Auto Research Digest 日本語

Thinking about adopting AI agents and generative AI for work through primary sources.

Using public documentation and papers to compare what work to delegate to AI agents and which evaluation, approval, and operating conditions matter before adoption.

AI Agents

Adding predictions from customer and order records to enterprise AI

Find policy, aggregate orders, and predict the next 90 days. How can staff assemble the information for choosing whom to contact?

Structured DataPredictive AINVIDIA KumoEnterprise AIEvaluation
Sources

14

Open briefing
AI Agents

What a personal assistant should remember to coordinate work across AI agents

Run requested tests, ask before adding a service, and leave paused work stopped. What does an assistant need to remember?

Agent MemoryPersonal AssistantsMulti-AgentHuman-AI InteractionEvaluation
Sources: 8 Open briefing
AI Agents

Where multi-agent systems have delivered measurable gains

Examine gains in code–test separation, development with dependencies, long computer-use tasks, parallel research

Multi-AgentEvaluationAI ResearchCoding Agents
Sources: 17 Open briefing
Agentic Commerce

Letting shopping agents pay: connecting budgets, orders, and returns

Compare UCP, ACP, AP2 v0.2, and Stripe payment tokens. Follow preferences into authorized purchases, changing totals, authentication

AI AgentCommercePaymentsUCPACPAP2
Sources: 14 Open briefing
AI Research

An enzyme system found by AI: from candidate search to experimental validation

When AI searches more candidates, which ones should scientists test? Enzyme discovery and hypothesis-generation systems offer different answers.

AI AgentAI for ScienceEvaluationMulti-AgentResearch
Sources: 9 Open briefing
AI Security

AI security patches in development: from reproduction to release

Compare Google, Mozilla, CodeMender, and GitHub with PatchBench’s counterevidence. Examine reproducible reports, root-cause repair, regression checks

AI AgentSecuritySoftware EngineeringEvaluation
Sources: 8 Open briefing
On-Device AI

Which native app tasks can on-device LLMs take on?

Compare Apple Foundation Models and Android ML Kit. Connect summarization, extraction, and classification to native features

On-Device AINative AppsAppleAndroidEvaluation
Sources: 14 Open briefing
AI Strategy

Should LLMs replace every if statement? Understanding Jev’s decision API

Interpreting a customer request and verifying the action are different jobs. How does Jev’s decision API change their division?

LLMClassificationAI ArchitectureEvaluationAI Agent
Sources: 12 Open briefing
AI Strategy

HACW: helping people and AI continue the same work

A finished AI draft does not by itself pass its assumptions to the next owner.

AI AgentHuman-AI CollaborationHACWAI WorkspaceOrchestrationAI GovernanceEvaluation
Sources: 11 Open briefing
AI Workflows

When an AI request is hard to specify, start with something judgeable

Clarify known constraints and use small artifacts to choose what to retain and repair.

Generative AIHuman-AI CollaborationAI WorkflowPromptingEvaluationLLM
Sources: 8 Open briefing
AI Agents

Use AI agent evaluation to decide what work needs repair

When a score rises, what work improved? Use execution evidence to choose what to repair.

AI AgentEvaluationObservabilityTool UseGovernanceLLM
Sources: 7 Open briefing
AI Workflows

Delegating desktop work to AI: connect entry with verification

After Save, can the owner establish what happened? Connect visual control, managed workspaces, and verification.

AI AgentComputer UseDesktop AutomationHuman ApprovalLegacy SystemsGovernance
Sources: 7 Open briefing
AI Workflows

Sales AI CRM updates: carry statements, forecasts, and agreements forward

Before turning a customer preference into a close forecast, establish which opportunity and judgment the record carries.

AI AgentSalesCRMHuman ApprovalWorkflowEnterprise AI
Sources: 10 Open briefing
AI Workflows

AI-generated presentations: preserve the argument and the next edit

Revise one figure and note to test a deck beyond its first appearance.

Generative AIPresentationPPTXImage GenerationAutomationEvaluation
Sources: 13 Open briefing
AI Agents

What an agent platform takes responsibility for: five approaches to one business task

Compare useful answers with responsibility for complete tasks and maintenance.

AI AgentGovernanceRuntimeEvaluationEnterprise AIMCP
Sources: 11 Open briefing
AI Agents

Find an agent and trial it at work: five ecosystems and adoption decisions

Turn a promising listing into a specific task, access scope, and decision to trial.

AI AgentAppsMarketplaceGovernanceMCPA2A
Sources: 9 Open briefing
AI Agents

Carry an agent’s work into tomorrow: memory, artifacts, and recovery

Carry forward usable work and its rationale, while checking what changed overnight.

AI AgentAutomationSessionsObservabilityWorkflowBackground Work
Sources: 8 Open briefing
AI Agents

Delegate one bug to a coding agent: from plan to a reviewable repair

After a passing-test notification, what does the engineer still need to investigate?

AI AgentCoding AgentSoftware EngineeringRuntimeWorkflowDevOps
Sources: 13 Open briefing
AI Agents

Agent memory design: why correct recall can still lead to the wrong decision

Useful memory must preserve corrections and applicability, not just retrieve the right record.

AI AgentMemoryLong-Term MemoryMulti-AgentRAGWorkflow
Sources: 12 Open briefing
AI Agents

Compare voice booking agents through corrections, interruption, and completion

After “another day,” track what is heard, what is saved, and what the next person knows.

Voice AIRealtimeSpeech-to-SpeechContact CenterAI AgentGenerative AI
Sources: 9 Open briefing
AI Agents

Delegating to subagents: turn completed research into usable decisions

Define inputs, independent scope, and evidence returned before adding investigators.

AI AgentSubagentsMulti-AgentWorkflowOrchestrationLLM
Sources: 8 Open briefing
AI Agents

Connecting work with MCP, A2A, and AG-UI: what has finished?

The investigation finished. Was the refund issued? Compare the completion signals and information the next person needs.

AI AgentMCPA2AAG-UIInteroperabilityProtocol
Sources: 7 Open briefing
AI Strategy

Compare video AI through revision: references, sound, and editing

Change the background, and the product changes too. Compare preservation, revision, and handoff through documented features from five vendors.

Generative AIVideo GenerationCreative ToolsAI Product
Sources: 15 Open briefing
AI Agents

Agent identity and user delegation: whose access is granted, and where it ends

When the requester changes, can permissions and saved results remain separate? Follow access from granting it to ending it.

AI AgentIdentityAuthenticationAuthorizationGovernanceOAuth
Sources: 7 Open briefing

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