One agent or multiple agents?

I recently asked the following question on Twitter:

As a consumer would you rather have one personal agent that can book your travel, order you food, help manage your finances, manage your shopping, find you entertainment, keep in touch with friends, track and manage your health, and teach you things OR one specialized for each OR a useful friendly agent on every site you visit?

And then I had AI summarize the responses:

Preference for One Comprehensive Agent The majority of responses favor the idea of having a single, comprehensive personal agent over multiple specialized ones or a unique agent on every site visited. This preference is often articulated with references to “Jarvis,” implying a desire for an intelligent, centralized system that can handle a variety of tasks with ease and personalization. Respondents like @HomamMalk, @SullyOmarr, @jenny____ai, @teddypejoski, @cwizprod1, @DeveloperHarris, @jeremymstamper, @recursiverealms, @chiefaioffice, @kubla, @StonkyOli, @valb00, and @davey_morse explicitly support this idea, highlighting the importance of efficiency, personalization, and the ease of managing one agent over several.

Unique Insights or Ideas

@vintrotweets and @ntkris suggest a layered approach, where one personal agent with deep context interfaces with specialized agents as needed, anticipating a future where aggregation or coordination layers become necessary.

@NickADobos and @natesiggard express concerns about complexity and preference for flexibility, respectively. Dobos argues against a fragmented experience across websites, while Siggard values the option to replace sub-agents for task-specific improvements.

@HL3rd_ and @ChaseMc67 propose a hybrid model where a main agent manages specialized sub-agents, combining centralization with the flexibility to directly interact with specialized agents if desired.

@ktb18d, @dominiconorton, and @kubla emphasize the importance of a single platform for streamlining processes, reducing learning curves, and ensuring data consistency, likening it to a point of contact in banking or a trusted email provider.

@nileshtrivedi and @chunhualiao introduce broader concepts, with Trivedi focusing on the composability of skills rather than agents, and Liao suggesting adding voting to the personal agent’s capabilities to potentially replace traditional governmental representatives.

@StevenPWalsh introduces an economic perspective, questioning whether users prefer to tip each assistant or have one on a “salary,” thereby framing the debate in terms of user experience and economic efficiency.


The consensus leans heavily towards a single, comprehensive agent that can either perform a wide range of tasks independently or interface with specialized agents as necessary. This preference is motivated by the desire for simplicity, efficiency, and a personalized user experience. However, there are nuanced views that suggest a layered or hybrid approach might be more practical or desirable, allowing for specialization without sacrificing the convenience of central management. Economic considerations and the potential for innovative applications, such as in governance, are also highlighted, indicating a broader vision for the impact of personal AI agents beyond mere task management. *Did not check for hallucinations






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