Social Flow is an AI-native platform reshaping the way digital content is created, scheduled, and scaled. In an age of overloaded timelines and fragmented engagement, it simplifies the entire process — giving users an intelligent system that adapts, learns, and predicts outcomes with precision.

Users launch autonomous agents that help manage posts across X, Telegram, and other major platforms through a streamlined dApp. These agents aren’t static tools; they evolve based on your behavior, tone, and audience response.

What makes Social Flow distinctive is its use of Quantum Probabilistic Forecasting (QPF) — a predictive system inspired by quantum computation. It analyzes millions of data points to forecast when a post is most likely to perform well, helping users decide what to post, when, and where — before it even happens.

Designed for creators, marketing teams, and early-stage builders, Social Flow delivers:

• Smart scheduling that reacts to trends in real time

• Post formatting that adjusts per platform automatically

• Predictive performance insights built into your daily flow

• Extendable logic via a modular plugin system

It’s not just automation — it’s predictive autonomy for the content era.

Social Flow’s revenue model is designed to be straightforward, utility-focused, and scalable. Rather than relying on hype or speculation, it is rooted in actual platform use — combining subscriptions, feature unlocks, and token-based enhancements that reflect meaningful value for creators, teams, and developers.

1. Subscription Tiers

Users can access different tiers of service based on their needs:

• Free Tier: Basic tools, limited agent functionality, and access to core platform features

• Pro Tier: Full access to QPF, multi-platform agents, advanced analytics, content layering engine

• Team Tier: Designed for agencies or small teams, includes shared dashboards and role-based access

All subscription tiers can be paid in fiat or in $SF. Holding or staking $SF may also grant access to certain tiers, discounts, or added agent power.

2. One-Time Feature Unlocks

Beyond subscriptions, users can purchase permanent access to specialized tools:

• Memory expansion for AI agents

• Additional automation rules or scheduling capacity

• Premium templates or tone/style presets

One-time upgrades can be paid using fiat or $SF. Paying in $SF often grants bonus functionality or priority access.

3. Feature Gating & Microtransactions

High-performance features are token-gated and usage-based:

• Advanced QPF frequency tuning

• Smart rescheduling and forecasting re-runs

• Experimental features (e.g., sentiment mapping, auto-threading)

These are priced per action or in bundle packs, payable via $SF or integrated microbilling tools.

4. Developer API Access

For developers using Social Flow programmatically:

• Free Tier: Limited call rate and sandbox access

• Pro Tier: Access to live agents, webhooks, QPF API, and event subscriptions

Heavy usage is billed by volume, with $SF staking used to reduce or remove billing caps.

5. Future Revenue Sharing for $SF Holders

Social Flow aims to reward long-term users and contributors by introducing a revenue-sharing system. In future updates, $SF holders may be eligible to receive:

• A share of revenue from subscriptions and microtransactions

• Priority access to experimental tools and internal betas

This is designed to align the incentives of active users, token holders, and the platform’s long-term vision.

6. Summary

The platform’s revenue model is simple: charge for what creates value, reward those who help build it, and let tokens enhance — not replace — meaningful participation. Everything revolves around real usage, not empty tokenomics.

The $SF token powers the internal economy and access layer of Social Flow. Rather than being just a governance or speculative asset, it acts as a key to unlock meaningful features, scale user workflows, and create shared incentives between users, developers, and the platform.

1. Access to Premium Agent Features

Certain capabilities — like advanced scheduling strategies, deeper analytics, smart repost loops, and QPF tuning — are available exclusively to token holders. Holding $SF grants access to these premium tools directly within the platform.

2. Agent Plugin Marketplace

The Social Flow Plugin Framework allows developers to create custom agent behaviors, automation logic, and integrations. These plugins can be offered through the marketplace and purchased or unlocked using $SF, creating a utility-driven developer economy.

3. Revenue Sharing

A portion of platform revenue generated from premium tools, subscriptions, or third-party plugin usage is allocated back to token holders or stakers, aligning platform growth with token holder value.

4. Feature Voting & Beta Access

Token holders get early access to experimental features and participate in gated feedback cycles that shape upcoming platform capabilities.

5. Future On-Chain Ties

While the core platform remains off-chain for performance, $SF may integrate on-chain credentials, wallet-bound agent IDs, or proof-of-use access layers as the platform expands into decentralized social networks like Farcaster, Lens, and Mirror.

In short, the token isn’t just an add-on — it’s the connective tissue that powers access, rewards participation, and supports contribution across the Social Flow ecosystem.

Most platforms built for social media management follow the same formula: schedule posts, track analytics, repeat. They automate the basics but leave users stuck in the same reactive cycle — pushing content, waiting for results, and adjusting too late to make a difference.

Social Flow takes a different approach. Instead of simply reacting to performance, it predicts it. Through quantum-inspired logic and real-time learning, Social Flow agents identify the best time, tone, and format to post — before you even publish. It’s not automation for the sake of saving time. It’s automation designed to create impact.

Another key difference is adaptability. While traditional tools treat every platform the same, Social Flow adapts content per channel. It rewrites captions, adjusts formats, and shifts tone based on where the post is going and who it’s meant to reach. That means smarter content with less effort — and better results without constant tweaking.

Lastly, Social Flow isn’t a closed box. It’s extendable. Developers can build agent plugins, tailor behaviors, and even monetize extensions. Users aren’t locked into pre-built features — they shape how the system works for them.

It’s not just what Social Flow does. It’s how it thinks — and who gets to shape it.

In today's digital landscape, the challenge isn’t access to tools — it’s the overload of them. The modern creator juggles a half-dozen apps just to maintain consistency across platforms. Most teams manually track analytics, scrape trend data, and guess optimal times, all while trying to maintain a distinct voice.

Social Flow steps into this fragmented environment with a unified system — one where intelligent agents act as orchestrators across content, timing, and engagement. The platform doesn’t just simplify. It recalibrates how users think about digital presence.

Who is Social Flow Built For?

Independent Creators Who need structure without complexity. Social Flow reduces the overhead of planning, posting, and optimizing so creators can focus on content.

Startup Teams & Early Brands With limited time and resources, early-stage teams can’t afford manual processes. Our system offers scale from day one.

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.

The $SF token powers the utility and access layer of the Social Flow ecosystem. It's not designed for hype, but for function — unlocking features, enhancing workflows, and aligning incentives for the most active users and contributors. Contract Address : TBA

Token Details

• Token Name: Social Flow

What if managing your social media felt less like upkeep and more like forward motion?

Social Flow was created to answer a growing disconnect: while content creation evolves quickly, the tools used to manage it often remain reactive, fragmented, and exhausting. The vision behind Social Flow is not just to simplify — but to elevate.

We imagine a future where every creator or brand has access to a dedicated digital agent that acts with foresight. An agent that doesn’t just wait for instructions but anticipates needs, adjusts output based on platform context, and continuously optimizes its own behavior.

We believe every user should have access to:

Security isn’t a layer in Social Flow — it’s part of the foundation. From agent permissions to API requests, every aspect of the platform is designed to respect user boundaries, ensure data safety, and maintain operational integrity.

🔐 Data Handling Philosophy

Social Flow doesn’t track or store more than it needs to. User content, engagement history, and platform tokens are stored with end-to-end encryption and scoped to individual workspaces.

• No cross-user memory sharing

• No third-party data reselling

• Logs stored temporarily and purged in cycles

We believe in a data model that respects the creator’s autonomy — where agents remember only what they need to work well.

🧠 Agent Permissions Framework

Agents operate in sandboxed environments. Each agent is:

• Isolated per platform

• Bound to specific content access scopes

• Prohibited from executing cross-platform data actions without explicit permission

This prevents behavior leaks or unintended interactions across user channels.

🔄 OAuth & Identity

Users authenticate via:

• Platform OAuth (X, Telegram, etc.)

• Optional wallet-based login (MetaMask / WalletConnect)

• Social Flow credentials for dApp management

User sessions are tokenized and revocable at any time. Wallets are used for token access rights, not data linking.

🔁 Reset, Export, Forget

We provide full access to agent data and memory logs via the dashboard. Users can:

• Export memory snapshots

• Reset learned behavior

• Delete agent traces per channel

Everything your agent knows — you can see, control, or erase.

Why It Matters

Creators deserve tools that don’t exploit attention or harvest data for other agendas. Social Flow was built to be performance-driven, not surveillance-driven — offering full power without unnecessary trade-offs.

We don’t just manage your digital presence. We protect it.

Social Flow isn’t just about when to post — it’s about what to post where and how. The Contextual Layering Engine (CLE) is the system responsible for adapting content across different platforms in real time. Instead of a one-size-fits-all approach, CLE reshapes messaging, tone, structure, and format depending on the target environment.

This is more than just rewriting. It’s about understanding the intent of the content, mapping it to the behavior of the platform, and reshaping it to maximize clarity, relatability, and engagement.

How It Works

When a post is generated (or input by the user), the CLE performs several steps:

1. Intent Recognition: Classifies whether the content is informative, promotional, personal, casual, etc.

2. Platform Targeting: Analyzes platform-specific norms — e.g., brevity on X, visual structure on Instagram, or professional tone on LinkedIn.

3. Style Mapping: Adjusts structure, emoji usage, line breaks, link placement, and tone accordingly.

4. Asset Tagging: Adds platform-optimized hashtags, mentions, and metadata.

Example: Single Post Across 3 Platforms

Original Input: "Excited to launch our new feature today! Built with creators in mind."

Platform-Specific Filters

CLE allows for user preferences or default profiles:

• Use informal tone on Telegram, formal tone on LinkedIn

• Suppress hashtags on Threads, boost them on Instagram

• Auto-convert long captions into threaded posts for X

Developer Extensibility

Advanced users and devs can write custom context rules using a YAML-style config system:

This allows developers to plug custom rules directly into the agent workflow — enabling industry-specific, brand-specific, or campaign-specific adaptations.

Why It Matters

Great content can underperform if it’s mismatched to the platform. CLE ensures your voice is translated appropriately — not just copied everywhere. This avoids tone mismatch, fatigue from repetition, and lost engagement due to poor fit.

CLE is how Social Flow helps your message land with relevance — every time, on every platform.

The Social Flow Developer API opens up programmatic control of agents, schedules, forecasts, and analytics. Whether you want to create a dashboard, automate workflows, or build your own tools on top of Social Flow — this is your gateway.

Overview

The API is organized into core endpoints:

• Agent Control: Create, modify, and train agents

The AI Agent is the operational core of the Social Flow platform — not just a bot, but a programmable assistant that adapts to your content style, audience behavior, and platform needs in real time.

Each agent is designed to:

• Create, rewrite, and format posts based on historical tone and platform type

• Schedule content intelligently using predictive timing

• Respond or engage based on audience interactions

What makes Social Flow agents feel intelligent isn’t just what they do — it’s how they learn.

Each AI agent is trained to observe your behavior across platforms, track the results of your posts, and develop a personal memory based on patterns it identifies. Instead of applying a fixed formula to every user, the agent builds a dynamic understanding of what works for you — and continuously updates it as your strategy evolves.

The Agent Plugin Framework lets developers extend the behavior of Social Flow agents by building lightweight, modular add-ons known as skills. These plugins empower agents to do more — whether it’s adjusting post content on the fly, reacting to analytics dips, or integrating with third-party systems.

Plugins can be published privately for internal use or listed publicly in the Social Flow Marketplace.

Plugin Anatomy

A plugin consists of:

• Trigger: When the plugin runs (e.g., onPostGenerated, onAnalyticsDrop, onReplyReceived)

• Action: What it does (e.g., appendHashtags, adjustTone, reschedule)

• Params: Optional configuration settings

Example Plugin (JSON)

This plugin will append 3 trending hashtags to any newly generated post.

Available Triggers

• onPostGenerated

• onForecastReady

• onPostPublished

Common Actions

• rewriteContent

• appendHashtags

• adjustTone

Plugin Deployment Options

1. Upload via Developer Dashboard

2. Use the CLI tool (sf deploy plugin.json)

3. Register via API for automation pipelines

Plugin Testing Sandbox

Plugins can be simulated before deployment to:

• Preview transformations

• Run trigger simulations

• Monitor agent-plugin interactions in real time

Monetization

Developers can choose to:

• Offer plugins for free (open source)

• Gate with $SF tokens (pay-to-enable)

• Add subscription logic (via connected wallet)

Example Use Case: Smart Threading Plugin

This plugin takes longer content and converts it into a thread-style post for X.

With the Plugin Framework, agents can evolve beyond the core engine — giving teams and developers a way to build unique workflows, add intelligence, and shape how automation really behaves.

To build dynamic, responsive systems on top of Social Flow, developers can subscribe to real-time events through our webhook infrastructure. This allows external services, bots, and tools to react immediately when key actions happen inside the Social Flow agent ecosystem.

Whether you want to notify a team on Slack, push updates to Notion, log performance metrics in Airtable, or trigger on-chain recordings — this is the bridge.

Supported Events

You can subscribe to any of the following:

• post_published – Fired when a post successfully goes live

• forecast_ready – Triggered when a QPF scheduling result is available

• agent_trained – Fired when agent memory is updated or reset

• analytics_updated – Fired after new engagement stats are processed

• plugin_triggered – Logs execution of a custom skill/plugin

Sample Webhook Payload

Setting Up a Webhook

1. Go to Developer > Webhooks in your dashboard

2. Register your endpoint URL

3. Select the events to subscribe to

4. Test delivery using the simulator

You can also manage webhooks via the API:

Retry & Delivery

• Webhooks use exponential backoff on failure (max 3 attempts)

• All events include signature headers for verification

• Webhook logs are available in the dashboard for 7 days

Developer Use Cases

• Discord Alerts: Notify community when a new post drops

• CRM Syncing: Pull analytics to update lead/contact profiles

• On-chain Logs: Connect to smart contracts or store in decentralized storage

• Automated Reports: Pipe weekly post summaries into Google Sheets or Notion

Social Flow’s event system helps you do more than just monitor — it gives you the tools to extend and automate, no matter where your workflow lives.

Managing multiple platforms isn't just about posting everywhere — it's about ensuring content reaches the right place, in the right format, at the right time. The Multiplatform Execution Layer (MEL) in Social Flow handles this coordination with speed, resilience, and precision.

Unlike traditional systems that treat social channels as isolated targets, MEL treats them as interconnected execution endpoints within a single timeline. That means one post — properly transformed and time-optimized — can be sent to X, Telegram, Threads, and others, with logic-aware handling of each platform’s quirks.

Core Functions

• Asynchronous Scheduling: MEL manages independent queues for each platform, ensuring timing integrity despite API rate limits or temporary downtime.

• Fallback & Retry Logic: If a platform fails to accept a post due to rate limit, downtime, or invalid auth, MEL queues a smart retry window based on previous success data.

• Post-State Monitoring: Tracks each post's lifecycle across channels — from "queued" to "sent" to "confirmed" — and feeds back into analytics.

• Throttle Balancing: Dynamically manages output volume when user accounts are at risk of throttling due to bulk publishing.

Visual Snapshot of Agent Queue

Smart Channel Matching

Each post goes through MEL's pre-execution filter:

• Is the media type supported?

• Does the text meet platform character limits?

• Are platform policies (e.g. no external links on Threads) enforced?

If any mismatch is found, MEL either auto-adjusts or flags the user for review.

Efficiency Highlights

• API caching reduces redundant calls and accelerates bulk uploads

• Shared asset pipelines minimize image reprocessing

• Live post-status webhooks allow for real-time dashboards and user alerts

Why MEL Exists

Without a robust execution layer, agents would either fail silently or post inconsistently. MEL ensures consistency, traceability, and recovery across all channels. It’s the part of Social Flow that guarantees follow-through — turning strategic scheduling and contextual planning into actual, delivered content across the ecosystem.

Social Flow’s flagship predictive engine — Quantum Probabilistic Forecasting (QPF) — is what defines the platform’s edge. Drawing inspiration from quantum computing principles, QPF allows agents to analyze a vast field of possibilities simultaneously, identifying the optimal decision path without relying on rigid schedules or static rules. This mirrors how quantum systems evaluate all states at once before collapsing into the most probable one — a technique that enables fluid, intelligent social media management.

In the context of social media, QPF turns every piece of content into a dynamic decision-making object. Instead of asking "what worked last time," it evaluates "what’s most likely to work now" — based on live data, platform behavior, external trends, and user-specific engagement history. The result is a system that not only reacts to signals but anticipates them.

Core QPF Logic

Traditional systems follow deterministic rules. QPF is probabilistic. It generates a matrix of potential post times and outcomes, then scores each based on likelihood of success. It doesn’t just evaluate posting time — it considers post type, tone, media format, trending topics, recent performance, audience scroll windows, and even platform sentiment velocity.

QPF Workflow Overview:

Extended Scheduler Simulation (Python-like)

Expanded QPF Metrics Table

Predictive Use Cases

1. Forecasted Scheduling QPF doesn’t just suggest a slot — it gives a ranked probability distribution of slots.

2. Real-Time Auto-Rescheduling If a post underperforms or trends change mid-day, QPF can be re-run to auto-shift queued posts.

3. Variant Selection QPF can evaluate which version of a post (A/B/C) is likely to perform better — not just based on content but also time-context alignment.

System Learning

QPF improves as more data accumulates. It doesn’t just learn globally — it adapts per user. This means your agent gets better over time, adjusting probability weights based on what your audience responds to.

Features include:

• Personalized engagement curves

• Platform-specific timing bias

• Cumulative memory of niche trends

• Rolling feedback loops across 7-day and 30-day windows

Why QPF Is Foundational

Posting without QPF is like sailing without wind charts. You’ll get somewhere, but not efficiently — and not predictably. In an increasingly competitive landscape, when and how you show up matters as much as what you post.

QPF isn’t just a scheduling tool. It’s a statistical edge. A silent analyst working in the background, maximizing every shot you take in a noisy digital arena.

Whether you're a creator, a growth team, or a platform builder — this is the logic layer you didn’t know you needed, until now.