SOURCE READING
Original and translation
The excerpt and translation use the primary source below. Further references inform SHIO’s analysis.
Primary source
- Original title
- How AI agents shape experts’ judgment calls
- Original author / institution
- Amaç Herdağdelen, Hailey Joren and Alex Tamkin / Anthropic
- Primary source
- Anthropic
- Source language
- English
- Original publication date
A short phrase from the source, with context omitted. Chinese and Japanese translations by SHIO, November 2, 2026. Independent analysis follows separately.
Basis for use：Short attributed quotation; no article-specific open license identified
This edition uses the source language, so the original appears once.
two reasonable optionsSHIO analysis
Leave room for judgment alongside easier calculation
The following is SHIO’s independent judgment and discussion of methods. It is separate from the source text and its translation.
SHIO reading note
Anthropic’s October 27, 2026 research post raises a practical question about expert work with agents: when AI handles the analysis, how are the remaining choices made?
The central idea
SHIO considers accepting an AI recommendation a potentially reasonable choice. The project owner should still be able to explain whose purpose it serves, what it leaves aside, and what would justify changing course.
A result can be calculated; a purpose must be chosen
The linked paper analyzes 50 professional analysts using Claude Code on a fictional farming-cooperative task. Agents were randomly assigned which option to favor, and researchers deliberately made them express that preference. Across four analytical choices, participants matched that lean 86% of the time. This finding is specific to the task and model conditions; it cannot describe all experts’ everyday work.
SHIO is interested in the choices that remain even when the calculation is sound. For a branding project, targeting the number of inquiries and targeting the share of inquiries suited to a lasting relationship could lead to different content, channels and budget allocations. Both can be calculated. Calculation alone cannot decide which serves this particular business. This is SHIO’s example of a business decision, rather than a project measured in the study.
Keep your questions before hearing a complete recommendation
When preparing a proposal, SHIO suggests that the owner first write down a few consequential judgments. Which customers should it reach? Is the business struggling to be noticed, to be understood, or to move inquiries forward? How much time can the business commit, and which promises cannot yet be made? These notes need not contain polished answers. They give the subsequent discussion a starting point. AI can organize material, compare costs and identify conditions the owner has overlooked.
After receiving a recommendation, return to the purpose: would the conclusion hold if that purpose changed? Publicity for a short event and a company website that must explain professional capabilities over time should not be compared solely by one week’s inquiry count. A team can ask AI to explain another workable arrangement fully, then have the owner say which to adopt. The aim is to understand the reason for accepting advice, rather than to oppose it for its own sake.
Explain the choices at delivery so they can inform the review
Clients do not need every conversation, but they do need the choices that affect implementation. SHIO would explain a proposal’s purpose, major assumptions and directions left aside together. Why organize the service pages before adding another publishing section? If the pace of the client’s business changes, what should be reconsidered first? This helps the client understand the conditions behind the proposal and gives the next person a clearer sense of where they can decide.
At review, place the original judgment beside the response it received. If inquiries come from a different group, or customers need different material, revise the questions and the arrangement. A fluent earlier explanation is insufficient reason to continue. The expertise worth retaining includes understanding a situation, presenting options, taking responsibility for a decision and reconsidering it as conditions change. As AI does more of the work, the owner’s understanding of the project should deepen too. These are SHIO’s proposed working practices, not interventions proven to eliminate agents’ influence.
A question for practice
Delegate calculation, organization and comparison while retaining your understanding of the purpose and its conditions. A recommendation worth adopting should be one the project owner can explain in their own terms.
REFERENCES & EDITORIAL NOTE
Sources & further reading
Source excerpts, translations, and SHIO’s independent analysis are presented separately. The resources below offer additional context and further reading.
Anthropic · Primary source
How AI agents shape experts’ judgment calls
Original source date：Accessed：Only a short attributed phrase is quoted, with separate SHIO analysis. No article-specific open license or permission for full translation was identified. No images, charts or full text are reproduced; no Anthropic endorsement is implied.
Amaç Herdağdelen, Hailey Joren and Alex Tamkin / Anthropic-hosted research paper
Who’s Aligned to Whom? How AI Agents Shape Experts’ Research Judgment Calls
Original source date：No publication date providedAccessed：Brief factual context from the same study; not an independent replication. The PDF does not establish its first-publication date or an open license. No figures or full text are reproduced.