Tendem: A Hybrid AI+Human Platform
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Abstract (arXiv)
Tendem is a hybrid system where AI handles structured, repeatable work and Human Experts step in when the models fail or to verify results. Each result undergoes a comprehensive quality review before delivery to the Client. To assess Tendem's performance, we conducted a series of in-house evaluations on 94 real-world tasks, comparing it with AI-only agents and human-only workflows carried out by Upwork freelancers. The results show that Tendem consistently delivers higher-quality outputs with faster turnaround times. At the same time, its operational costs remain comparable to human-only execution. On third-party agentic benchmarks, Tendem's AI Agent (operating autonomously, without human involvement) performs near state-of-the-art on web browsing and tool-use tasks while demonstrating strong results in frontier domain knowledge and reasoning.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 8 references that are in the map. First posted on arXiv 1 Feb 2026.
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References · 7
- 2022Survey of Hallucination in Natural Language Generationcited by 2,075
- 2023A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionscited by 1,601
- 2024A Survey on LLM-as-a-Judgecited by 1,423
- 2023GAIA: a benchmark for General AI Assistantscited by 1,128
- 2023SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelscited by 810
- 2025BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agentscited by 647
- 2022Large Language Models are Better Reasoners with Self-Verificationcited by 307
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- 2025Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
- 2026The Hierarchy of Agentic Capabilities: Evaluating Frontier Models on Realistic RL Environments
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- 2026Human Tool: An MCP-Style Framework for Human-Agent Collaboration