Your AI-powered command center for managing multiple creators without losing your mind
If you're managing 5-10 creators solo, you know the struggle. You're drowning in DMs, missing trends, scrambling during PR crises, and spending 15-20 hours a week on stuff that feels like it should be automated.
Nexus Solo is your AI team. Think of it as hiring 5 specialists who never sleep, never miss a trend, and actually understand each creator's unique voice.
You're stuck between:
- Basic scheduling tools that can't think
- Enterprise platforms that cost $500-2000/month (and assume you have a team)
- Doing everything manually and burning out
Meanwhile, you're:
- Missing viral trends because you found them too late
- Discovering PR fires hours after they started
- Spending weekends creating content instead of strategizing
- Losing brand deals because you don't have time for proper outreach
Instead of you doing everything, you get 5 AI agents that actually work together:
🎨 Content Agent - Your ghostwriter who actually gets it
- Studies each creator's last 50 posts to learn their voice
- Writes content that sounds exactly like them (tone, humor, emoji style, everything)
- Adapts for each platform (Instagram captions ≠ YouTube descriptions)
- Works in 10 Indian languages without losing the vibe
🔥 Trend Agent - Your trend scout who never sleeps
- Catches trends 6-12 hours before they peak (when you can still ride the wave)
- Tells you which creator should jump on which trend
- Generates ready-to-post content in under 2 minutes
- Actually gets it right 70% of the time (way better than guessing)
🚨 Crisis Agent - Your 24/7 PR guardian
- Monitors every comment, mention, and reply in real-time
- Detects brewing PR disasters within 8 minutes
- Suggests 3-5 ways to respond with predicted outcomes
- Learns from every crisis to get better
💼 Deal Agent - Your negotiation assistant
- Researches fair rates so you don't leave money on the table
- Auto-generates professional media kits with live stats
- Drafts outreach emails that match the brand's vibe
- Tracks what works to improve your conversion rate
📊 Analytics Agent - Your fortune teller (but with data)
- Predicts which content will pop before you post it
- Finds the best times to post for each creator
- Forecasts engagement for the next week
- Continuously learns and optimizes
Each creator has a unique voice. The system learns it by analyzing their posts - how they joke, their emoji habits, sentence length, everything. Then it generates content that's indistinguishable from what they'd write themselves.
Works across Instagram, YouTube, TikTok, X, LinkedIn, Facebook, plus Indian platforms like ShareChat, Moj, Josh, and Chingari.
Stop guessing. The system predicts performance before you hit publish, suggests optimal posting times, and gets 28% better at predictions than random chance. It's like having a crystal ball, but one that actually works.
By the time you see a trend on your feed, it's often too late. The system catches them 6-12 hours early - when there's still time to create content and ride the wave. Generates platform-specific posts in 2 minutes flat.
Sentiment monitoring runs 24/7. When something's brewing, you know within 8 minutes - not 8 hours. Get multiple response strategies with simulated outcomes so you can choose the best move.
Research comparable rates, generate professional media kits automatically, and draft outreach emails that don't sound like templates. The system tracks what works and optimizes your approach over time.
Full support for Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Odia. Integrates with ShareChat, Moj, Josh, and Chingari. Preserves cultural context when translating - no awkward literal translations.
Global: Instagram • YouTube • TikTok • X (Twitter) • LinkedIn • Facebook
Bharat: ShareChat • Moj • Josh • Chingari
The 5 agents work together through a message bus - when one agent does something, others can react. For example, when the Trend Agent spots a viral opportunity, it tells the Content Agent, which immediately starts generating posts.
Built with: LangGraph (for agent orchestration), PostgreSQL (data), Redis (speed), GPT-4/Claude (intelligence), and a bunch of other tools that make it all work smoothly.
The whole system is designed around 87 "correctness properties" - formal rules about how things should behave. We test these with both traditional unit tests and property-based testing (throwing random inputs at it to find edge cases).
| What | Goal | What This Means for You |
|---|---|---|
| Time Saved | 85% less | 15-20 hours/week → 2-3 hours/week |
| Crisis Detection | Under 8 minutes | Catch problems before they explode |
| Deal Conversion | 40% better | More partnerships, better rates |
| Prediction Accuracy | 28% better | Less wasted effort, more hits |
| Trend Capture | 70%+ right | Actually catch trends while they matter |
Heads up: We're still building this. The design is solid, the architecture is mapped out, and we're working through implementation. This section will get real installation instructions once we're ready for you to actually use it.
When it's ready, you'll need:
- Node.js 18+ or Python 3.10+
- PostgreSQL and Redis
- API keys for OpenAI or Anthropic
But for now, feel free to explore the design docs if you're curious about how it all works under the hood.
- Requirements Document - Detailed functional requirements
- Design Document - System architecture and technical design
- API Documentation - Coming soon
- User Guide - Coming soon
.
├── .kiro/
│ ├── specs/
│ │ └── nexus-solo/
│ │ ├── requirements.md # Functional requirements
│ │ ├── design.md # Technical design
│ │ └── tasks.md # Implementation tasks
│ └── steering/ # Development guidelines
├── src/ # Source code (coming soon)
├── tests/ # Test suites (coming soon)
└── docs/ # Additional documentation
We're not just coding and hoping it works. Here's the approach:
- Write down what it should do - Detailed requirements with real user stories
- Design the system - Architecture, data models, how agents talk to each other
- Define correctness properties - 87 rules about how the system must behave
- Test everything twice - Unit tests for specific cases, property-based tests for universal rules
- Build iteratively - One feature at a time, validate as we go
The property-based testing is key - instead of just testing "does this specific input work?", we test "does this work for ANY valid input?" by throwing 100+ random scenarios at each feature.
Target: 80% code coverage, zero compromises on the 87 correctness properties.
Phase 1: Foundation (We are here)
- Multi-agent system that actually works
- Creator DNA that learns each voice
- Content generation across platforms
- Basic analytics and predictions
- Platform integrations
Phase 2: Intelligence
- Trend detection before trends peak
- Crisis management with outcome simulation
- Deal intelligence and negotiation help
- Predictive analytics that improve over time
- Smart optimization algorithms
Phase 3: Advanced Stuff
- AI video generation
- Voice cloning for podcasts/audio
- Automated A/B testing
- Competitor tracking
- Revenue optimization recommendations