Every step of a founder's journey deserves a record.Founders · AI · PolicyCHINAOPC / ENGLISH EDITION
Original analysisAI-assisted
FDE Troubleshooting: Linking Retrieval, Models and Tools in One Request
When customers say results are slow or incomplete, scattered logs often fail to explain what happened on the same job. Based on the concept of OpenTelemetry tracking, this article discusses how business request identification, step time and expense records are related, explaining that sensitive content does not need to be written to the log in its entirety. The goal is to make faults localizable, rather than directly equating collecting more data with a more secure system.
ChinaOPC Editorial TeamOriginal analysis1 min readChina2 views
Source timingPublic information and official documents; verified on October 23, 2026.
OpenTelemetry describes the relationship between operations through traces and spans. This article provides recording ideas for AI applications, but it does not mean that anyone who connects will automatically get a complete business explanation.
Reserve the associated identifier for the same business
Simulate client generated reports, retrieval, model, tool and file output share a traceable identifier, recording start, end and error type respectively. Task content can be associated with controlled references to avoid copying complete customer data to ordinary logs.
Record the fields that can support the decision
Troubleshooting requires entering size, version, retry and wait information, and costs should be tagged with real interface bills or clear estimates. The two cannot be confused for accurate settlement. Too many record fields increase exposure and maintenance burden, and should be chosen around practical problems.
Check traceability with a simulated failure
Let a certain step fail in the test environment, and confirm that the maintainer can find the corresponding reason from the user task and know the next step. Different system clocks and asynchronous processing also need to be considered. This article provides implementation methods and does not claim that monitoring tools can replace permissions, quality checks, or human judgment.
AI assists in organizing and writing, and editors check public sources. The main text is an independent analysis by ChinaOPC, with source facts and simulation plans separated; no interviews, financial audits or actual product testing have been conducted. Official documents are based on the original text of the source and have not been adapted or replaced. English translation of the Chinese edition, prepared with machine assistance and editorial checks. Source verification dates refer to the original Chinese research.
Source titles and publisher names are retained in their original language. Refer to the linked originals for official documents and current requirements.
The Overseas Edition of People's Daily reported on October 30 the FDE talent cultivation and industry docking arrangements in Wuchang Street, Hangzhou, involving collaboration between enterprises, technical service providers and the OPC community. This article studies the division of labor of a small team from contact with requirements to completion of the pilot, discusses how to connect on-site problems, customer confirmation and subsequent maintenance; and understands planning, matching and actual delivery results separately.
Anthropic’s Claude Frontier Academy program, announced on October 2, connects simulated enterprise deployments with project practice after returning to the organization. This article studies FDE training ideas according to official instructions, focusing on how task selection, review and handover enter the assessment; this is an observation of corporate training cases, not a registration notice open to all entrepreneurs.
At the Changping OPC co-creation event on October 25, practitioners shared their search for AI application opportunities from specific scenarios such as equipment, reports and customer feedback. Based on official event reports, this article discusses how FDE converts on-site problems into verifiable tasks, and makes it clear that event sharing does not mean that the project has been launched or that it has brought definite benefits.