Release v.02 (coming soon)
Focus: Enhancing Product Quality, Collaboration, and Data Interaction
This sprint is centered on strengthening the core functionality of Inflex AI Alpha, improving dataset quality, collaboration, and interactivity. It bridges the MVP foundation with production-level readiness for tokenization and multi-agent integrations.
1. Improved Data Contribution
Upload structured or unstructured files (CSV, JSON, Parquet, DOCX, PDF)
Add titles, descriptions, tags, and metadata for better dataset clarity
System prompts creators to align with schema standards (AI/LLM-ready formatting)
2. Multi-Contributor Collaboration
Introduce shared datasets with multi-user access
Role-based permissions (owner, editor, viewer)
Contributor attribution and audit log for changes
3. Staking & Governance Expansion (Testnet)
Continue support for staking testnet $IFX
Enhanced pledge/vote logic tied to dataset quality and visibility
Voting on top datasets with real-time leaderboard integration
Point system tied to future launch access and creator incentives
4. Dataset Categorization & Discovery
Introduce tagging and classification by real AI agent use cases
Examples: DeFi Trading, Risk Modeling, Research Summarization
Support agent-oriented search filters and indexed queries
5. Conversational AI Chat Enhancements
Improved natural-language interaction quality
New tools: summarization, data validation, field-level insights
Export responses, download previews, or chat transcripts
6. Smart Data Studio Improvements
Unified view of personal and collaborative datasets
Track dataset usage, voting status, share links, and metadata
Preview structure, chat history, contribution logs, and upcoming tokenization status
This sprint will significantly raise the quality bar for Inflex AI Alpha and prepare the product for tokenized access control, agent consumption, and monetizable data flows in the following releases. Let me know if you’d like this framed in GitBook format or added to the roadmap doc.
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