Work to delegate and stop conditions
The required stop conditions and reviewers change when a task updates customer or internal data rather than ending with an answer.
Research Signal
AI Agents
A topic for deciding which work to delegate to AI agents and where to place evaluation, approvals, permissions, and observability, using public documentation and concrete implementations.
Topic hub
AI Agents
A topic for deciding which work to delegate to AI agents and where to place evaluation, approvals, permissions, and observability, using public documentation and concrete implementations.
Adoption sequence
Four questions to separate before putting AI agents into work
This topic does not compare AI agents only by answer quality. It separates who performs each step, where work must stop, and what must be checked in a real workflow.
What to evaluate
The briefings separate final answers from tool selection, execution order, intermediate artifacts, and failure handling.
Approvals and permissions
Human-approved actions, policy-evaluable actions, and prohibited actions are treated separately from model capability.
State and observability
For long-running work, the ability to inspect ownership, progress, evidence, and resume conditions distinguishes an operating system from a one-off demo.
Latest article
Latest briefing in this topic
Scan the newest briefing in this topic first, with the teaser and evidence count kept in view.
Evaluating AI agent actions beyond the final answer
The same correct answer can conceal an unapproved write. Check events, arguments, and final state separately.
Published briefings in this topic
Published briefings in this topic
Published briefings in the same category, listed in reverse chronological order.
How to compare permissions, approvals, and evaluation in agent platforms
Test permissions and approvals through a complete ticket-update task.
Sources: 3
Open briefing
From an agent listing to an approved organizational trial
Turn catalog descriptions into a clear scope of access and an actionable trial decision.
Sources: 3
Open briefing
What to preserve so an AI agent can resume interrupted work
Preserve the progress and files a task needs, then test what happens when execution stops.
Sources: 3
Open briefing
Reviewing a coding agent: plans, permissions, diffs, and tests
Understand what a readable plan, a verified signature, and passing tests each establish.
Sources: 4
Open briefing
Designing agent memory for retrieval, applicability, and updates
Correct recall can still lead to a wrong answer when applicability and updates are mishandled.
Sources: 3
Open briefing
Handling corrections, interruptions, and saved results in voice booking agents
Carry a caller’s correction through playback and the actual booking result.
Sources: 3
Open briefing
When to split AI work into subagents, and what they need to share
Separate independent research from dependent steps before choosing a subagent structure.
Sources: 3
Open briefing
MCP, A2A, and AG-UI are separating the connection stack for AI agents
A concise map of how agent connectivity is splitting into tool access, agent delegation, and human-facing approval layers.
Sources: 27
Open briefing
Agent identity is becoming the control plane for authentication and authorization
A short read on agent identity as the layer that joins native IDs, delegation, protocol trust, and governance.
Sources: 36
Open briefing
Cowork signals that workplace AI is expanding into long-running agent systems
Read how Cowork signals a shift toward long-running workplace agents that combine reasoning, execution, and governance.
Sources: 43
Open briefing
Security gates are becoming part of the core comparison axis for AI agents
A concise look at how prompt-injection defenses, tool policy, approvals, and sandboxing are becoming shipping gates.
Sources: 26
Open briefing
AI agent adoption is shifting from model races to operational architecture
Read how enterprise adoption is moving from model races toward tooling, evaluation, safety, and oversight.
Sources: 33
Open briefing
Agent architecture is becoming a more important comparison axis than model novelty
A short read on why protocol, SDK, runtime, evals, and approvals now define the agent architecture question.
Sources: 8
Open briefing
Control planes and evaluation discipline are starting to set the pace of agent adoption
See why control planes and regression evaluation now shape the speed of agent rollout.
Sources: 8
Open briefing
The strongest signal across 2025 is the rise of explicit operational boundaries
A recap of how 2025 shifted the agent stack toward explicit operational boundaries.
Sources: 8
Open briefing
Multi-agent workflow is appearing as a configurable, observable product surface
A concise look at workflow itself becoming a configurable, observable product surface.
Sources: 9
Open briefing
Workflow tooling is catching up with agent complexity
Read how a tooling layer is emerging around agent graphs, connectors, chat UI, trace grading, and orchestration.
Sources: 10
Open briefing
Agent SDKs are expanding beyond coding assistance into a broader application layer
A quick read on how agent SDKs are expanding from code helpers into general workflow building blocks.
Sources: 11
Open briefing
Agents spanning coding and research are moving into broader workflows
See how coding and research agents are expanding into workflows that cross code, data, and documents.
Sources: 7
Open briefing
AgentOps is becoming a control layer rather than a helper feature
Read how traces, reviews, observability, and tool governance are becoming the control layer for agents.
Sources: 8
Open briefing
Interoperability is moving from roadmap rhetoric into a real integration premise
A short read on how A2A, MCP, and OpenAPI are turning interoperability into a current design premise.
Sources: 10
Open briefing
Multi-agent design is becoming an operating model, not just a concept diagram
See why multi-agent design is turning into an operational question of responsibility, evaluation, and audit.
Sources: 8
Open briefing
Open runtimes and managed platforms are starting to connect inside the same architecture
A concise guide to the emerging architecture that separates open protocols, hosted execution, and approval design.
Sources: 11
Open briefing
Managed agent primitives are arriving across multiple vendors at once
Read the shift as runtimes, tooling, and multi-agent coordination become part of product comparison.
Sources: 8
Open briefing
Agent evaluation is becoming a gating layer rather than an afterthought
A quick read on why evaluation, reproducibility, and oversight now separate prototype agents from production candidates.
Sources: 10
Open briefing
Browser-oriented agents are moving from research themes into product roadmaps
See how Operator, AutoGen v0.4, and computer-use research push browser agents into real product roadmaps.
Sources: 10
Open briefing
AI agents are moving from flashy demos to measurable system design
A short read on how research and vendor updates shift attention from prompt experiments to measurable system design.
Sources: 10
Open briefing