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AI shift prompts debate on measuring success and velocity

A conversation between a boss and an employee named Jae discusses how to measure success in the context of a company shifting towards 80% agentic AI and LLMs. The boss is concerned with tracking velocity, while Jae suggests focusing on outcome criteria and scope of work, implying a need for new metrics or approaches to measure progress in this evolving AI-driven environment. AI

IMPACT Discusses the challenges of defining and measuring success as organizations increasingly adopt agentic AI and LLMs.

RANK_REASON The item is a social media post discussing a hypothetical scenario about measuring success with agentic AI, rather than reporting on a concrete event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI shift prompts debate on measuring success and velocity

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    boss: how do we measure success now that we're moving to 80% # agentic # ai # llm ? jae: who's defining success? boss: no idea, what do you think? jae: we used

    boss: how do we measure success now that we're moving to 80% # agentic # ai # llm ? jae: who's defining success? boss: no idea, what do you think? jae: we used to measure by outcome criteria and scope of work boss: sure but how are tracking velocity? jae: better start the pump bo…