Lift is an agentic AI system built with OpenClaw that detects viral conversations related to the UN Sustainable Development Goals (SDGs) and converts them into actionable campaigns distributed across messaging platforms.
Lift continuously monitors social signals, analyzes their relevance to global challenges, generates campaign content using open-source AI models through the FLock API, and delivers campaign proposals via a Telegram bot interface.
The system acts as a marketing intelligence agent for social impact, helping NGOs, creators, and communities amplify initiatives aligned with sustainable development.
The internet constantly produces viral conversations around social issues such as climate change, education access, economic development, and health awareness. However, organizations working on these issues often lack the tools to capitalize on these moments.
Lift bridges this gap by transforming trending conversations into structured campaigns that can be deployed immediately.
Instead of manually searching for opportunities, Lift autonomously:
- Detects viral discussions
- Classifies them according to SDGs
- Generates campaign strategies
- Distributes campaign content
This allows impact-driven organizations to react to global conversations in real time.
Lift continuously scans social conversations to detect viral topics aligned with global development goals.
Detected trends are categorized into relevant Sustainable Development Goals.
Campaign messaging is automatically generated using open-source AI models through the FLock API.
Lift interacts with users through messaging platforms such as Telegram.
Campaign proposals are sent to Telegram for approval before distribution.
Lift evaluates engagement metrics and calculates campaign performance scores.
Lift is built using the following technologies.
OpenClaw orchestrates Lift’s autonomous agents and modular skills.
Lift uses the FLock API for open-source AI model inference, enabling transparent and decentralized AI generation for campaign content.
Users interact with Lift through a Telegram bot that serves as the control interface.
Lift runs on AWS EC2 for scalable deployment.
All AI generation relies exclusively on open-source models.
Lift follows a modular agent orchestration architecture where a central orchestrator manages specialized agents.
The architecture consists of:
- Trend detection
- Campaign generation
- Distribution orchestration
- Impact analytics
All modules are coordinated by the main Lift agent.
Based on the configuration and documentation files in the workspace (AGENTS.md, SOUL.md, HEARTBEAT.md, openclaw.json), the CreatorLift system operates using a structured orchestration model.
Lift follows a strict division of responsibilities.
Lift acts as the central orchestrator (the brain) while multiple specialized agents act as execution workers (the hands).
- Lift performs decision making, planning, and coordination.
- Sub-agents perform isolated tasks and report results back to Lift.
Sub-agents operate in separate sessions and write outputs to files.
The system limits itself to a maximum of four concurrent sub-agents to maintain stability and resource efficiency.
Role
Evaluates social signals, aligns them with UN Sustainable Development Goals, and manages the full lifecycle of campaigns.
Operation
Lift does not run continuously performing every task. Instead it runs in periodic cycles known as the Heartbeat loop.
During each cycle Lift:
- Reads reports from sub-agents
- Checks queues
- Triggers new tasks
- Communicates with users through Telegram
Lift is the only component allowed to make decisions.
Role
Creates professional creator profiles.
Trigger
Activated when a new creator registers in queue/registrations.json.
Frequency
Checked every 30 minutes.
Actions
- Browses public creator accounts
- Collects engagement metrics
- Determines content niche
- Generates structured
profile.json - Produces a professional
media_kit.pdf
Supported platforms include Instagram, TikTok, and YouTube.
Role
Identifies brand partnership opportunities for creators.
Trigger
Executed every 6 hours for active creators.
Actions
- Searches for brands aligned with the creator’s niche
- Uses Brave Search and web intelligence
- Evaluates brands based on alignment with SDGs
- Produces ranked opportunities
Output file
brand_opportunities.jsonScout avoids contacting brands listed in the cool-down list.
Role
Drafts personalized outreach emails.
Trigger
Activated when new brand opportunities are discovered.
Actions
- Reads creator profile
- Reads brand data
- Visits brand websites
- Finds a relevant company detail
- Writes a 180-250 word pitch
Important rule
Writer never sends emails.
All drafts are stored in:
outreach_queue.jsonLift later processes and sends them.
Role
Manages brand communication and deal negotiation.
Trigger
Runs every 2 hours when Lift checks email replies.
Actions
-
Reads brand responses
-
Categorizes replies
- Interested
- Offer
- Rejected
-
Drafts counteroffers using AI
-
Uses creator pricing constraints
Important feature
Before confirming a deal, DealMaker can contact the creator using ElevenLabs voice synthesis to obtain final approval.
Role
Measures campaign performance.
Trigger
Runs every 48 hours for active campaigns.
Actions
- Reads public campaign URLs
- Collects engagement data
- Generates campaign reports
- Updates creator media kits
- Alerts operator through Telegram
Reports are generated as professional PDF documents.
Lift runs according to a structured execution rhythm.
Scan for new creator registrations.
Check inbox for brand replies.
Process email outreach queue.
Maximum emails per run: 15
Maximum per day: 50
Search for new brand partnership opportunities.
Generate campaign performance reports.
Send a morning briefing to the operator via Telegram.
Run the Self-Improving Check to learn from patterns and mistakes.
Lift uses two types of memory.
Location:
workspace-main/MEMORY.md
memory/YYYY-MM-DD.md
Maintained exclusively by Lift.
Stores:
- Active creator lists
- Total campaign revenue
- Brand cool-down list
- Market rate benchmarks
Location:
~/self-improving/
Stores operational improvements.
Examples:
- Tone corrections
- Campaign style preferences
- Operational mistakes
Patterns used successfully three times become HOT rules that the system follows automatically.
Lift uses a Telegram bot as its main interface.
Users can control the system through commands.
/startcampaign
/campaign climate
/impactreport
Lift integrates the FLock API to perform AI inference using open-source models.
The FLock API is used for:
- Campaign generation
- Trend summarization
- Email drafting
- Negotiation messaging
Example generated outputs:
- Tweet threads
- Telegram announcements
- WhatsApp broadcasts
- Outreach emails
All AI inference runs through FLock’s decentralized infrastructure.
Lift evaluates campaign success using the following formula:
Impact Score = Reach × Engagement × Issue Relevance
This metric allows Lift to continuously improve campaign strategies.
Lift can be deployed on cloud infrastructure.
Recommended environment:
AWS EC2
Deployment steps:
- Launch EC2 instance
- Install Docker and dependencies
- Configure OpenClaw agent
- Set environment variables
- Connect Telegram webhook
- Start agent services
Lift operates according to ethical AI principles.
The system ensures:
- Transparency through open-source models
- Human oversight in campaign approval
- Avoidance of misinformation
- Alignment with legitimate social causes
Planned improvements include:
- Multilingual campaign generation
- Real-time crisis detection
- Creator-NGO collaboration networks
- Automated campaign optimization
- Expanded social platform integrations
Lift demonstrates how agentic AI systems can transform social conversations into coordinated campaigns that accelerate progress toward global development goals.
By combining:
- OpenClaw autonomous agents
- FLock open-source AI inference
- Messaging platform integrations
Lift creates a scalable infrastructure for impact-driven marketing automation.
The long-term vision is to build a global AI network that helps communities respond to social challenges faster and more effectively.