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.
Latest update: September 5, 2026
Research Signal
Primary-source research for deciding what to delegate, evaluate, and approve before putting AI agents and generative AI into work.
Using public documentation and papers to compare what work to delegate to AI agents and which evaluation, approval, and operating conditions matter before adoption.
Featured briefing
Latest published briefing
Start with a compact editorial frame for the newest published briefing before moving into the full list.
When can a human approval become a rule for future agent tasks?
An invoice example separates remembered decisions from permission to act on the next task.
Topic navigation
Topics
Start from the major categories to follow the published briefings as organized topic streams.
AI Workflows
A topic for deciding how far to automate workflows from input to deliverables or updates, and where to retain review across presentations, sales work, existing desktop systems, and human-AI collaboration.
Latest update: September 5, 2026
AI Strategy
A topic for comparing the design and operating conditions of generative AI across interfaces, presentations, voice, video, sales work, and existing business workflows.
Latest update: September 5, 2026
Published Briefings
Published Briefings
Published briefings listed in reverse chronological order.
When to clarify a request and when to show an AI prototype
Distinguish missing requirements from emerging preferences, then choose a question or an inspectable prototype.
Sources: 4
Open briefing
Evaluating AI agent actions beyond the final answer
The same correct answer can conceal an unapproved write. Check events, arguments, and final state separately.
Sources: 3
Open briefing
Verifying AI data entry and saves in applications without APIs
If the screen freezes after Save, should the agent retry? An invoice example shows what to verify first.
Sources: 3
Open briefing
What to verify when sales AI turns meeting notes into CRM updates
Does “deployment next month” justify a close date? Check the target opportunity and evidence before saving.
Sources: 3
Open briefing
Choosing editable formats for AI-generated presentations
Test edits to numbers and notes to judge an AI-generated deck beyond its appearance.
Sources: 4
Open briefing
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
How practical video generation AI has become: the latest product status and technology shifts across five major platforms
A five-platform comparison of video generation AI across audio, safety, reference consistency, editing, and iteration speed.
Sources: 30
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
Why generative AI products converge on chat, and why chat will not stay alone
See why chat remains the entry point for AI products while state, approval, and editing surfaces grow around it.
Sources: 22
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