In the era of AI, the business decision-making process may need to be redesigned. Many practitioners are beginning to explore a new work approach: for any project, first ask yourself, can Open Code combined with the GLM model be done at the lowest cost? If not, consider using Claude and investing some token resources to complete it. If that still doesn't work, organize the requirements into complete prompt words and hand them over to professional analysis tools like Gemini for solution design and requirement decomposition. Next, establish a collaboration group, share prompt documents, assign specific tasks according to AI division suggestions, and finally use project management tools to generate schedules and track goals.

This process appears logical and significantly improves efficiency. Some people feel that if this continues, the staffing of many traditional positions will indeed need adjustment. Behind this reflects the reality that AI toolchains are gradually maturing and the pressure on enterprise operating costs is increasing— in the foreseeable future, talents who know how to harness and integrate these tools may be more valuable than employees with pure execution ability.