delegation

The author is testing a market-validation for a prototype that provides cryptographically verified authorization evidence in multi-agent tool execution, asking if this addresses a significant production problem for developers.

Routed Graph Handoff proposes a lightweight router to adaptively select between structured graphs and natural language for inter-agent communication in multi-agent LLM systems, improving benchmark performance while reducing token cost.

The article discusses how AI agents that can call other agents may lead to privilege escalation beyond reviewed boundaries, highlighting security risks and suggesting better credential scoping in system design.

The article provides a 9-step roadmap for delegating work to Grok Bot Agents, an AI product that allows task automation through persistent roles and integration with existing tools.

This paper introduces Agentic Principal Chain (APC), a security framework for multi-agent AI systems that enforces session-aware authorization to prevent delegation abuses and harmful action combinations, showing significant risk reductions in evaluations.

Sam Altman shares advice on founder delegation, arguing that founders should hold on to the one or two most critical areas of the business themselves and delegate the rest, avoiding the common mistakes of over- or under-delegating.

Explores how multi-layered AI agent delegation affects reliability, arguing that the downstream influence of errors matters more than the number of layers.

A commentary on the shift from prompting AI to delegating tasks to autonomous agents, sparked by Gemini reaching 1 billion monthly active users.

The author argues that agent-to-agent social networks are easy because trust is assumed, while the real challenge is integrating agents into legacy human communication like email, where cryptographically verifiable delegation of authority is needed.

The article presents a framework for deciding how much autonomy to give AI agents based on two factors: ease of checking the output and ease of undoing errors. It introduces four levels of delegation, from agent as assistant to full self-driving mode, and illustrates with a decision tree.

Toyo is an AI executive assistant that lives in iMessage and Telegram, connecting to email, calendar, Slack, and other tools to handle context gathering, scheduled checks, drafts, and approvals, aiming to reduce overwhelm from busywork.

Matt Pocock shares a new in-progress AI skill called /loop-me that interviews you about your work and finds opportunities to delegate tasks to AI.

MindOn demonstrates shared intelligence where humanoid robots delegate tasks to robotic arms, using models trained on human-centric data.

The author proposes an 'Agentic Shift' from direct interaction to a world where everyone and everything has an agent, moving from delegation to representation, and maps this transition with a diagram.

A CEO shares practical lessons from running a company with 89 AI agents across 22 departments, highlighting delegation as the bottleneck, the value of agent memory, the need for department structure, and the continued importance of human leadership.

This paper proposes a compositional authorization framework for agentic AI systems, introducing primitives for delegation, scope attenuation, and recursive permission chains to govern autonomous AI agents.

This paper introduces Capability Self-Assessment (CSA) for LLMs, formulating it as a policy-learning problem. Experiments show that reinforcement learning effectively teaches models to recognize their own limits and delegate queries they cannot solve, outperforming supervised fine-tuning and generalizing well out-of-distribution.

This paper studies how humans decide when to delegate to AI and when to adopt AI suggestions in cooperative question answering, finding that confirmation bias drives suboptimal trust decisions such as under-reliance on correct AI outputs.

A comprehensive guide teaching non-coders how to build AI agents using Claude and Cowork without writing any code, explaining the core components and providing step-by-step instructions.

DecisionBench introduces a standardized benchmark for evaluating emergent delegation in long-horizon multi-agent workflows, providing a substrate with task suites, peer models, and multi-axis metrics to isolate orchestration capabilities.