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Practitioner Recaps FDE Workflow for Million-Dollar AI Projects

11/11/2026 — 11/11, 16:20·1 sources (all)·1 reports (all)

Key takeaways

  • A practitioner has published a retrospective on more than a year of delivering AI projects for state-owned enterprises and listed companies.…

Background & analysis

On November 11, 2026 at 15:38, a practitioner posted an article on the Chinese developer platform cnblogs titled 'From 0 to 1 as an FDE: A Retrospective on Acquiring and Delivering Million-Level AI Projects'. Drawing on more than a year of experience delivering AI initiatives, training and handovers for state-owned enterprises and publicly listed companies, the author reviews how they took on several million-level projects and walks through the approach behind acquiring clients, closing deals and delivering results. The piece opens by asking why someone can be highly skilled with AI yet still fail as an FDE. It notes that FDE has been a popular topic, but that most of what people hear about is being exploited by training programs. The author adds that so many people have been asking privately that they decided to collect these reflections and share them, hoping to help genuine readers avoid the pitfalls of FDE implementation. The article stops there, and no further updates are covered in the available material.

AI-generated from 1 reports · updated 2 days ago

updream
24-hour heatHeat index 25 · peak 43 · 23h ago
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Reports on this story headlines open the original

Nov 11
  1. An experienced practitioner reviews more than a year of delivering AI projects for state-owned enterprises and listed companies, focusing on how forward-deployed engineers win clients, close deals and deliver work. The post also warns about training programs in the FDE space and aims to help readers avoid common pitfalls.

    博客园AI score 57

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