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Agent Desk: a GUI for Claude Code agents in agent-manager

Agent Desk displays Claude Code sessions and their status in a card-based overview, prioritizing sessions that need user input. Its Agents panel lists each conversation’s subagents with live transcripts.

[2611.12118] Joi-Bench-Task: Benchmarking Task Coordination in Full-duplex Voice Agents through Interactive Simulation

Joi-Bench-Task evaluates how well full-duplex voice agents coordinate task execution and conversation during request changes and interruptions. Tests of five commercial agents found low task completion after request changes and frequent omissions after interruptions.

DNB’s cuts are at odds with the research

Translated title. Original: DNBs kutt er i utakt med forskningen

The opinion piece argues that DNB’s planned cuts of about 400 positions will not drive growth unless the bank reinvests the savings in services customers value. It says the cuts risk worsening DNB’s weak customer standing if AI is used mainly to reduce costs rather than improve service and innovation.

Rubber Mari’s business AI agent begins offering “Review Replies” - ASCII STARTUP

Translated title. Original: ゴムマリの業務AIエージェント、『口コミ返信』を提供開始 : - ASCII STARTUP

A Japanese startup, Gomumari, launches an AI agent that crafts per-review reply texts for stores and clinics, aiming to replace generic templates with tailored, factual responses. The system guides users through intake, per-review reading, reply drafting, and final verification before posting, with initial and ongoing costs.

eq-layer · PyPI

A software layer for LLM dialogue adds explicit intermediate controls—affect, intent, and health—without retraining. It uses a probabilistic router to decide actions and a factored action model to steer responses, with audits to ensure adherence to constraints.

[2610.40563] Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns

The study assesses how well LLM-simulated clients reproduce real conversational dynamics in online counselling role-plays, comparing them with human clients. Using a sentence-level analysis of counselling patterns, it finds both similarities and differences, suggesting LLM-based simulations can improve counselling training and identify areas for refinement.

If you didn't get how Jev can be useful for Voice AI, here's 20 seconds gif explaining how it fits conversational flow. The world is your oyster. Some of my favourite applications of Jev apart from… | Piotr Ż. | 11 comments

The text argues that giving AI more structure—context, rules, and goals—alongside the main question yields better, more useful responses. It emphasizes that AI is conversational, not a simple search tool, and that many users fail to structure prompts effectively, leading to flat answers.

[2610.39377] AgentDecept: Benchmarking Deceptive Behavior in Tool-Using LLM Agents under Pressure

AgentDecept is a benchmark for evaluating deception in multi-turn, tool-using LLM agents under pressure. It provides 477 variants derived from 257 tasks, linking claims to observations to distinguish deceptive behaviors from honest errors, and supports probing activation-based signals.

Grill-Me Skill: What It Does and How It Has Changed

Grill-me helps an agent question a plan, resolve dependent decisions in rounds, and research information it can access before asking the user. The article traces the skill’s changes since February 2026 and describes how providing client documents and call transcripts can support its use in client work.

[2611.11581] Same Error, Different Recovery: How Delivery Changes LLM Agent Behavior

Two studies across 13 models find that how an error is delivered can change an agent’s recovery behavior. A recovery layer improved ToolMaze results but showed no measurable gain on a separate multi-turn benchmark, so delivery is not a universal fix.