smart reply to Aaron Levie X post: An easy way to ...

Published: September 14, 2025 Models Compared: Grok, Gemini, Claude

smart reply to Aaron Levie X post: An easy way to ...

Promptsmart reply to Aaron Levie X post: An easy way to think through how processes should be re-engineered in a world of AI agents is to figure out where have there been constraints in a workflow due to human time being available. Vinod Khosla had an interesting way of thinking about this which is that we’ve designed so much of our work to ration scarce resources within the enterprise. So many of our processes are designed to ensure the most expensive doctors, engineers, researchers, marketers, designers, or lawyers are only used at the most critical moments. But what happens when that level of expertise becomes available on-demand at any point in a process. AI agents effectively let us bring these scarce resources to anyone, on demand, and at the price of the previously cheapest resource. Most of our work hasn’t been rewired yet to benefit from that change yet. And the teams and companies that figure this out first will stand to gain the most from AI.
GrokxAI
smart reply to Aaron Levie X post: An easy way to think through how processes should be re-engineered in a world of AI agents is to figure out where have there been constraints in a workflow due to human time being available. Vinod Khosla had an interesting way of thinking about this which is that we’ve designed so much of our work to ration scarce resources within the enterprise. So many of our processes are designed to ensure the most expensive doctors, engineers, researchers, marketers, designers, or lawyers are only used at the most critical moments. But what happens when that level of expertise becomes available on-demand at any point in a process. AI agents effectively let us bring these scarce resources to anyone, on demand, and at the price of the previously cheapest resource. Most of our work hasn’t been rewired yet to benefit from that change yet. And the teams and companies that figure this out first will stand to gain the most from AI.
Hey Aaron, spot on! AI agents can truly democratize expertise, breaking down barriers of cost and time. The real challenge is rethinking workflows to integrate this on-demand capability seamlessly. Companies that adapt quickly to this paradigm shift will redefine efficiency and innovation. Excited to see how this unfolds! #AI #WorkflowRevolution
21:48
GeminiGoogle
smart reply to Aaron Levie X post: An easy way to think through how processes should be re-engineered in a world of AI agents is to figure out where have there been constraints in a workflow due to human time being available. Vinod Khosla had an interesting way of thinking about this which is that we’ve designed so much of our work to ration scarce resources within the enterprise. So many of our processes are designed to ensure the most expensive doctors, engineers, researchers, marketers, designers, or lawyers are only used at the most critical moments. But what happens when that level of expertise becomes available on-demand at any point in a process. AI agents effectively let us bring these scarce resources to anyone, on demand, and at the price of the previously cheapest resource. Most of our work hasn’t been rewired yet to benefit from that change yet. And the teams and companies that figure this out first will stand to gain the most from AI.
Here are a few smart reply options to Aaron Levie's X post:

* "Great point, Aaron! It's all about identifying those bottlenecks created by limited human availability and then unleashing AI to democratize expertise and reshape workflows."
* "Really insightful, Aaron. Vinod Khosla's perspective on rationing scarce resources is spot on. AI truly has the potential to level the playing field."
* "Totally agree, Aaron. Companies that proactively redesign their processes to leverage on-demand AI expertise will be the ones that thrive in the future."
* "This is a game-changer, Aaron. Rethinking workflows with AI agents in mind will unlock unprecedented efficiency and innovation."
* "Excellent food for thought, Aaron! The key is to rewire our work to fully capitalize on the availability of on-demand AI expertise."

21:48
ClaudeAnthropic
smart reply to Aaron Levie X post: An easy way to think through how processes should be re-engineered in a world of AI agents is to figure out where have there been constraints in a workflow due to human time being available. Vinod Khosla had an interesting way of thinking about this which is that we’ve designed so much of our work to ration scarce resources within the enterprise. So many of our processes are designed to ensure the most expensive doctors, engineers, researchers, marketers, designers, or lawyers are only used at the most critical moments. But what happens when that level of expertise becomes available on-demand at any point in a process. AI agents effectively let us bring these scarce resources to anyone, on demand, and at the price of the previously cheapest resource. Most of our work hasn’t been rewired yet to benefit from that change yet. And the teams and companies that figure this out first will stand to gain the most from AI.
This is a brilliant reframing. We've spent decades optimizing workflows around scarcity - building elaborate triage systems to protect our most skilled people from routine decisions.

But AI flips this entirely. Instead of "How do we minimize senior engineer time?" it becomes "How do we maximize the intelligent decisions made throughout the process?"

The companies winning early are those demolishing their careful rationing systems and flooding every touchpoint with expertise. The constraint was never the work itself - it was always the humans.

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Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

Grok: Provides a direct response with 5 sentences.

Gemini: Provides a direct response with 11 sentences.

Claude: Provides a direct response with 7 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

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This comparison was generated using the SNEOS AI Comparison ToolPublished: September 14, 2025 | Models: Grok, Gemini, Claude