2× in this paper · explained in 1 episode
• Personalization — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Agentic Coding — 1× in this paper · explained in 1 episode
• Agentic Task — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self Service Rate — 1× in this paper
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Synthetic Data Generation Pipeline — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Scaling Synthetic Data Creation with 1,000,000,000 Personas
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• Goal Alignment in LLM-Based User Simulators for Conversational AI
• Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
• gpt-oss-120b & gpt-oss-20b Model Card
• LLMs Get Lost in Evolving User Intent
• ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use
• Composer 2 Technical Report
• $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
• RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection