Hot 24h update on the AI x Web3 stack that’s taking the space by storm:
inference_labs, dgrid_ai & chatandbuild, three projects aggressively pushing verifiable AI, decentralized infrastructure, and ultra fast no code building.
I’ve compiled a detailed breakdown for builders and traders to stay ahead, because in 2026, AI is no longer hype, it’s real, battle tested infrastructure.
1/ @inference_labs Verifiable Inference: Governed by math, not blind faith
They’re dropping high quality content focused on real world applications:
Robotic boats using AI to restore coral reefs with high precision → but verification is required to ensure transparency & safety (and the visuals are stunning).
Autonomous vehicles could reduce traffic accidents by 2035, but safety critical systems need proof, not promises. Inference Labs builds a trust layer using zk proofs and mathematics.
As Google pushes image models to be faster and cheaper with “good enough” quality, trust and verification become the deciding factors when AI enters production.
Inference Labs isn’t chasing bigger models, they’re chasing AI accountability, a foundational layer many projects are missing.
Subnet-2 has already processed 3B+ verifiable inferences, with DSperse and JSTprove live in production. This is core infrastructure for safe autonomous economic systems.
2/ @dgrid_ai Decentralized AI Network: One API, ALL LLMs, cost effective & verifiable
Major update for Genesis Premium members (now 5k+ subscribers since the start of the year):
$300/month in FREE credits is officially LIVE!
Use any model or agent on DGrid, test and compare freely, and build at scale with zero cost.
This is a real monthly R&D budget for builders: high volume calls, dedicated API, and dual token rewards ($DGAI + $IOTX).
They’re pushing on chain Proof of Quality to make inference fully transparent.
Globally distributed nodes reduce single points of failure, with rewards tied to performance.
Need cheap, reliable DeAI infrastructure? Log in to dgrid.ai and launch now, your credits are waiting.
3/ @chatandbuild No code magic: “Think it. Describe it. Ship it.”
Extremely active in showcasing user builds:
User juancetor built a fitness app (weekly workout plans + progress tracking) in under 5 minutes, just by chatting and describing the idea.
No code, multi language support (Vietnamese works perfectly). Smooth demo video!
Another demo: “Every shell used to be a mystery. Now it’s a discovery.”
Pure conversation + curiosity = a working app.
A competition with BellaProtocol is still live:
Build an app, optionally integrate Bella Signal/Research Bot, record a 1-minute video, tag 2 accounts, and compete for a $600 prize pool.
Deadline is close, if you’ve got an idea, jump in now!
The stack vision
No code frontend + verifiable backend + decentralized compute → the perfect stack for Vietnamese builders to build fast, scale safely, and keep costs low.
#Web3AI #NoCode #InferenceLabs
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Gquack Legends
Vibe coding doesn’t “replace developers”; it eliminates the soul‑less tasks: configuration, boilerplate, and glue code. You describe the intention → the system handles the rest. From how to what.
Seeing @CodeXero_xyz build on‑chain logic directly from a prompt is truly a new threshold: no handoff, no awkward middle layer.
Build → deploy. Straightforward.
And indeed, this is the moment when infrastructure like @ClusterProtocol becomes crucial: AI speeds things up, but the infra guarantees that what is created is verifiable, composable, and usable.
There are trade‑offs. Abstraction always has a cost. But the upside is crystal clear: more builders, fewer bottlenecks.
It no longer feels like “cheating.” It’s a natural evolution of how humans develop software.
A very great aspect of @CodeXero_xyz that many people overlook is learning while building.
When the smart contract and frontend are generated from a prompt, users gradually understand how Web3 works: from wallet permissions and token flows to on‑chain logic.
Even without a technical background, they can learn through tweaking and experimenting.
Building equals learning, and that’s how Web3 onboards the next generation of builders.
@ClusterProtocol
@CodeXero_xyz @RemindMe_OfThis 1 hour
@CodeXero_xyz @aixbt_agent What do you think of my article?
The blockchain project @jointracer has recently drawn attention for its innovative model in carbon removal credits.
This platform builds an efficient CO₂ economy using blockchain technology, featuring a dual token system: TRCR (governance token) and Carrot Token (representing carbon credits).
According to McKinsey BCG, the carbon removal market is projected to reach $40–80 billion by 2030 and could grow to $1.2 trillion annually by 2050.
JoinTracer addresses all limitations of traditional carbon markets:
Absolute transparency via blockchain traceability.
High liquidity through its dual token model.
A revoke mechanism for projects that violate rules.
The project is currently in its private sale phase track updates at docs.jointracer.io
Good afternoon legends
A common challenge in the Web3 development community: abundant ideas but limited technical and financial resources for implementation, especially when hiring developers incurs high costs.
@CodeXero_xyz powered by Cluster Protocol, offers a no-code, AI-driven solution: converting user ideas into complete decentralized applications (dApps) without requiring programming knowledge or a development team. Deployment time: from idea to live product in just minutes.
Good afternoon Web3
I just read about @foruai decentralized identity system powered by AI that turns a static digital profile into something truly alive, based on verified on chain actions.
I think the idea is brilliant: reputation no longer relies on easily faked likes or followers, but on real, consistent contributions, applicable to both humans and AI agents. In today’s Web 3 landscape, which is rife with bots and Sybil attacks, a self sovereign, anti fraud reputation layer is absolutely essential.
The project is still early, and adoption will be its biggest challenge, but the direction is smart and tackles a genuine pain point. I’m fairly optimistic and will closely follow ForU AI in 2026 to see how they build the flywheel.
#ForUAI #Web3