Episode
The Agent Network — Dharmesh Shah
- Published
- Mar 28, 2025
- Duration seconds
- 5885
- Processing state
processed- Canonical source
- https://www.latent.space/p/dharmesh
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Summary
If you’re in SF: Join us for the Claude Plays Pokemon hackathon this Sunday! If you’re not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards! For this episode: Thanks to Matija and Dan and Meng Shao for sharing on socials. We are SO excited to share our conversation with Dharmesh Shah , co-founder of HubSpot and creator of Agent.ai . A particularly compelling concept we discussed is the idea of " hybrid teams " - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members . This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members. The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about . While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities. The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access . He envisions a future where users can selectivel…