Roadmap

🗺️ Post Weaver Roadmap

Welcome to the Post Weaver development roadmap! This document outlines our planned features, enhancements, and strategic directions for the upcoming quarters. Our goal is to continuously evolve Post Weaver into the most intuitive and powerful AI-driven tweet generation tool available.

(Disclaimer: This roadmap is forward-looking and priorities may shift based on user feedback, technological advancements, and market dynamics. Dates are estimates.)

🎯 Q2 2025 (Current Quarter: April - June)

Focus: Core enhancements, usability improvements, and backend stabilization.
- Granular Tone & Style Control: Introduce more nuanced options for controlling the generated tweet's voice (e.g., humorous, professional, empathetic, urgent).
- UI/UX Iteration: Refine the user interface based on initial feedback, focusing on workflow optimization and clarity.
- Enhanced Prompt Templating: Implement more sophisticated Langchain PromptTemplate strategies for better handling of complex user inputs.
- Improved Error Handling & Logging: Implement robust error catching and structured logging on the backend (API routes) for easier debugging and monitoring.
- Basic Analytics Integration: Integrate lightweight analytics to track generation frequency, common topics, and potential error rates (anonymized).

🎯 Q3 2025 (July - September)

Focus: Expanding generation capabilities and integrations.
- Twitter Thread Generation: Introduce functionality to generate multi-tweet threads based on a single topic or outline.
- URL Shortener Integration: Allow users to connect services like Bitly for automatic link shortening within generated tweets.
- Prompt A/B Testing Framework: Develop an internal framework (leveraging Langchain evaluation tools) to test the effectiveness of different prompt variations for key use cases.
- Multi-LLM Provider Support: Abstract the model interaction layer further to allow users to optionally configure and use different LLM providers (e.g., Anthropic Claude, Google Gemini) via API keys.
- Content Calendar View (Basic): Introduce a simple calendar interface to visualize scheduled or previously generated tweets.

🎯 Q4 2025 (October - December)

Focus: Advanced AI features and collaboration.
- Retrieval-Augmented Generation (RAG): Explore RAG techniques using Langchain to allow tweet generation based on uploaded documents or recent web search results for topical relevance.
- Basic Image Suggestion: Integrate with stock photo APIs or generative image models (via API) to suggest relevant visuals for generated tweets.
- Team Collaboration Features (Phase 1): Introduce basic multi-user support, allowing shared access to generation history and saved prompts within a team workspace.
- Advanced Output Formatting: Provide options for generating tweets with formatted lists, polls, or other Twitter-specific features.

🚀 Future Exploration (2026 and Beyond)

Focus: Long-term vision, deeper AI integration, and platform maturity.
- Advanced Analytics & Performance Insights: Develop a dashboard showing engagement potential or estimated performance based on historical data (requires significant data modeling).
- Multi-modal Input: Explore generating tweets based on uploaded images or video concepts.
- Custom Model Fine-tuning: Investigate pathways for users (potentially enterprise tier) to fine-tune smaller models on their own content for highly specific brand voices.
- Workflow Automation: Integrate with platforms like Zapier or Make for automated content scheduling and cross-posting.
- Proactive Content Suggestions: Leverage AI to analyze trends or user history to proactively suggest relevant tweet topics.

🌱 Ongoing Efforts

Performance Optimization: Continuously monitor and improve frontend load times and backend API response latency.
Dependency Management: Regularly update Next.js, Langchain, and other core dependencies.
Security Audits: Periodically review security best practices and address potential vulnerabilities.
Documentation Enhancement: Keep this GitBook updated with new features and development practices.

We are excited about the future of Post Weaver and welcome community feedback to help shape its direction!

PreviousTechnology

Last updated 11 days ago

🗺️ Post Weaver Roadmap

(Disclaimer: This roadmap is forward-looking and priorities may shift based on user feedback, technological advancements, and market dynamics. Dates are estimates.)

🎯 Q2 2025 (Current Quarter: April - June)

Focus: Core enhancements, usability improvements, and backend stabilization.

Granular Tone & Style Control: Introduce more nuanced options for controlling the generated tweet's voice (e.g., humorous, professional, empathetic, urgent).
UI/UX Iteration: Refine the user interface based on initial feedback, focusing on workflow optimization and clarity.
Enhanced Prompt Templating: Implement more sophisticated Langchain PromptTemplate strategies for better handling of complex user inputs.
Improved Error Handling & Logging: Implement robust error catching and structured logging on the backend (API routes) for easier debugging and monitoring.
Basic Analytics Integration: Integrate lightweight analytics to track generation frequency, common topics, and potential error rates (anonymized).

🎯 Q3 2025 (July - September)

Focus: Expanding generation capabilities and integrations.

Twitter Thread Generation: Introduce functionality to generate multi-tweet threads based on a single topic or outline.
URL Shortener Integration: Allow users to connect services like Bitly for automatic link shortening within generated tweets.
Prompt A/B Testing Framework: Develop an internal framework (leveraging Langchain evaluation tools) to test the effectiveness of different prompt variations for key use cases.
Multi-LLM Provider Support: Abstract the model interaction layer further to allow users to optionally configure and use different LLM providers (e.g., Anthropic Claude, Google Gemini) via API keys.
Content Calendar View (Basic): Introduce a simple calendar interface to visualize scheduled or previously generated tweets.

🎯 Q4 2025 (October - December)

Focus: Advanced AI features and collaboration.

Retrieval-Augmented Generation (RAG): Explore RAG techniques using Langchain to allow tweet generation based on uploaded documents or recent web search results for topical relevance.
Basic Image Suggestion: Integrate with stock photo APIs or generative image models (via API) to suggest relevant visuals for generated tweets.
Team Collaboration Features (Phase 1): Introduce basic multi-user support, allowing shared access to generation history and saved prompts within a team workspace.
Advanced Output Formatting: Provide options for generating tweets with formatted lists, polls, or other Twitter-specific features.

🚀 Future Exploration (2026 and Beyond)

Focus: Long-term vision, deeper AI integration, and platform maturity.

Advanced Analytics & Performance Insights: Develop a dashboard showing engagement potential or estimated performance based on historical data (requires significant data modeling).
Multi-modal Input: Explore generating tweets based on uploaded images or video concepts.
Custom Model Fine-tuning: Investigate pathways for users (potentially enterprise tier) to fine-tune smaller models on their own content for highly specific brand voices.
Workflow Automation: Integrate with platforms like Zapier or Make for automated content scheduling and cross-posting.
Proactive Content Suggestions: Leverage AI to analyze trends or user history to proactively suggest relevant tweet topics.

🌱 Ongoing Efforts

Performance Optimization: Continuously monitor and improve frontend load times and backend API response latency.

Dependency Management: Regularly update Next.js, Langchain, and other core dependencies.

Security Audits: Periodically review security best practices and address potential vulnerabilities.

Documentation Enhancement: Keep this GitBook updated with new features and development practices.

We are excited about the future of Post Weaver and welcome community feedback to help shape its direction!