




# Introduction

Social media has always been about connection but in Web3, connection comes with ownership. Friend.tech is the platform that took the crypto world by storm in 2023 and has continued to improve in 2025. Originally built as a SocialFi app where users could buy and trade access to influencers through tokenized “keys,” Friend.tech has steadily grown into something bigger: a Web3 super app that fuses creator monetization, DeFi, and community governance in one smooth interface.

What makes Friend.tech unique is how it flips the script, users are no longer the product; they’re the shareholders. And in 2025, that model is maturing fast.



## Friend.tech’s New Features That Blur the Line Between Finance and Social Media

![Monday, June 16 Subtopic 2.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/Monday_June_16_Subtopic_2_b88e4b5cf5.png)

In the last six months, Friend.tech has rolled out a series of upgrades that are shaping its reputation as the “WeChat of Web3.”
Here are some of the biggest shifts:

**1.DeFi Integration:** Users can now lend or stake their “social tokens,” earning yield based on community engagement.

**2.NFT Content Access:** Creators can token-gate premium content like podcasts, videos, and even live sessions.

**3.On-Chain Reputation Scores:** Similar to a credit score, but this one is for trust and value in decentralized communities.

**4.Group Chat DAOs:** Communities built around a creator or topic can vote, fund, or even build projects from within the app.


These features not only monetize social interactions, but also give users ownership and control which are the two core values to Web3 philosophy.



### Conclusion 

Friend.tech’s rise highlights a key shift in Web3: we’re moving from protocols to people. Projects are no longer just judged by tech specs, they're judged by how well they build and engage communities. SocialFi isn't about replacing Twitter or Instagram; it's about giving people economic and creative agency over their online identity.

As the Web3 ecosystem continues to mature, platforms like Friend.tech may become essential gateways especially for creators looking to own their revenue streams, build loyal audiences, and escape algorithmic dependence.


Discover how Friend.tech is improving into a Web3 super app in 2025, combining DeFi, creator monetization, and on-chain community tools to redefine the future of social media.

Monday, June 16 2.png

SocialFi 2025: How Friend.tech Is improving Into a Web3 Super App




## Introduction 

When Dogecoin launched in 2013 as a parody of the cryptocurrency frenzy, few took it seriously. Fast forward to 2025, and memecoins like Dogecoin and Dogwifhat are not only surviving, they’re thriving. Despite being dismissed by some as unserious or speculative, memecoins continue to dominate crypto culture in ways that even the most sophisticated DeFi protocols can’t replicate. Why? Because they tap into something deeper than utility, they tap into emotion, community, and viral humor.

From Elon Musk tweets to viral TikToks, memecoins have repeatedly shown that cultural relevance often outweighs technical complexity. In a space driven by rapid change and unpredictable hype cycles, memecoins thrive by being adaptable, accessible, and relatable.


### The Meme Factor: Why Internet Jokes Still Drive Market Value

![Monday, June 16 Subtopic.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/Monday_June_16_Subtopic_8c0c9dd5b6.png)

Truthfully, memes are a universal language on the internet. And in the crypto world, they do more than just entertain. They create instant familiarity. People might not understand zk-rollups or staking APYs, but they get a Shiba Inu in a space helmet. That’s what made Dogwifhat such a breakout success. it combined cuteness, absurdity, and community into a token people wanted to be part of, even if just for the laughs.

But there’s real power in that kind of virality. Memecoins ride cultural momentum, often outperforming technically superior coins simply because they’re fun, social, and easy to meme. They turn holders into evangelists and tweets into free marketing. Projects like Dogwifhat have leveraged this formula to generate massive community engagement and price surges, proving again that attention is a currency in itself.


### Conclusion 
While memecoins often start as jokes, they’re increasingly becoming vehicles for experimentation and community-driven economics. Dogecoin now has tipping systems. Bonk and Dogwifhat support NFT communities. And newer memecoins are launching with built-in DAO governance and revenue-sharing mechanisms. This blend of fun and function is why memecoins continue to carve out space in serious conversations about the future of digital assets.

So, whether you're in it for the memes, the gains, or the vibes, one thing’s clear: memecoins aren’t going anywhere. They're evolving, and in doing so, they're redefining how we think about value, attention, and digital ownership in Web3.


REASONS WHY MEME COINS ARE STILL RELEVANT.

Monday, June 16.png

Dogecoin to Dogwifhat: Why Memecoins Still Dominate Crypto Culture


In the world of Web3, Decentralized Autonomous Organizations (DAOs) have brought changes to how communities operate. Instead of a CEO or board making decisions, DAOs rely on smart contracts and community voting to guide everything from product development to funding.

But as DAOs grow in size and complexity, one question keeps popping up:

> Can Artificial Intelligence help DAOs make better, faster, and fairer decisions?

The answer is, yes.A new wave of AI-powered DAOs is here to stay and they’re doing a lot more than just counting votes.



## How Algorithms Are Managing Community Decisions

![algoriy.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/algoriy_c6d3dde3da.png)

AI is bringing structure and intelligence to DAO operations in several exciting ways:

#### 1.Sentiment Analysis on Proposals

Not everyone reads or votes on proposals. That’s what AI helps with. It Uses natural language processing (NLP) to scan community discussions (from Discord, forums, etc.) and summarize public opinion, even before a formal vote happens.

Think of it as an automated “community pulse check.”

#### 2.Predictive Voting Models

Some DAOs now use AI to simulate how a proposal might perform based on historical data. If similar proposals failed or passed, AI can flag red flags or suggest improvements, saving time and resources.

#### 3. Smart Treasury Management

One of the hardest parts of running a DAO is managing the treasury. AI helps by:

a.Monitoring token prices

b.Forecasting market trends

c.Automatically rebalancing portfolios


This means there'll fewer emotional decisions, and more data-driven actions.

#### 4. Decentralized AI Agents

Projects like Autonolas and Fetch.ai are integrating intelligent agents into DAO ecosystems. These AI agents can automate tasks like:

a.Approving grants based on preset criteria

b.Assigning tasks to contributors

c.Tracking KPIs and generating reports


The goal is to make DAOs not just autonomous, but intelligently autonomous.


### Case Study: AI + DAOs in Action

Let’s take DeepDAO and Aragon as examples.

1.DeepDAO analyzes governance activity across hundreds of DAOs using machine learning, providing data that helps improve decision-making.

2.Aragon has experimented with AI tools that recommend governance settings, reducing human bias and errors.


Meanwhile, SingularityNET is working on merging its AI protocols with DAO governance tools to create self-improving governance models.



### Does This Mean Humans Are Out of the Picture?

Not at all.

AI doesn’t replace the community, it augments it. Think of AI as the assistant that helps communities stay informed, reduce bias, and operate smoothly at scale.

Humans still guide the mission. AI just handles the messier parts, like data overload, proposal analysis, and vote prediction.



### Why It Matters for the Future of Web3

As DAOs become more than just experiments and start governing serious capital and complex projects, manual governance won’t be enough.

AI is the key to scaling decision-making without sacrificing decentralization.

Imagine:

1.Faster response times to crises

2.Fewer spam proposals

3.Smarter, fairer funding allocation


That’s what AI can unlock in the DAO world.

### Conclusion 
We’re entering a new era where blockchain ensures transparency, and AI ensures intelligence.

AI-powered DAOs represent one of the most promising aspects in Web3, it's blending technology, governance, and community in a way we’ve never seen before.

And no, it’s not sci-fi. It’s already happening.

So the next time you vote on a DAO proposal or join a community call, remember, your next DAO manager might just be an AI.



Can Algorithms Really Manage Community Decisions?


aipowerd.png

The Rise of AI-Powered DAOs


# introduction:

One of the biggest myths in crypto is that blockchain is bulletproof. While it’s true that blockchain tech is transparent and secure by design, it’s not entirely immune to fraud. Hacks, scams, rug pulls, and phishing attacks still plague the Web3 space, and they’re improving fast.

This is where AI-powered fraud detection comes in. By combining the openness of blockchain with the pattern recognition strength of AI, a new layer of security is emerging one that operates faster, smarter, and more effectively than traditional tools.



## How AI Flags Suspicious Patterns in Real-Time

![Aifrausub.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/Aifrausub_00ad8cd086.png)

So how exactly does AI keep your crypto safer?

#### 1. Behavioral Anomaly Detection

AI models are trained on millions of transaction patterns. If a wallet suddenly behaves abnormally (like sending out large sums to multiple new addresses) it triggers alerts instantly.


#### 2. Smart Contract Scanning

Tools like OpenZeppelin Defender and CertiK’s AI use machine learning to scan smart contracts for vulnerabilities before they go live. Think of it as an intelligent audit assistant.


#### 3. Real-Time Network Monitoring

Instead of waiting for a scam to be reported, AI bots actively monitor blockchain traffic. They can identify red flags like:

a.Rapid liquidity withdrawals

b.Token price manipulation

c.Phishing links in DApp front-ends



#### 4. User Risk Scoring

Some DeFi platforms are now using AI to assign wallets a "risk score" which is kind of like a crypto credit rating. High-risk wallets might be blocked or required to pass extra verification.



### Where It's Already Working

Major blockchain platforms are already adopting AI fraud prevention:

1.Chainalysis uses machine learning to trace illicit funds and flag suspicious addresses.

2.Elliptic detects potential money laundering across Bitcoin, Ethereum, and stablecoins.

3.Forta Network offers decentralized AI agents that watch over DeFi protocols like Aave and Compound 24/7.


These tools are catching fraud before users even notice something’s wrong.



### Why This Matters (Even If You’re Not a Developer)

AI isn’t just protecting protocols and whales it’s protecting you, the everyday user.

As more retail investors join DeFi and NFT platforms, fraudsters are getting bolder and sneakier. Having AI monitor on-chain activity gives us a better chance at staying one step ahead.

No more relying solely on audits or hoping the devs are trustworthy. Now, we have intelligent systems that are always watching out for threats, and learning how to stop them faster than any human could.


### Conclusion 

We’re entering a new phase of blockchain security where AI and automation are critical allies. In a space as fast-moving as crypto, manual checks aren’t enough. We need smart systems that can keep up.

Whether you’re a project founder, a DApp user, or just someone trying to avoid getting rugged, AI-backed fraud detection is the future of crypto safety.


How AI Is Making Blockchain Transactions Safer

Aifrau.png

Fraud Detection 2.0.



In 2025, crypto trading is no longer just about gut instincts and caffeine-fueled late nights. Now, artificial intelligence is entering the ring—and it’s winning more rounds than ever.

AI-powered trading bots, trained on terabytes of market data, are quietly outperforming many human traders. But what does that actually mean for the future of crypto investing? And should traders be worried or excited?


##  Real Trading Results: Bots vs. People

![5th June Subtopic 2.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/5th_June_Subtopic_2_c28e5ea217.png)

#### 1. Speed & Precision

AI bots can analyze thousands of market signals in seconds. While a human takes a few minutes to react to news, a bot can execute a trade in milliseconds—often before the news hits Twitter.


#### 2. Emotion-Free Decisions

AI doesn’t panic-sell. It doesn’t FOMO. Bots follow logic and probability, not fear or greed. That emotional edge has helped AI strategies reduce losses and increase win rates.


#### 3. Backtested Strategies at Scale

Before deploying capital, AI bots run simulations across years of historical market data. This allows for strategy optimization that most human traders simply don’t have time for.


#### 4. 24/7 Trading

Markets don’t sleep and neither do bots. While you’re sleeping, your AI can still be trading based on live data feeds, technical patterns, and even social sentiment analysis.


### So… Are Bots Winning?

Yes, and no.

While bots dominate in scalping, arbitrage, and high-frequency trades, humans still win in areas requiring creativity, adaptability, or understanding of nuanced events. Think: interpreting geopolitical risks or identifying long-term industry narratives.

Also, many of the best strategies today come from a human + AI combo. Traders feed AI their strategies, and the bots execute them more efficiently.



### What This Means for You

You don’t need to be a full-time trader to benefit from AI anymore.

Thanks to platforms like Kryll, Coinrule, and even DIY Python tools, anyone can set up basic AI trading strategies—with little to no coding required.

For example:

1.Set a bot to buy BTC when RSI drops below 30

2.Or sell ETH when a moving average crosses a key threshold


With some learning and practice, AI can become your co-pilot—not your competitor.


### Conclusion 
In crypto markets, the best traders of tomorrow may not be people or bots—but teams who know how to combine both.

As AI models continue learning from every trade, the gap between human intuition and machine execution will close even further.

So, if you’re still trading based only on gut feelings in 2025, you might be leaving profits on the table. It’s time to evolve.




5th June 2.png

AI vs. Human Traders.


## What Happens When AI Meets the Blockchain Superhighway?

AI is no longer just for Big Tech. Thanks to platforms like SingularityNET, everyday developers can now plug into a decentralized network of powerful AI services—without needing a PhD or a million-dollar budget.

SingularityNET is experiencing a massive surge in developer activity, now handling over 1 million API calls per month. That means more builders are using its decentralized platform to create smarter dApps, automate decision-making, and scale AI use cases across industries.



###  How Developers Are Leveraging AI at Scale

![5 June Subtopic 1.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/5_June_Subtopic_1_93b103cc4d.png)

Let’s break down how developers are tapping into SingularityNET’s growing ecosystem:

**1.Plug-and-Play AI Services:** Need an AI tool for voice recognition, sentiment analysis, or image classification? Instead of building one from scratch, developers can just call an API on SingularityNET’s marketplace.


**2.Global AI Marketplace:** It's like an open bazaar for AI tools. Developers can list their own models, access others, and get paid in $AGIX — the network’s native token. No middlemen.


**3.Cross-Chain Integrations:** SingularityNET is no longer limited to one chain. With bridges to Cardano and Ethereum, developers can build on multiple ecosystems without compromising functionality.


**4.Cost-Effective and Scalable:** Traditional cloud AI services can get pricey. SingularityNET’s decentralized infrastructure helps reduce costs while improving availability and transparency.



Whether it's in healthcare, finance, or the metaverse, this API-powered AI model is helping Web3 projects scale smarter and faster.



### Why This Surge Matters

More API calls mean more adoption. And more adoption means AI is no longer a gatekept superpower.

In fact, decentralized AI is helping Web3 developers bypass traditional bottlenecks like:

1.Expensive AI licensing

2.Closed-off ecosystems

3.Limited compute access


With SingularityNET, the goal is simple: make AI services as accessible and permissionless as DeFi protocols.


### Conclusion 
SingularityNET isn’t just about tools—it’s about reimagining how intelligence flows across the internet. As we continue to decentralize finance, data, and identity, it only makes sense that intelligence itself joins the revolution.

With more developers tapping into its APIs, SingularityNET is becoming the go-to AI layer for the decentralized web.




How Developers Are Leveraging AI at Scale



5 June 1.png

SingularityNET’s API Surge



### Introduction 
By now, we’ve all seen the videos of fake celebrity endorsements, fake news clips, even fake political speeches that look and sound real. Deepfakes have become so convincing that even tech-savvy users struggle to tell what’s real anymore.

With AI tools more accessible than ever, misinformation campaigns are gaining ground and it’s a growing problem for brands, creators, and even everyday users. But while AI helped create this mess, it might also be the key to cleaning it up.


### How Decentralized AI Can Verify Real From Fake

![4th Subtopic 2.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/4th_Subtopic_2_a17d9cdae7.png

The solution isn’t just better AI,  it’s decentralized AI. Here’s why:

**1.Tamper-Proof Verification:** When AI is combined with blockchain, every piece of content (image, video, audio) can be time-stamped and verified at the source. If someone tries to alter it, the blockchain knows.


**2.Distributed Trust:** Instead of relying on centralized platforms (which can be hacked or manipulated), decentralized AI systems cross-check media through multiple nodes making it much harder to fake.


**3.On-Chain Credentials:** Decentralized identity systems can verify whether content was truly produced by a human, a verified creator, or an authorized AI agent.


**4.Real-Time Detection:** When AI models trained to detect manipulated content are deployed on decentralized networks, fake media can be flagged automatically before it spreads.



This combo of AI and blockchain isn’t just powerful, it's trustworthy, meaning you don’t have to rely on a single authority to tell you what's true.



### The Rise of “Proof of Reality”

Projects like Reality Defender, Truthchain, and Socratic are exploring ways to build a system of record for real-world truth:

1.News videos that come with blockchain-verified metadata

2.AI-generated content that includes embedded signatures

3.Social media posts with on-chain timestamps and author proof


It’s like a watermark for truth backed not by logos, but by code.


### Conclusion 
In an era where even a single fake video can shift markets or ruin reputations, decentralized AI isn't a luxury, it's a necessity.

The future of trust will depend on how quickly we embrace these technologies. Deepfakes are here to stay, but so is the fight for truth, that's powered by blockchain and verified by AI.




Why Decentralized AI Is the Only Defense Against Deepfakes in 2025.



4th June 2.png

DECENTRALIZED AI VS DEEPFAKES.



### Introduction 
AI is the new trend, but it’s also expensive. Training large models, running predictions, and deploying AI systems at scale can burn through a ton of computing power (and money). Traditional blockchains like Ethereum simply weren’t built for that kind of workload.

That’s where Ritual Network comes in. It’s a new kind of blockchain that’s designed specifically to support AI from the ground up.

They’re calling it an “AI-first blockchain”, and it’s already making waves for its speed, scalability, and cost savings.



### Cost Efficiency Compared to Ethereum: A Game Changer

![4th Subtopic 1.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/4th_Subtopic_1_b88188da06.png)

Ritual’s biggest headline? It’s 85% cheaper than Ethereum when running AI workloads. That’s a huge deal for developers, startups, and researchers who want to build smarter, faster, and more decentralized apps without breaking the bank.

**Here's how Ritual pulls it off:**

**1.Optimized Architecture:** Unlike general-purpose chains, Ritual is tailor-made for high-throughput AI jobs.

**2.Modular Compute Layers:** It separates consensus from computation, letting AI models run more efficiently.

**3.Lower Gas Fees:** Because AI operations are handled off-chain or in optimized layers, gas costs are significantly reduced.


For developers who’ve been priced out of Ethereum or bogged down by Solana congestion, Ritual is purpose-built for the next wave of AI dApps.



### What Kind of AI Apps Are Built on Ritual?

Ritual is already attracting a growing community of builders focused on:

1.AI marketplaces where users can buy/sell model outputs

2.On-chain AI agents for automated DeFi trading

3.Decentralized LLMs for content generation and customer support

4.Privacy-preserving AI for healthcare and finance


Think of it as the Web3 infrastructure layer for AI, doing for artificial intelligence what Ethereum did for tokens and smart contracts.



### Conclusion 
By drastically lowering the cost of AI operations, Ritual Network is helping everyone access machine learning and enabling a new class of dApps that simply weren’t feasible before.

If Ethereum was the first wave of smart contracts, Ritual might just be the start of smart AI contracts where agents think, act, and improve on-chain.




How Ritual network's first AI blockchain is 85% Cheaper Than Ethereum for AI Workloads.

4th June 1.png

Ritual Network’s ‘AI-First’ Blockchain


>Data Is the New Medicine, But Who Controls It?

Some Pharmaceutical companies today rely heavily on AI models to discover new drugs, predict patient outcomes, and speed up clinical trials. But training these models requires sensitive patient data and that’s where things get tricky.

Sharing health data can unlock huge benefits, but it also raises serious concerns:

Can it be trusted?

Will it stay private?

Who profits from it?


That’s where Ocean Protocol comes in, it's a Web3 data-sharing network designed to protect user privacy while still enabling powerful AI training.


### How Secure Marketplaces Are Changing Healthcare AI

![3rd June Subtopic 2.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/3rd_June_Subtopic_2_ef66421ab6.png)

Ocean Protocol flips the traditional data economy on its head.

Instead of uploading sensitive medical records to centralized servers owned by Big Tech or research labs, Ocean lets pharma companies access data through a decentralized data marketplace. 

#### Here's how it works:

**1.Data Stays Local:** Patient data doesn’t move. Instead, AI models are sent to where the data lives, trained securely, and only results are returned. This is known as federated learning.

**2.Data Owners Stay in Control:** Hospitals, clinics, or even individuals can choose to share or monetize their data without giving it away.

**3.Built-In Privacy:** Ocean uses tools like compute-to-data and zero-knowledge proofs to ensure data remains private, even during training.


This approach is especially valuable in the pharmaceutical world, where regulatory compliance and patient trust are non-negotiable.


### Why Pharma Needs This Now

**1.Faster Drug Discovery:** AI can analyze diverse health data from around the world to spot patterns faster.

**2.Ethical Data Use:** Patients can benefit from contributing data without risking exposure.

**3.Global Collaboration:** Researchers from different countries can work together securely without breaking laws like GDPR or HIPAA.


Some early collaborations between Ocean Protocol and biotech firms are already showing how decentralized data access can lead to smarter, safer, and faster medical breakthroughs.


### Conclusion.

As pharma moves deeper into AI, Ocean Protocol offers something that’s been missing from the data equation: trust.

Instead of locking data behind corporate firewalls or risking exposure, companies now have a way to collaborate without compromise.

So, the next time you hear about an AI that discovers a life-saving drug, there’s a good chance it was trained on secure, decentralized data, thanks to Ocean Protocol.



How Ocean Protocol Is Helping Pharma Companies Train AI Models Securely


3rd June 2.png

OCEAN PROTOCOL AND PHARMA AI TRAINING.



When most people think of contracts, they think of fine print, back-and-forth emails, and legal jargon that takes weeks (and a lawyer’s paycheck) to untangle. But what if creating, managing, and executing legal agreements could be as easy as sending a text?

That’s exactly what AI-powered smart contracts are making possible especially in the fast-moving world of blockchain and crypto.



## What Are AI Smart Contracts?

Smart contracts are self-executing programs that live on the blockchain. They automatically enforce agreements between parties with no middlemen required.

Now, combine that with artificial intelligence, and these contracts don’t just execute rules, they can understand context, adapt to changing inputs, and even draft themselves based on plain-language prompts.

Think of it like this: You could tell an AI assistant, “Set up a revenue-sharing agreement for this NFT collection,” and instead of calling a lawyer, the AI would generate a legally binding contract, check for fairness, and deploy it on-chain, all within minutes.



### Legal Agreements in Seconds: How AI Automates the Fine Print

![3rd June Subtopic 1.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/3rd_June_Subtopic_1_e51729cbe5.png)

This is the real breakthrough.

AI-enhanced smart contracts can analyze legal templates, regulatory requirements, and business terms to instantly draft personalized contracts. No more filling out PDF forms or risking human error.

Some platforms are already using large language models (like GPT) alongside blockchain protocols to auto-generate smart contracts for things like:

1.DAOs allocating community funds

2.Rental agreements for tokenized assets

3.Licensing deals for digital collectibles and content


Once the agreement is coded, it’s stored on a transparent, tamper-proof blockchain. That means all parties can trust the process and skip the expensive back-and-forth.


### Why does it Matter?

1.Startups Save Time & Money: No need for legal departments to review every small contract.

2.More Access, Less Gatekeeping: Anyone, anywhere can enter into secure, enforceable agreements.

3.Speed Without Sacrificing Safety: Transactions and deals happen instantly, with rules enforced by code.


This is especially useful in the DeFi space, where time is critical, and legal ambiguity can break trust. AI smart contracts reduce complexity, improve clarity, and keep things moving without legal friction.



### Conclusion 

We’re moving toward a future where smart contracts don’t just follow code, they think, learn, and improve. And as AI continues to improve, expect blockchain-based legal tools to become more intuitive, accessible, and powerful than ever before.

Legal agreements in seconds? That’s not science fiction anymore, it’s just smart automation.





Automating Legal Agreements Without Lawyers

3rd June 1.png

AI-Powered Smart Contracts



# Introduction 

>The average company spends *$1.3 trillion yearly* on customer support, yet 58% of users still dread calling help desks.

Imagine needing help in a Web3 app and getting instant, accurate support without waiting hours or opening a ticket. No middlemen, no frustrating forms. Just smart, responsive help from a decentralized AI agent built right into the protocol.

Welcome to the world of DACs (Decentralized Autonomous Chatbots), an AI-powered support system designed to replace traditional customer service in decentralized environments.

But are they really the future?

Let’s learn.



## What Are DACs?

DACs are AI chatbots trained to handle user inquiries in decentralized applications (dApps). But unlike regular bots that run on centralized servers (like those in Web2), DACs are often:

1.Open-source

2.Hosted on blockchain or IPFS

3.Governed by smart contracts

4.Incentivized by token models

5.Slashes support expenses by up to 90% (McKinsey).

In essence, they’re autonomous customer support agents that can evolve with community input and run 24/7 without needing a traditional help desk.



### The roles of Decentralized AI Chatbots

![2nd Subtopic 2.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/2nd_Subtopic_2_eab6912e0a.png)

Web3 is growing fast, but let’s be honest: the user experience is still rough.

From navigating DeFi platforms to recovering lost seed phrases, users often feel lost. That’s where DACs come in. They offer:

1.Faster response times without human bottlenecks

2.Multilingual and round-the-clock support

3.Decentralized data handling, boosting privacy

4.Community-owned training, ensuring relevance


With these perks, AI chatbots in Web3 can offer a scalable way to onboard millions without burning out human teams.


### Challenges of DACs

It’s not all perfect. Some pain points include:

Accuracy: AI still struggles with nuanced or technical questions

Bias and hallucinations: Decentralized doesn’t mean perfect data

Security: Bots accessing wallets or protocols need strict permissions


Still, the benefits outweigh the hurdles, especially in a space as global and fast-moving as Web3.



### So… Will DACs Replace Traditional Support?

Maybe not completely, but they’ll likely become the first layer of support across most Web3 platforms.

Humans won’t vanish. They’ll just focus on complex issues, while DACs handle repetitive FAQs, onboarding, and real-time guidance.


### Conclusion 

The Web3 space is built on decentralization and autonomy. So, it makes sense that customer support is getting the same treatment.

With decentralized AI chatbots, the future of Web3 won’t just be fast and secure,  it’ll be user-friendly, too.



Discover how decentralized AI chatbots (DACs) transform customer support with community training, transparency, and token rewards. No more hold music.


2nd June 2.png

Decentralized AI chatbots



>The world of crypto never sleeps and neither do AI-powered trading bots.

Did you know **60% of trades** on platforms like Uniswap are executed by AI bots? These autonomous agents analyze markets, swap tokens, and learn from mistakes, all while you sleep. Let’s break down how AI crypto wallets are making DeFi effortless and profitable.  


## First, What Are AI Crypto Agents?

![2nd Subtopic 1.png](https://chainblog-strapi-aws-s3-images-bucket.s3.eu-north-1.amazonaws.com/2nd_Subtopic_1_bb6f660234.png)

AI crypto agents are autonomous software programs that can manage and execute DeFi strategies without human intervention. Think of them as your 24/7 crypto assistant, only difference is that they don’t eat, sleep, or panic during market dips.

These bots combine machine learning, real-time data feeds, and smart contracts to:

a.Analyze market conditions

b.Make informed trading decisions

c.Optimize yield farming or liquidity provisioning

d.Reinvest profits automatically


In short, they’re helping investors do more with less effort  and with faster response times than any human trader could manage.


### Why They are important 

The beauty of autonomous DeFi bots is that they:

1.Remove emotional bias (no fear, no greed)

2.React instantly to market changes

3.Optimize returns using AI models trained on massive datasets

Democratize access to sophisticated trading tools


That last point is big: You don’t need to be a hedge fund manager or coder anymore. With platforms offering plug-and-play bots or AI-managed wallets, everyday users can benefit from automated trading and compounding strategies.


### Limitations in AI bots still exist

As exciting as this is, it’s not without risks:

1. AI agents trained on past data may fail in unpredictable market conditions.

2. Bots can be exploited if the underlying code has bugs.

3. Sometimes, it’s hard to explain why a bot did what it did.


So, while autonomous DeFi sounds slick, it’s important to do your homework and use platforms with strong security, transparency, and reputation.


### Conclusion 

AI crypto agents aren’t replacing humans, they’re amplifying our capabilities. As models get smarter and blockchain infrastructure improves, we’ll likely see entire wallets run autonomously, adjusting risk, swapping assets, and even voting in governance proposals without direct human input.

It’s a powerful shift. One where DeFi meets autonomy, and users can earn, trade, and build wealth hands-free.



Discover how AI agents automate crypto trading, optimize DeFi yields, and manage risks.

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