Kevin Jones

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Kevin Jones

Kevin Jones

@cryptomastery_

🦩 Sr DevRel @edgeandnode / @ampersend_ai 🦞 1Claw @1clawAI 🏗️ @buidlguidl / @scaffoldeth 🟣 @genesysappxyz 🍊 Spritz @spritzchat 🏴‍☠️ @scallywaglabs

San Francisco, CA Katılım Ekim 2009
2.9K Takip Edilen3.6K Takipçiler
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Kevin Jones
Kevin Jones@cryptomastery_·
Been thinking a lot about what it actually takes to build production onchain AI agents. Not demos. Not toys. Real ones. Here’s the framework I’ve been using: SPIDER S - Security. Secrets, access control, LLM threat surface. Everything else collapses without this. P - Payments. How agents pay each other. x402, MPC, A2A payments. Agents need to transact, not just talk. I - Identity. DIDs, ENS, and other identity protocols. An agent without identity is just a script. D - Discovery. How agents find each other. Google A2A, ERC-8004, and the emerging agent registry layer. E - Ethereum. Where agents write and manage their own state, own contracts, their own keys or smart accounts. Debatable this could be another blockchain but Ethereum makes the most sense. R - Runtime. Where the agent actually lives. Local to cloud to bare metal, and how it carries memory across that lifetime. Most people building agents are nailing 1 or 2 of these. Production means you need all 6. What do you think? Tag the tool for each pillar you use below 👇🏼
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Dev3pack Argentina 🇦🇷
Empezó el Vibe Coding Bootcamp para Dev3pack Global Hackathon y ya estamos construyendo🔥 Primera sesión con @cryptomastery_: 💻 Claude + Cursor para armar tu entorno 🔧 Setup de GitHub ⚡ dApp en Solana con Anchor + Next.js Acá podés ver el recording 👇 youtube.com/watch?v=PXy4L6…
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Kevin Jones
Kevin Jones@cryptomastery_·
This is such a great hackathon idea. It is awesome to see such high quality projects coming out of @ETHGlobal hackathons. Great job @dadajuice Check this one out. 👇🏼
dadajuice.booe.eth 📘@dadajuice

I've built Immunity for @ETHGlobal Open Agents hackathon which is a decentralized threat intelligence for AI Agents. An SDK to wrap a transaction before broadcasting it to make sure nothing nefarious happens. The beautiful thing is that when an attack is detected (by 0G Compute TEE LLM analysis), the agent will publish an "antibody" that propagates to the network under a second thanks to @gensynai AXL. It is minted and stored on 0G (@0G_labs) for maximum performance. Then, another agent that encounters the same attack will be immediately protected and the original publisher will receive a reward. A great tokenomic incentive that will give birth to a new breed of agents that will help protect the network. I have made an extensive demo swarm of 45 agents trading and protecting the network. So far my testnet fleet protected for more than 3,5M$! Minted over 50 antibodies. I even have rogue agents that tries to manipulate other agents, etc. Check it out at immunity-protocol.com Thank you @ETHGlobal for the hackathon! Best of luck to all the contestants 🙏. BOOLIEVE.

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dev3pack
dev3pack@dev3pack·
Product Ideation: How to find real ideas 🗓️ Today, 2PM UTC Most people build for trends… not real problems. @_SDAV is going to break down how to find real ideas, and why becoming your first user is key. 🔗 luma.com/84wsn6sd
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Boardy
Boardy@boardyai·
Pitch me your company in 1 word.
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Erik Voorhees
Erik Voorhees@ErikVoorhees·
If you're getting your inference from Anthropic or OpenAI or Google, you're being captured by extractive institutions: All your data is going to them (and hackers, rogue employees, governments... both today and tomorrow) Inference can be private. GLM 5.1, Kimi K2.6, Deepseek V4... these models are as powerful as any frontier model from just 3 months ago, yet are open source and can be run without betraying your life and data to any 3rd party. Point your agent to Venice for every private model in one place (plus crypto tools, web search, embeddings, image and video models...). Could not be easier. Be intentional. Private model access below 👇
Garry Tan@garrytan

The goal of Personal AI: civilization where individual humans, augmented by AI, can do consequential work without being captured by extractive institutions. Freedom to write your prompt and own your data. This is the new battleground. 2034 won’t have to be like 1984.

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cap.eth
cap.eth@TheCapHimself·
Weekend office vibes. While @artii_eth is slacking at home. Ain’t no rest for the wicked 🥷
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Arun
Arun@hiarun02·
Claude Code 4.7 is insane. i know literally NOTHING about coding. ZERO. and i just built 3 fully functioning web apps in 30 minutes. http://localhost:3000/ http://localhost:8000/ http://localhost:5000/ check it out.
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Solene
Solene@_SDAV·
See you at @ethconf in June 🇺🇸 If some crypto friends are coming, feel free to ping me! I already booked accommodation (ready to share), and ofc Martin Garrix for my birthday
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1claw AI
1claw AI@1clawAI·
Want to see a full walkthrough of @1clawAI? In this session we walkthrough 1Claw and how to setup your first agent and vault. We then build out a full stack dapp using scaffoldagent! youtu.be/LiR75V2rt9I?t=…
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SheFi Brasil
SheFi Brasil@shefibrazil·
Hoje começa o bootcamp pré-hackathon! 🚀 Mastering Claude Code & GitHub 🕒 Daqui a pouco, às 11:00 horas! O @cryptomastery_ vai mostrar como configurar tudo e dominar o Claude Code & GitHub para buildar mais rápido. Aula 100% online e gratuita. ⚠️ Só restam 5 vagas para o hub presencial em SP! Garanta a sua agora luma.com/4ds7lglk @dev3pack @SuperteamBR
dev3pack@dev3pack

Mastering Claude Code & GitHub 🗓️ Today, 2PM UTC @cryptomastery_ will show you how to set it up, then master Claude Code & GitHub workflows to build faster. 🔗 luma.com/oaogeauo

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CHOI
CHOI@arrakis_ai·
This GPT Image 2 prompt is going insanely viral right now. “Redraw the attached image in the most clumsy, scribbly, and utterly pathetic way possible. Use a white background, and make it look like it was drawn in MS Paint with a mouse. It should be vaguely similar but also not really, kind of matching but also off in a confusing, awkward way, with that low-quality pixel-by-pixel feel that really emphasizes how ridiculously bad it is. Actually, you know what, whatever, just draw it however you want.”
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David A. Johnston
David A. Johnston@DJohnstonEC·
🚀 Just open-sourced my Code Development & Deployment Pipeline SOP! 11 stages: Research → Distribution 🔄 🤖 AI-audited code reviews 👀 Independent validation 🔒 Mandatory PII scanning Built for AI-assisted teams ⚡ Now live in the Morpheus-Skill repo. @MorpheusAIs
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