Three-stage vision: From "human-led tools" to "workflow automation", and ultimately to an "autonomous

Three-stage vision: From "human-led tools" to "workflow automation", and ultimately to an "autonomous decision-making system", in which multiple agents work together to play the role of a new employee.

The company will hire people for strategic insights, talents and tastes, and the entire company will be run by a team of Agents.

The model of "one person commanding a team of professional Agents" in this vision means that the role of humans will shift from tedious execution to high-level strategy formulation and order issuance.

In this environment, newly added strategic talents will no longer need to learn a lot of operational details, but will quickly master how to efficiently interact with AI Agents and issue instructions.

The new organizational structure can achieve the effect of 1000 people with a high degree of human-machine collaboration.

It is not difficult to understand why so many small start-up AI teams can achieve results that seemed to require a large investment of resources in the past.

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flowchart LR
  format-long_post["longform note"]
  topic-agents["agents"]
  topic-tooling["tooling"]
  capability-agent-workflow["agent workflow"]
  capability-ai-native-workbench["AI-native workbench"]
  market-applied-ai-team["applied AI team"]
  format-long_post -->|covers| topic-agents
  format-long_post -->|covers| topic-tooling
  format-long_post -->|signals| capability-agent-workflow
  format-long_post -->|signals| capability-ai-native-workbench
  format-long_post -->|signals| market-applied-ai-team

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flowchart LR
  thesis["Three-stage vision: From \"human-led tools\" to \"workflow automation\", and ultimately to an \"autonomous decis..."]
  signal["Three-stage vision: From \"human-led tools\" to \"workflow automation\", and ultimately to an \"autonomous decis..."]
  operator["In this environment, newly added strategic talents will no longer need to learn a lot of operational detail..."]
  implication["It is not difficult to understand why so many small start-up AI teams can achieve results that seemed to re..."]
  thesis -->|frames| signal
  signal -->|develops| operator
  operator -->|lands in| implication

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