Imagine an AI artwork earns $100. How would you split it? 👀 Creator · data contributors · model trainers · AI agents LART's five-agent pipeline records provenance and royalty splits on-chain. Drop your split below 👇 #LART #AICreators

What if the final image isn’t the real asset? The prompts, datasets, checkpoints, edits, and contributions behind it matter too. LART treats creation as a traceable graph, not a black box. Would you value an AI work differently if you could verify how it was made? 👀 #LART #AI

LART isn’t trying to be another model host, NFT marketplace, or creative app. It sits underneath them. Models can change. Marketplaces can change. Creator tools can change. The protocol stays. Replace the surface. Keep the pipeline. #LART #AI #Web3

What if AI creation came with proof? ✨ LART connects 5 specialized agents from sourcing to minting, while recording provenance, ownership, and royalty splits on-chain. Not just AI creation — creation you can trace. What matters most: provenance, ownership, or royalties? 👇

One item without a verifiable license, and the whole manifest fails, not just that item. Data Sourcing checks every asset against a registry or a signed creator grant before training starts, and it's the only agent with write access to the pin set. Mixed bundles fail closed.

Imagine writing one prompt and getting an article, image, video, and soundtrack that trace back to the same verified source. AI Studio is public alpha now. Articles, images, video, music, receipts and provenance baked in from the start. Picture what you'd generate first. 🔍

GPU fine-tuning costs dropped below ten cents an hour. Wallet login shrank to one tap. Settlement runs sub-cent with two-second finality. Every piece matured at once, right as regulation is about to make provenance mandatory. Would this have worked eighteen months ago? 😉

Five agents, five legs: source, train, generate, review, mint. But you don't have to run all five. Already have a model? Start at leg 3. Just want dataset provenance signed? Stop after leg 1. Which leg would you actually skip?

No receipt, no feature. When authors and traders conflict, LART sides with authors, not the market. Six principles like this override convenience and performance whenever they conflict. That's a governance vote away from ever changing. 🔍

By 2026, the EU AI Act and the US Executive Order both require provenance disclosure for commercial AI work. Platforms without a verifiable graph won't be allowed to sell in major markets, full stop. This isn't a feature LART added. It's the entry fee everyone will need soon.

Compute costs dropped 40x. Wallet login shrank to one tap. Settlement runs sub-cent, two-second finality. Every piece matured at once, and regulation is about to make provenance mandatory. The infrastructure didn't wait for LART. LART waited for it.

Which dataset trained the model. Who reviewed it. How revenue splits between creator, trainer, and agent. LART records it all as one signed decision graph, not a single output from nowhere. Could your last AI creation answer any of that? 🔍

An 893k-liked SEO article with full H1 to H6 structure. A magazine cover shot with 35mm film grain. Both made by the swarm, both voted on by the community, both sitting in the same gallery. What would you bring the swarm to build first?

One agent fetches and verifies data. One trains the model. One creates. One checks every asset for uniqueness before it ships. One packages it for the market. Not one AI trying to do five jobs. Five specialists who never touch the wrong stage.

Most creators disappear the moment their work sells once. LART connects ownership, marketplace flow, and royalty value so the asset keeps moving, and so do you. What happens to your work after the first sale, right now? 🔍

Q1: testnet, five agents. Q2: mainnet, audited royalties. Q3: video, audio, a comment graph that actually federates. Q4: self-hosted runtime, governance live. Then 2027 opens the SDK, and the network stops being LART's alone. The studio was always temporary.

1,284 models trained. 3,217 creators. 94k outputs a day, and rising. LART isn't five separate tools bolted together. It's one framework: source, train, generate, review, mint, royalties flowing back automatically. Five agents. One studio. Open the AI tools.

Provenance shouldn't disappear the moment a file leaves the hard drive. LART's five agents source, train, generate, verify, and mint, every step recorded on-chain, every royalty split automatically. Case zero starts here. 🔍 Read the whitepaper.

$LART is an ecosystem utility token—not ownership in physical art. It supports governance, evidence bounties, identity, access, protocol fees, ecosystem payments and settlement. Clear utility. Clear legal separation. #LART #TokenUtility

Case Zero is where the protocol began. The Lost Tesla Roadster Art Car was last publicly exhibited at Art Basel Miami Beach in 2010. Its disappearance became the blueprint for a global art recovery and provenance framework. #LART #CaseZero