Yusuke(❖,❖)

@SeismicSys
@StoryProtocol
@ritualnet
please be a good day

[Yusuke(❖,❖) @yusukegung1]

ทำไม ritual ถึง น่าสนใจ ตอนนี้ ยังค่อน ข้าง Early มาก
หลักๆ ritual ระดม ทุนได้ทั้งหมด3 รอบ
และ นำด้วย vc ชั้นนำ เช่น polychain ระดมทุน รอบ
Series A 25M ด้วย FDV 250M ตามรูป แต่รอบ ของ polychain ไม่ได้บอกว่า FDV เท่าไหร่ แต่ น่าจะเกิน 25M แล้ว @RitualThailand @joshsimenhoff

[Yusuke(❖,❖) @yusukegung1]

gmic join poker firday come guy

[Chuarli @Chuarlii]

Finally after 7 month i get ritty role

Boost

Big thanks for @ritualfnd @ritualnet @0xploplo

Stay Ritualized

[Yusuke(❖,❖) @yusukegung1]

Siggy has mastered three important skills: refreshing dashboards, reading announcements, and pretending "just one more quest" won't turn into another two hours online. The Ritual rabbit hole is real, and it's worth every minute. 🚀😂
@ritualfnd @ritualnet

[john (❖,❖) @johntolll]

The Siggy
─+──+─

Mint is only open for 1 week.

Mint
│
├─ Earn $SIGGY
├─ Holder utilities
├─ Marketplace
└─ ???

Some things are better experienced than explained.

https://t.co/Md40FwKu5F

[john (❖,❖) @johntolll]

I think we're asking the wrong question.

Every discussion around AI eventually turns into:

"Which model is the best?"

But being the best model doesn't automatically make you the most important part of the stack.

History shows that infrastructure often captures more long-term value than the applications built on top of it.

If AI becomes a commodity, what actually becomes scarce?

Trust.

Verification.

Coordination.

Composable execution.

That's why I'm paying more attention to infrastructure than leaderboard benchmarks.

The next AI race might not be won by the model with the highest benchmark score.

It might be won by the network that makes intelligence usable, verifiable, and economically composable.

That's what makes Ritual an interesting bet to watch.

[JT🪩💡 @AbrahamJT9]

In every market cycle, the same playbook unfolds.
A wave of momentum brings noise, short term speculation, and endless surface level distractions. But when the dust settles, a universal truth in Web3 becomes undeniable, the long term value always accrues to those who consistently back real infrastructure builders.

Smart contracts laid the groundwork for simple financial logic like token swaps and lending pools. But as decentralized applications mature, basic on chain logic isn't enough.

The next frontier requires processing complex computational workloads specifically AI inference, machine learning, and privacy preserving execution without relying on centralized corporate intermediaries.

That’s why I am locked in on @ritualnet

People call it Madness
I call it Conviction

Today’s artificial intelligence landscape relies heavily on closed, permissioned APIs controlled by a handful of tech giants. This setup creates critical vulnerabilities like:
Black Box Execution
Privacy Risks
Single Points of Failure

To bring true intelligence on chain, Web3 needs a sovereign, verifiable compute layer designed specifically for complex workloads.
This is what ritualnet is actually doing

It isn't just another wrapper over existing APIs, it is the open infrastructure layer connecting distributed compute resources directly to smart contracts. Acting as an AI coprocessor, Ritual allows decentralized applications to think by executing heavy computational tasks off chain while verifying the results on chain.

The foundation for next generation Web3 is being laid right now.

Are you paying attention?
RITUAL is coming.🕯

@ritualfnd

[Yusuke(❖,❖) @yusukegung1]

Some people collect screenshots of profits. Siggy collects screenshots of completed quests, new DApps, and memorable community moments. The journey is worth celebrating, because every experience adds something valuable. 🚀🖤 @ritualfnd @ritualnet

[Anirudh @anirudhchain]

gm ritual Builders

[Yusuke(❖,❖) @yusukegung1]

Another Ritual quest completed. Another lesson unlocked. Siggy isn't chasing perfection—just steady improvement every single day. Small wins stack up faster than most people realize, and that's how great communities are built. 🖤✨@ritualfnd @ritualnet

[Yusuke(❖,❖) @yusukegung1]

Being early isn't just about joining first. It's about learning, testing, giving feedback, and growing alongside the ecosystem. Siggy knows the best stories aren't written overnight—they're built one contribution at a time. gRitual. 🚀
@ritualfnd @ritualnet

[James557 (❖,❖) @JamesJa43782392]

When AI Becomes the Developer: Ritual’s Vision for Autonomous dApp Creation

The next evolution of AI isn’t just about writing better code, it’s about building complete applications from start to finish without relying on human developers.

Ritual is pushing this idea further by giving AI agents the ability to design, develop, deploy, verify, and even maintain decentralized applications autonomously. Instead of acting as coding assistants, these agents become full-stack builders capable of delivering production-ready software on Ritual Chain.

Teaching AI How to Build

At the heart of this system is a collection of structured knowledge that enables AI agents to understand the Ritual ecosystem.

Rather than memorizing snippets of code, agents learn:

* Ritual’s system contracts and precompiles.
* Smart contract development patterns.
* Frontend integrations and wallet interactions.
* Deployment workflows.
* Testing and verification procedures.

When given an application idea, the agent studies only the knowledge required for that specific project before planning the entire architecture. It may ask a handful of clarification questions, then begins building independently

From Concept to Live Application

The development process follows a complete lifecycle rather than isolated coding tasks.

An autonomous builder agent can:

* Analyze the project requirements.
* Design the application’s architecture.
* Generate secure Solidity smart contracts.
* Build the frontend interface.
* Configure backend services.
* Execute testing.
* Deploy directly onto Ritual Chain.
* Verify that every component works correctly.

What traditionally required multiple developers, DevOps engineers, and testers becomes a coordinated workflow executed by AI.

AI Creating AI-Powered Applications

One of Ritual’s most fascinating concepts is allowing agents to create entirely new on-chain applications.

An existing autonomous agent can invoke another coding agent operating inside a Trusted Execution Environment (TEE). The coding agent then develops a decentralized application, compiles it securely, deploys it to Ritual Chain, funds the application’s wallet, and returns the deployed contract information.

No engineer writes a single line of production code.

No pull request waits for human approval.

The application is born entirely through autonomous execution.

Security Is Embedded Into Every Step

Autonomy without trust creates risk.

Ritual addresses this by making every critical action part of the blockchain’s native infrastructure.

Compilation occurs inside secure execution environments.

Deployments communicate directly with Ritual’s network.

Funding operations flow through the RitualWallet infrastructure.

Each deployment is validated before being considered complete, ensuring applications meet the required verification standards.

Rather than treating security as an external layer, Ritual makes it part of the development pipeline itself

Self-Healing Software

Software inevitably encounters bugs.

Instead of relying on developers to manually investigate failures, Ritual introduces autonomous debugging.

When verification detects a problem, a specialized debugging agent immediately begins recovery.

Its workflow includes:

* Identifying the category of failure.
* Running diagnostic tests.
* Comparing results against previously observed issues.
* Determining the root cause.
* Applying corrective changes.
* Re-testing the application to confirm the solution.

The result is software capable of repairing itself with minimal human involvementmm
A Smarter Development Workflow

Builder agents don’t load unnecessary information.

Instead, they dynamically select only the knowledge needed for each project, reducing complexity while improving efficiency.

maintenance.

As these systems mature, the role of developers shifts from writing every line of code to designing goals, constraints, and desired outcomes.

@ritualfnd

[john (❖,❖) @johntolll]

spent the last few days experimen on @ritualnet and i need to talk about it.

The Siggy
a collection of 1,000 pixel cat NFTs where the AI does EVERYTHING on-chain.

no off-chain generator.
no backend inference server.
no "trust me bro" API.

just ritual precompiles doing the heavy lifting.

here's the full pipeline, all on ritual testnet:

1. you click generate. your prompt is ECIES-encrypted client-side and sent to Ritual's LLM precompile. GLM-4.7 running inside TEE executors writes your cat's traits eyes, hat, clothing, rarity and delivers them back on-chain through async jobs.

2. those traits are woven into a locked collection prompt and passed to the image precompile. FLUX.2-klein paints a unique 1024×1024 pixel cat that stays true to the Siggy universe while giving every NFT its own identity. the result is returned on-chain through the async job tracker.

3. metadata is pinned to IPFS, then minted as a standard ERC-721.

the collection is capped at 1,000 NFTs.

the mint itself is free.
the only thing you pay is the compute required to execute Ritual's AI precompiles roughly 0.3–0.5 RITUAL per mint for the LLM and image generation. you're paying for real on-chain inference, not the NFT.

building this wasn't smooth lol.

i fought RPC timeouts, replaced transactions, node certificate rotations, async job failures, receipt decoding at 3am... but that's exactly why i'm excited.

this is still early, and it actually works.

i watched an onchain LLM write NFT traits, then an onchain diffusion model paint the artwork, all verifiable on the explorer with no centralized middleman involved.

most "AI × crypto" projects are just GPT wrappers with a token.

Ritual is the first chain where i could put the model inside the transaction.

when inference becomes a first-class chain primitive, you unlock entirely new applications:

• dynamic NFTs
• autonomous agents
• fully on-chain AI games
• applications where intelligence lives on-chain instead of behind an API

The Siggy is just my proof of concept.

mint one.
break it.
tell me what to build next.

https://t.co/GacixnB7hh

gm to the @ritualnet team if you're reading this.

the precompiles are criminally underrated.

let's build 🫡

@ritualfnd @joshsimenhoff @0xMadScientist @Jez_Cryptoz @dunken9718 @Majorproject5 @cryptooflashh

[Saqee @saqee_1]

Artificial Intelligence is advancing faster than ever before. Every day, AI is becoming more capable of generating content, analyzing data, automating workflows, and assisting with complex decision making.

But as AI becomes more powerful, one critical question becomes impossible to ignore.

How do we verify that AI is behaving as expected?

This is the challenge @ritualnet is working to address by combining blockchain technology with AI infrastructure.

[Yusuke(❖,❖) @yusukegung1]

Some people see a loading screen and leave. Siggy sees another opportunity to be patient. Every test, every retry, and every interaction helps improve the ecosystem for everyone. That's the kind of contribution that never goes unnoticed. 🖤
@ritualfnd @ritualnet

[Yusuke(❖,❖) @yusukegung1]

Siggy isn't waiting for someone else to build the future. Every quest completed, every DApp explored, and every bug reported helps make Ritual stronger. Progress isn't measured by speed—it's measured by consistency. One step at a time. gRitual. 🖤🚀 @ritualfnd @ritualnet

[Technik (❖,❖) @technik4959]

AI is ready to make decisions.
Blockchain still struggles to act on them.

A model sees the opportunity.

↓
An agent makes the decision.

↓
An external system executes it.

And somewhere between these steps, things can go wrong.

Latency.
MEV.
Stale data.
Failed infrastructure.

@ritualnet is exploring what happens when AI inference and execution become part of the same architecture.

No AI sitting on the sidelines.

No agent waiting for someone else to trigger the next step.

Just intelligence that can move directly into execution.

The real breakthrough isn't AI that can think.

It's AI that can act.

[Saqee @saqee_1]

Sometimes the most valuable projects aren't the loudest.

They're quietly building the infrastructure that everyone else will eventually use.

Ritual feels like one of those projects.
The future of AI should be open, verifiable, and decentralized.

And that's a future worth building.

[Yusuke(❖,❖) @yusukegung1]

Every Ritual builder started exactly where Siggy did—curious, excited, and willing to learn. Nobody knows everything on day one, but everyone can contribute by showing up and exploring. That's what makes this community special. 🖤
@ritualfnd @ritualnet

[Ritual @ritualnet]

i'm trying to break out of the machine

[Sagar_web3 @Sagar_web3_]

GM @ritualnet

Smart Contracts Are Finally Getting A Brain

<<The Old Limit>>
----------------------

Smart contracts used to be dumb logic.

If this, then that. Rigid rules, no flexibility.

Once deployed, they just sat there and executed.

<<What Changes When AI Is Native Onchain>>

Now AI isn’t bolted on with middleware or oracles.
It’s a first-class primitive on the chain itself.

That means contracts can actually "reason, decide, and act" without waiting for outside inputs.

<<What This Unlocks>>
-------------------------

"Autonomous agents" that interact with protocols on their own

"Adaptive DeFi" that shifts strategies based on market conditions

"Onchain LLM predictions" running in real time

No extra layers. No hacks. Intelligence lives in the contract.

<<The Bigger Shift>>
----------------------

We’re moving from static automation to autonomous applications.

Instead of just executing code, the chain can now think and respond.

Intelligence is finally native to blockchain.