I’ve reviewed a lot of “AI-integrated” chains over the past year. Most of them feel like they bolted an API onto an existing L1 and adjusted the homepage copy.
Vanar didn’t give me that impression.
After spending time going through the architecture, product stack, and ecosystem footprint, what stood out wasn’t speed claims or TPS numbers. It was structural intent.
Vanar is an L1 designed around real-world adoption — gaming, entertainment, brands — but more importantly, around the assumption that AI systems won’t just be users… they’ll be economic actors.
That distinction changes everything.
AI-First vs AI-Added
Most chains today treat AI like a feature layer. Something you plug in.
Vanar treats it like infrastructure.
When I looked into myNeutron, what caught my attention wasn’t the branding — it was the premise: semantic memory embedded at protocol level. Persistent, structured context that agents can reference and build on.
If AI forgets every time you close a session, it’s a demo. Not infrastructure.
Vanar is attempting to solve that at the base layer.
Then there’s Kayon, positioned around reasoning and explainability. I’m careful with the word “reasoning” because it gets abused in crypto, but the direction is clear: make interpretation and automation part of visible, verifiable on-chain logic — not hidden server-side behavior.
And with Flows, intelligence translates into rule-based automated execution.
Memory → reasoning → action.
That stack feels intentional. Not retrofitted.
What “AI-Ready” Actually Means (Beyond TPS)
After analyzing enough L1 launches, I’ve come to a simple conclusion:
TPS is not what AI systems need.
AI systems need: • Persistent memory
• Automation rails
• Verifiable logic
• Native settlement
If agents transact, pay for services, move funds, or automate workflows, they need compliant, programmable economic rails.
That’s where $VANRY becomes more than a token ticker.
VANRY powers transaction fees and economic activity across the stack. If the infrastructure is used, VANRY is used. It’s aligned with execution, not narrative cycles.
Cross-Chain Expansion Isn’t Cosmetic
One thing I specifically looked at was Vanar’s move toward cross-chain availability starting with Base.
AI infrastructure cannot live in a silo.
If agents operate across ecosystems — interacting with liquidity, games, brands, or marketplaces — then isolation limits adoption. Expanding availability expands potential usage surface for VANRY without forcing everything into a single chain bubble.
That’s a practical decision.
Real Products Matter More Than Roadmaps
A lot of AI-L1s exist only in whitepapers.
Vanar already operates products like Virtua Metaverse and the VGN games network. That matters. Experience in gaming and entertainment ecosystems isn’t theoretical — it’s operational.
If your stated mission is onboarding the next 3 billion users, you need vertical experience, not just dev grants.
And that’s something I don’t ignore when evaluating infrastructure plays.
My Honest Exp
Vanar isn’t trying to compete on “fastest chain.”
It’s positioning around readiness.
Readiness for AI agents. Readiness for automation. Readiness for real consumer-facing applications. Readiness for economic settlement that doesn’t require wallet gymnastics.
In an era where every L1 claims to be AI-powered, Vanar feels like one of the few that started from the assumption that AI is the user — not the marketing angle.
That doesn’t guarantee success.
But structurally, it makes more sense than retrofitting intelligence later.
And in infrastructure, starting assumptions usually determine who survives the next cycle.