We already showed you the extension in action. Now follow the guide, connect your wallet, and actually use the AI score on a live token.
Once you see the difference between AI and heuristic in real time, you're not going back.
/1
Trading terminals are fighting a war over milliseconds. "We execute your trade in 0.1 seconds!"
Great. Now you can buy a rug pull in 0.1 seconds instead of 2 seconds.
Execution speed doesn't make you a better trader; it just makes you lose money faster.
We already showed you the extension in action. Now follow the guide, connect your wallet, and actually use the AI score on a live token.
Once you see the difference between AI and heuristic in real time, you're not going back.
/3
This is why the KOVA Extension lives directly inside your trading terminal.
Before you use that 0.1-second execution speed, our AI gives you the survival probability curve right next to the token name.
Aim first. Shoot second.
/2
Speed is entirely useless without analytical accuracy.
What good is a sniper rifle if you are aiming at a landmine?
The real edge isn't clicking the button first. The real edge is knowing *whether* you should click it at all.
AI score β ML score. This is not a marketing claim. This is a live server diagnostic.
Our AI engine is a GRU+Attention neural network that retrains on real on-chain data every 30 minutes. The ML engine is a static classifier used as fallback. They score differently because they ARE different.
Check it yourself:
Real users are growing. Where is the marketing coming from?
Active Extensions: 34
Scans: 847
Platform breakdown:
https://t.co/Nt10CTAyny 44.3%
https://t.co/dW598k6rcw 38.1%
https://t.co/8PUpO2qqp5 2.7%
other 14.9%
Wallet connected: 14
AI engine hits: 312
3/
How Kova AI actually works:
- Architecture: 2-layer GRU (hidden=64) + Multi-Head Attention (4 heads)
- 22 on-chain features per snapshot (holder distribution, volume, smart money, LP status, etc.)
- Sliding window over token lifecycle sequences β the model sees how metrics CHANGE over time, not just a single snapshot
- Retrains every 30 min on live data from tracked tokens
- Fallback chain: AI (torch) β ML (sklearn) β Heuristic
- Border color on the badge tells you which engine scored it: teal = AI, orange = fallback
The AI doesn't just classify. It watches the sequence.
AI score β ML score. This is not a marketing claim. This is a live server diagnostic.
Our AI engine is a GRU+Attention neural network that retrains on real on-chain data every 30 minutes. The ML engine is a static classifier used as fallback. They score differently because they ARE different.
Check it yourself:
2/
Verify it yourself. These are public endpoints β open them in your browser right now:
AI model status: https://t.co/urgEHPlX5I
AI vs ML engine comparison: https://t.co/B4FonhES8g
This is the same data you just watched in the video. Live, not cached.
/3
KOVA doesn't care who is buying. It cares *how* the token's metrics are behaving over time.
Are fresh wallets dropping while volume increases? Is the top 10 concentration artificially managed?
Stop following ghosts. Start reading the neural network's probability curve.
/1
Everyone is obsessed with copying "Smart Money" wallets.
But here is the reality: by the time a public dashboard tags a wallet as "Smart," they are already preparing to use you as their exit liquidity.
You aren't front-running them; you are catching their bags.
/2
Smart money doesn't broadcast their entries. They use multiple layers, fresh wallets, and OTC deals.
If you are tracking a known wallet, you are looking at the past.
You don't need to track specific wallets. You need to track the structural trajectory of the token itself.