Roadmap
Social Flow’s roadmap is focused on gradual, sustainable delivery — where each stage builds core capability before moving to scale. The goal is clear: a fully operational AI social infrastructure powered by predictive computation and streamlined user control.
✈️ Phase 1: Launch Layer
Laying the foundation with protocol deployment and early tools.
Launch of $SF Token Deployment of the Social Flow token on Ethereum with Uniswap V2 liquidity. $SF becomes the transactional and access-layer utility across the ecosystem.
DApp Access Layer Initial deployment of the Telegram and X agent bots, alongside early access to our AI content scheduling system.
Quantum-Layered Foundation Integration of Quantum Probabilistic Forecasting (QPF) to allow prediction-based scheduling and audience analysis. Introduces the first form of quantum-layered behavioral analysis in social media.
Web Portal & Gitbook Docs Main landing page, GitBook docs, and core infrastructure are made public.
Adoption Strategy Begins Initial push via X campaigns, early community tasks, referral bounties, and soft KOL outreach.
🎯 Phase 2: Feature Layer
Core feature expansion and user interface evolution.
Web DApp Rollout Full browser interface for agent control, campaign setup, analytics review, and post tracking.
Plugin Framework Alpha Developer environment to allow feature extensions. Agents become modular with plugins for sentiment analysis, content translation, and more.
Smart Scheduling & Performance Engine Integrated support for goal-based agent routing, smart auto-reposting, and QPF frequency control.
Feature Unlock Gating System Microtransaction-based access to high-performance tools like threading AI, repost suggestion layer, and memory expanders.
Stake-to-Access Beta $SF-based feature gating is tested. Holders unlock discounted tiers and access priority for agent upgrades.
Community Expansion Campaigns Partnerships, Twitter Spaces, feature demo videos, content challenges to drive platform trials.
📈 Phase 3: Builder Layer
Developer systems and integration rails are introduced.
Developer API (Public Launch) Open REST API and webhook support go live. Users can deploy external triggers or sync agents with third-party workflows.
CLI Console and Webhook Terminal Power-user tools to simulate, test, and run agents via voice or typed commands. Real-time execution logs and error flags included.
Agent Intelligence Memory Layer Long-term behavioral learning is introduced. Agents begin to store preferences, adapt to tone, and reapply lessons across campaigns.
Agent Plugin Framework Structured dev format for third-party plugins. Includes permission control, sandbox testing, and memory-safe interfaces.
QPF Upgrade v2 Improvements in forecasting accuracy, peak-time optimization, and cross-platform context syncing.
Hackathons & Dev Grants Kick-off of builder bounties, hackathons, and grant proposals for innovative plugin ideas.
🌐 Phase 4: Scale Layer
Wider platform rollout and token utility growth.
Cross-Platform Support Expansion to platforms beyond X and Telegram — including LinkedIn, YouTube, Instagram, Threads, and others.
Revenue Sharing Protocol Initial implementation of the revenue-sharing model for $SF holders based on platform activity, usage tiers, and token thresholds.
Modular Deployment Environment Ability to export, share, and install community-built agent bundles. Optional verification for featured plugins.
Decentralized Identity & Key Syncing DID support for agent identity and campaign signing. Agents will carry verified keys tied to a user's wallet across devices.
Agent Discovery Hub Public index of pre-built agent templates, curated by type (e.g., meme agent, promotion bot, long-form writer).
Governance Lite Framework Stake-based feedback and polling for platform feature rollout, funding allocation, and dev bounties.
Awareness Push Press outreach, post-milestone announcements, showcase of creator success stories, multilingual onboarding, and referral boosts.
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