Enable Agent to Intelligently (specifically) Answer "What's Next" Development Information

[ArsalonAI]

Description:
This user story focuses on enabling the AI agent, Prosper, to provide users with information about its upcoming development plans when prompted in a natural language conversation on supported platforms (Twitter, Telegram, or Discord). Prosper will access predefined development goals and milestones stored in its configuration (e.g., character.json) and deliver this information using a prompt-engineered template. The response will be engaging, informative, and tailored to the user's context.

Objective:

• Enable Prosper to articulate its development roadmap upon user request.
• Ensure responses are accurate and aligned with the information stored in its configuration.
• Provide users with an engaging and informative experience, reflecting Prosper's personality.
• Log the interaction for future reference.

Stages:

1. Request Reception
2. Data Retrieval
3. Response Generation
4. Delivery
5. Logging
6. Error Handling

Acceptance Criteria:

Request Reception:

• Prosper should correctly recognize and parse natural language requests about its development plans, e.g., "@prosper, what's next?", "Tell me about your future plans", or "What's your roadmap?".

Data Retrieval:

• Prosper accesses predefined development milestones and goals stored in its configuration (e.g., character.json).
• The data includes:
• Upcoming features (e.g., Reality Spiral integration, additional agents).
• Token launch details and progress.
• Long-term vision and goals.

Response Generation

• Prosper generates a response that includes:
• Key upcoming milestones.
• Highlights of future capabilities and integrations.
• (Optional) A motivational or engaging statement about the journey ahead.
• (Optional) Personalized elements based on user relationship (if available).

Delivery

• Prosper sends the response to the user on the platform where the request was made.

Logging

• Log details of the interaction, including:
• User request.
• Response content.
• Timestamp and status (success/failure).

Error Handling:

• Handle cases like:
• Missing or incomplete milestone data.
• Invalid or ambiguous user requests.
• Provide fallback messages if necessary (e.g., "I'm still learning about my roadmap; check back soon!").

[ArsalonAI]

@jkbrooks adding @Imsharad to this for visibility and because I think it's essential an extension of our prompt template for responding to users who request info from the agent about it's development.

Sharad is working on extending the built in Twitter response templates for Trade/DeFi questions but can essentially consider adding templates to handle this type of use case as well.

[monilpat]

This could use some more work so keeping it open. We need to add more on what we are doing and allow it to retrieve it more efficiently

[ArsalonAI]

@monilpat got it. Since you have had the call with Splinty and seem to have a comprehensive understanding of the indicators, the trading algorithm, etc. is this something you could add somewhere in the character.json knowledge or ...? what are the proposed next steps and DIR (direct responsible individual) to assign to?

[mihai169]

I am working to solve this. Will keep you updated.