While I was working on the multiagent system workflow posted a couple of weeks ago, I came up with the following PRD for this idea on Jarvis, the executive assistant agent. Having product management experience, I created a PM agent to produce the document. It may be appropriate to start a new thread, but I came up with the following PRD for Jarvis, the executive assistant agent.

This idea came to me because I have been having to create, update, and delete agents on a regular basis to accommodate changes in my needs. Since some of the conversations are important pieces of knowledge, I backup and save the agents' conversations into a text file before deleting them.

The ability to manage the relationship and hierarchy between parent and child agents—for instance, by configuring a master PM agent and slave agents specifically for each project—would improve the user experience in a centralized, methodical framework for agent management and governance. In this framework, the user only needs to update the prompt for the master PM agent; the slave agents do not require updating. At the level of the slave agent, only commands require updating.

Although it may be a challenging engineering project, I believe it has the potential to transform the application into a sophisticated enterprise tool.

Let me know what you think!

Product Requirement Document (PRD)

Product Title: Enhanced Custom Agent Management and Executive Assistant Agent

Author: [Your Name]

Date: [Date]

This document outlines the requirements for enhancing the navigation and usability of custom agents within Taskade. The key features include improved tracking of agent conversations, an advanced executive assistant agent named to delegate tasks to the appropriate custom agents based on user prompts, and dynamic creation and selection of agents. Additionally, this document addresses the need for conversation backups and value assessment when users delete agents.

: Simplify the process for users to track and continue conversations with custom agents.

: Develop an intelligent agent capable of analyzing user prompts and delegating tasks to the most suitable custom agent.

: Enable dynamic creation and selection of agents, forming a multi-agent system to meet complex user requirements.

: Provide users with options to backup conversations and present value assessment when deleting agents.

3.1 Improved Navigation and Tracking

: Implement a feature that enables users to easily track their last interaction with custom agents and navigate back to it.

:

: Display a list of recent conversations with custom agents on the user's dashboard or a dedicated section.

: As a user, I want to see a list of my recent conversations with custom agents so that I can easily continue where I left off.

: The recent conversations list should display the agent's name, a snippet of the last conversation, and the date/time of the interaction. Clicking on an entry should take the user directly to that conversation.

: Allow users to search and filter custom agents by name, role, or last interaction date.

: As a user, I want to quickly find a specific custom agent using search and filters.

: The search bar should support keyword input, and filters should allow sorting by name, role, and interaction date.

: Enable users to mark specific agents as favorites for quicker access.

: As a user, I want to mark some agents as favorites so that I can access them quickly.

: Users should be able to mark/unmark agents as favorites. A dedicated favorites section should display these agents prominently.

3.2 Executive Assistant Agent - Jarvis

: Develop an advanced agent named that acts as an executive assistant, analyzing user prompts and redirecting them to the appropriate custom agent.

:

: Implement natural language processing (NLP) capabilities to understand and analyze user prompts.

: As a user, I want Jarvis to understand my prompt and decide which custom agent is best suited for the task.

: Jarvis should accurately interpret the user’s prompt and provide a summary of its analysis before redirecting the task.

: Based on the analysis, delegate the task to the appropriate custom agent.

: As a user, I want Jarvis to delegate tasks to the best-suited custom agent automatically.

: Jarvis should seamlessly redirect the task to the selected custom agent and notify the user of the delegation.

: Allow users to provide feedback on the accuracy of task delegation to improve Jarvis’s performance over time.

: As a user, I want to provide feedback on Jarvis’s performance to refine its accuracy.

: After delegation, users should be prompted to rate the accuracy and relevance of the agent selection. This data should be used to improve Jarvis’s algorithms.

3.3 Agent Governance Model

: Establish Jarvis as a central governance model that enables dynamic creation and selection of agents based on user requirements, forming a multi-agent system.

:

: Jarvis should be able to create new custom agents dynamically based on specific user requirements and contexts.

: As a user, I want Jarvis to create new custom agents dynamically when my prompt requires specialized tasks that existing agents cannot handle.

: Jarvis should create a new custom agent if needed and brief the user about this creation, including its role and capabilities.

: Enable Jarvis to coordinate between multiple custom agents to accomplish complex tasks.

: As a user, I want Jarvis to manage multiple custom agents working together to complete complex tasks.

: Jarvis should delegate subtasks to different agents and coordinate their outputs to achieve the overall task objective.

: Continuously monitor agent performance and optimize agent selection and task delegation processes.

: As a user, I want Jarvis to learn from past interactions and improve its performance over time.

: Jarvis should use historical data to refine its agent selection and delegation processes, providing more efficient and accurate task completion over time.

3.4 Conversation Backup and Value Assessment

: Provide users with options to backup conversations and present a value assessment when deleting agents.

:

: When a user decides to delete an agent, prompt them to back up their conversations.

: As a user, I want an option to backup my conversations when deleting an agent so that I don’t lose valuable information.

: The system should prompt the user with an option to back up conversations before confirming agent deletion.

: Show a summary of the conversations and recommend actions based on the value of the knowledge created.

: As a user, I want to see a summary of my conversations and receive recommendations based on the knowledge value before deleting an agent.

: The system should display a summary and recommended actions, assessing the value based on user preferences and inferred metacognitive analysis.

: Assess the value of conversations based on user’s explicit preferences and inferred metacognitive analysis of tool usage.

: As a user, I want the system to assess the value of my conversations and consider my usage patterns before making recommendations.

: The assessment should incorporate both explicit user preferences and inferred data from past usage to provide accurate recommendations.

: Integration with a robust NLP engine to analyze user prompts.

: Enhancements to the backend to support tracking, searching, and filtering custom agent interactions.

: UI/UX design and implementation to support new features.

: Tools to monitor and optimize agent performance and task delegation processes.

: Solutions to allow users to back up and store conversations securely.

| Milestone | Target Date |

|-------------------------------|-------------------|

| Requirements Finalization | [Date] |

| Design Phase | [Date] |

| Development Phase | [Date] |

| Testing Phase | [Date] |

| User Feedback and Iteration | [Date] |

| Final Release | [Date] |

: Increase in the number of interactions with custom agents.

: Positive user feedback and ratings for Jarvis.

: Improved task delegation accuracy as measured by user feedback.

: Reduced task completion time and increased efficiency of the multi-agent system.

: User satisfaction with backup options and conversation summaries when deleting agents.

This PRD serves as a comprehensive guide to develop and implement the enhanced navigation and executive assistant features in Taskade. Feedback from all stakeholders will be crucial in refining these requirements and ensuring successful execution.