Drazz

Tired of hallucinating AI? Perle is solving it at the root with expert-verified, on-chain auditable training data. High quality in = high quality out. Simple. participating in @PerleLabs community campaign👇 #PerleAI #ToPerle

Tired of hallucinating AI? Perle is solving it at the root with expert-verified, on-chain auditable training data. High quality in = high quality out. Simple. participating in @PerleLabs community campaign👇 #PerleAI #ToPerle

@GemsOfCricket 50s 🤝

RoKo moment 🥰

@CricCrazyJohns anchoring the inning? nahh not this bud thing

FIFTY FOR ROHIT SHARMA 😍 - Fifty from just 23 balls, The Hitman show, What a knock in the run chase for Mumbai Indians.

@mufaddal_vohra anchoring the inning? nahh not this bud thing

THE HITMAN STARTS IPL 2026 WITH A BANG. - 23 ball fifty by Rohit Sharma while chasing 221, what a monumental hitting tonight by Rohit. 🔥

@0xreso1ute @PerleLabs ayy ty! took me long enough

@Demyizz @PerleLabs btw that was a really good video drazz

@kGow_11 @PerleLabs

@Demyizz @PerleLabs lg perle

@0xreso1ute @PerleLabs gPerle resolute

@Demyizz @PerleLabs gPerle drazz

@matte0btc @PerleLabs

@Demyizz @PerleLabs 😂

@DeRonin_ legend

How to become an AI Automation Engineer in the next 6 months: By the end, you want to be able to: - build end-to-end automated workflows for real businesses - connect AI to the tools companies already use (CRM, email, docs, support) - replace repetitive human tasks with reliable AI systems - charge clients $500–5k/mo and deliver real ROI So, let's discuss your roadmap month by month Month 1: Get your foundation right What to learn: - Python basics (you don't need to be a senior dev, just functional) - how APIs work (HTTP, JSON, auth, webhooks) - no-code/low-code tools: Make, n8n, Zapier (pick one and go deep) - how to read API docs and connect two tools together - basic prompt engineering (inputs, outputs, instructions) - what LLMs are good at vs. what they're not Your first project: automate something in your own life with Make or n8n Month 2: Master AI + workflow automation What to learn: - OpenAI / Anthropic API basics (completions, system prompts, structured outputs) - how to embed AI into a workflow (not just use ChatGPT manually) - function/tool calling (how AI decides what action to take) - chaining steps: trigger → AI decision → action → output - error handling and fallback logic - cost awareness (tokens, API pricing, when AI is overkill) Your project: build an AI workflow that reads an email, classifies it, and routes it automatically Month 3: Build the core automation use cases What to learn: - lead generation automation (scraping, enrichment, outreach sequencing) - AI-powered cold outreach (personalization at scale) - CRM automation (auto-update fields, log calls, create tasks) - content pipelines (brief → draft → format → publish) - meeting automation (transcript → summary → action items → CRM entry) - internal knowledge bots (connect docs/Notion/Drive to a Q&A interface) Your project: build a full lead gen → outreach → CRM pipeline for a fake or real client Month 4: AI agents and multi-step systems What to learn: - what agents actually are - when to use agents vs. simple chains - tool selection and routing logic - state management across steps - human-in-the-loop checkpoints - how to make agents reliable (retries, fallbacks, logging) - multi-agent setups (when one agent hands off to another) Your project: build a support agent that handles tier-1 tickets, escalates edge cases, and logs everything Month 5: Make it production-ready and sellable What to learn: - how to deploy workflows (n8n self-hosted, Make teams, custom Python + FastAPI) - logging and observability (know when something breaks before your client does) - prompt versioning (don't change prompts randomly in live systems) - security basics (API keys, access control, no exposed credentials) - how to handle rate limits, retries, and downtime gracefully - how to document and hand off a system to a non-technical client - basic SLAs (uptime, response time, what you're responsible for) Your project: take one of your month 3-4 builds and make it client-ready with docs, monitoring, and a clean handoff Month 6: Specialize, get clients, and start charging The skills you have now can go in three directions, pick one and go all in on outreach and portfolio Direction 1: Freelance automation builder Best if you want clients fast and income in 30-60 days Focus on: - 2-3 repeatable workflow templates (lead gen, support bot, content pipeline) - a simple case study for each - outreach to SMBs, agencies, coaches, SaaS founders - charge $500-2k/project to start, then move to retainers Direction 2: In-house automation engineer Best if you want stability and to work inside one company Focus on: - ops and internal tooling use cases - connecting AI to existing company stack (Slack, Notion, HubSpot, etc.) - building internal agents and dashboards - showing measurable time/cost savings Direction 3: AI automation agency Best if you want to scale beyond trading time for money Focus on: - building a repeatable service with clear deliverables - hiring or partnering to fulfill - niching down by industry (e.g. real estate, e-commerce, recruiting) - productizing workflows into templates you sell or license as always, the more practice you have, the better. The same applies to AI engineering to be honest, right now I'm preparing three articles at once, working on them 24/7, each with curated resource lists for every point so you don't have to search for everything yourself one article will cover resources to become an AI engineer the second one will cover resources to become an AI automation engineer the third one will stay a secret for now… but I promise it will be something very useful follow and turn on notifications so you don't miss it I really appreciate your support, see the feedback, and it motivates me to create even better content for you sometimes even at the cost of my own personal progress but once these articles are finished, we'll move to a new level of learning AI

@Riowgmi cant be more accurate hahah

how crypto guys explain their job: > to parents: “i work in tech” > to friends: “i do finance stuff” > to girl: “i’m an investor” > to CT: “i’m a degen” > to mirror at 3am: “what am i doing”

@thecaptaingates @Polymarket my bro

Been using my luck to help India win the matches at the #ICCMensT20WorldCup cos I bet on the opponent to win and never put my money on India. I'm happy to lose a couple of bucks when it's India winning and I'm making profits in emotions 😂 The world cup and @Polymarket have been fun! #INDvsENG

@erequendi wtf was I doing in 2011

In 2011 you could visit this website and claim 5 Bitcoin for free

@ToolySOL its steal at that price

Built different.

@Demyizz Win with Sahara :P smart move

If your “simple setup” needs a README and 20 commands it’s not simple... ClawApp is basically OpenClaw without the pain > No terminal > One-click skills > Local AI agents > Works on your machine Actually simple.

@CryptoTeluguO @monad had high hope on it, in terms of fundamentals and solution

🤷Believe it or not ☠️ @monad Vanished from Timeline 🤔Agreed?

@matyv_7 @SaharaAI gonna be massive

☀️ Sahara AI 2026 Roadmap is finally here. In a year where many projects vanished @SaharaAI kept building. Sahara is an AI company that actually runs at scale. With tens of millions in revenue and 40+ enterprise clients including Microsoft, Amazon, and MIT they have already battle-tested their data services, 🤖 While the industry is just now discovering AI agents, Sahara has been running them for years. Sahara AI is building the infrastructure where autonomous agents can handle execution and value settlement automatically on-chain. 🗺️ 2026 Roadmap Q1 2026 Sorin: Your Personal Agent for Global Digital Markets: A unified agent that researches, analyzes, and executes trades across stocks, crypto, and tokenized assets. ClawApp: OpenClaw Agents Made Easy: The first open-source desktop app that lets anyone get a local autonomous agent running in minutes. Upgrading Blockchain to the Agentic AppChain: Purpose-built infrastructure to support high-frequency microtransactions and verifiable compute. Crypto Agent Evaluation & Benchmark Framework: Establishing the industry standard for measuring autonomous agent performance and reliability. Q2 2026 Agentic Protocol Upgrades: Unlocking fully autonomous value flow where usage becomes settlement automatically. The Data Intelligence Platform for Agents: Providing agents with real-time market context, on-chain activity, and social sentiment signals. Persistent Agent Memory: Introducing evolvable memory so agents can learn from outcomes and adapt their behavior over time. Enterprise AI Data Services & DSP Expansions: Stronger oversight and infrastructure for large-scale, global enterprise AI programs. Q3 2026 Autonomous Multi-Agent Systems: New primitives that allow agents to collaborate as coordinated networks to solve complex, end-to-end tasks. Marketplace Expansion: Support for derivative agents, allowing developers to fork, customize, and monetize products with built-in provenance. Q4 2026 and Beyond Mainnet Launch: The full transition to the Agentic AppChain where AI assets, models, and agents are registered and traded natively on-chain. The Future of $SAHARA Utility: Integration of the token for native gas, staking, and automated payments across the entire collaborative AI economy. 🚀 2026 looks amazing for Sahara ai, and I am happy to be part of it. Read the full article below👇 #AIforALL

@Typeczek @SaharaAI

Yo fam! 🔆 2026 will show you that @SaharaAI is only just catching the wind in its sails! 🚀 The development of Sahara AI is entering a whole new level this year… The experience gained from working with real companies, real data, and real problems is what drives their steady progress. 🚀 Q4 2026 >> Mainnet Launch << This is the milestone everyone is waiting for. With mainnet live, the Sahara Blockchain will fully operate as an Agentic AppChain where AI assets, agents, and value flows exist natively on-chain. 🔥 2026... A New Phase Begins What excites me the most is that in 2026 Sahara is entering a completely new phase. From a strong B2B foundation → they are moving toward a full ecosystem: B2B, B2B2C, and B2C. This is exactly the moment when infrastructure begins to meet mass adoption. 🤖 Personal Agents Are Coming (@HeySorinAI & @openclaw/#ClawApp) What really gets me excited is the vision of personal agents. Projects like Sorin and ClawApp show that agentic AI is no longer just a tool for developers, but is starting to reach everyday users. And that’s a huge step toward the true democratization of AI. 🧱 Building the Trust Infrastructure for Agents Another thing that matters a lot to me is the infrastructure aspect. Sahara is building the entire trust foundation for agents, and in a world where agents will make more and more decisions, these kinds of mechanisms will determine whether people actually trust them. 🌐 Open & Interoperable Ecosystem Another impressive aspect is their approach to openness and interoperability. The fact that their protocols are chain agnostic and can work with different ecosystems shows that this isn’t about building a closed garden, but about creating real infrastructure for the entire agent economy. 🧠 What’s Coming in the Roadmap Looking at the roadmap: → persistent memory for agents, → multi-agent systems, → an agentic marketplace, → an evaluation framework for crypto agents, → the Agentic AppChain... You can clearly see a very coherent vision. This isn’t just a random list of features, but a set of building blocks leading toward a world where agents truly collaborate, learn, and create value. Personally, I really like Sahara’s philosophy: > Building technology that works in the real world and enables a fair distribution of value in AI. < From my perspective, 2026 could be a truly breakthrough year for Sahara. 😎 The foundation is already there... now the scaling phase begins. 🫶 I’m rooting for the entire team and the vision of an agent-driven Web3 Let’s build !🌵 🔆🤖 #AiforALL #SaharaAI

@TheBTCTherapist someone tweeted "WE ARE SO FUCKING BACK"

POV: Your portfolio is down -44% but Bitcoin just hit $71,000

@coingecko @Aster_DEX just a tweet away

@Aster_DEX Is $ASTER about to go parabolic?

🌑 You've been warned. The shadow moves.