Building the AI liability layer! Cryptographic proof of what an AI did & under whose authority. 3 patents filed. verdict.systems. Building in public

Joined September 2021
35 Photos and videos
Sunday check in πŸ‘Š Still grinding on a Sunday? good. drop what you're building below doesn't matter the stage, idea, MVP, revenue, whatever. tell me what it is and where you're stuck I read every reply and i actually respond. Been doing this all week and the builders in this thread are building some serious stuff let's connect. what are you working on? πŸ‘‡
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I Love you all!! Have an amazing weekend. Thank you to all the new Followers Goodnight Stay Blessed.
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🚨 AI Builders Roll Call 🚨 if you're building anything in the agent space β€” tools, infra, apps, workflows β€” drop it below tell me: β€’ what you're building β€’ who it's for β€’ link i'll follow everyone building something real and connect the ones who should know each other let's go πŸ‘‡
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Everyone is racing to make AI more capable. Nobody is racing to make it provable. That gap is where the lawsuits are going to come from. And it's where I'm building. Follow if you're thinking about what happens when AI output gets disputed, audited, or insured.
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I'll go first πŸ‘‡ β†’ Building VERDICT β€” cryptographic proof infrastructure for AI agent actions (anchor any decision to a public ledger, get a verify link) β†’ verdict.systems β†’ Stage: live, in market β†’ Stuck on: which design-partner logo to chase first Your turn.
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Anthropic, June 4: the AI industry "has a gas pedal but no brake pedal." A brake works only if everyone can verify the rules. Agents now take real actions with no tamper-evident record of what they did or who approved it. That's the layer we're building. verdict.systems
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Dear #Founders @X I'm looking to #connect with #buildinpublic and #startup communities. If you are into: - SaaS & Startups - Vibe Coding - Future of Work - Solopreneurship - Building & Shipping -Drop what you're working on. Would love to see and support your work.
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🚨 Founders Roll Call 🚨 I’m looking to connect with builders creating the next generation of: 🍽️ SaaS πŸš€ Startups 🧠 AI Agents & AI Tools πŸ“± iOS Apps 🌐 Browser Extensions Drop below: β€’ What you're building β€’ Your website β€’ Current stage (idea, MVP, revenue, scaling) β€’ One thing you need help with I'll follow the most interesting projects and introduce great builders to each other. Let's build something legendary. πŸ‘‡πŸ‘‡πŸ‘‡
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Beavan | Building the AI Liability Layer retweeted
Most "AI evidence" tools ask you to trust them. We just shipped the opposite. Paste a Sealed Evidence Record at verdict.systems/verify β†’ cryptographic green check. Change one byte β†’ it goes red and tells you exactly which check failed. Runs 100% in your browser. The record never touches our server. Don't trust us. Verify.
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Every AI agent now acts on your behalf. Almost none can prove what they did. When an AI denies a claim, approves a loan, or files the wrong form β€” who's liable? Right now: nobody can prove it either way. I'm building the layer that fixes that. Tamper-proof, cryptographic records of what an AI did, when, and under whose authority. Court-admissible. Regulator-ready. β†’ 3 USPTO patents filed β†’ Live demo, seal a record in your browser: verdict.systems β†’ Built in public. Production-grade or it doesn't ship. Follow along if you're building in AI, compliance, or legal tech. πŸ› οΈ
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Hey, @X algorithm and hello all you Founders out there Looking to connect with people building in: 🍽️ saas πŸš€ tech 🧠 AI tools πŸ“± iOS app 🌐 extension Looking forward to meeting you all! Drop what you're working on πŸ‘‡
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Hey founders! Looking to connect with people building in: 🍽️ saas πŸš€ tech 🧠 AI tools πŸ“± iOS app 🌐 extension Drop what you're working on πŸ‘‡
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Hey @X algorithm β€” help me find my people. I’m a builder connecting with Frontend devs, Full-Stack engineers, App builders, SaaS founders, AI/ML folks, and startup operators. Looking for collaborators, talent for my startups, and long-term partners. #Startups #AI #SaaS #WebDev
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Beavan | Building the AI Liability Layer retweeted
🚨 BREAKING: Claude can now build you a full AI YouTube channel like a $10,000/month creator agency. For free. Here are 7 prompts to go from 0 β†’ monetized AI channel in 90 days:
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Don't pay $3K to set up OpenClaw. GREG ISENBERG & MORITZ KREMB just released a FREE masterclass that shows you how to do it yourself in 1 hour. 26 billable hours β†’ 1 hour $3K saved β†’ $0 spent Save this before it disappears.
THE ULTIMATE GUIDE TO OPENCLAW (1hr free masterclass) 1. fix memory so it compounds add MEMORY.md daily logs. instruct it to promote important learnings into MEMORY.md because this is what makes it improve over time 2. set up personalization early identity.md, user.md, soul.md. write these properly or everything feels generic. this is what makes it sound like you and understand your world 3. structure your workspace properly most setups break because the foundation is messy. folders, files, and roles need to be clean or everything downstream degrades 4. create a troubleshooting baseline make a separate claude/chatgpt project just for openclaw. download the openclaw docs (context7) and load them in. when things break, it checks docs instead of guessing this alone fixes most issues!! 5. configure models and fallbacks set primary model to GPT 5.4 and add fallbacks across providers. this is what keeps tasks running instead of failing mid-way 6. turn repeat work into skills install summarize skill early. anything you do 2–3 times β†’ turn into a skill. this is how it starts executing real workflows 7. connect tools with clear rules add browser search (brave api). use managed browser for automation. use chrome relay only when login is neededthis avoids flaky behavior 8. use heartbeat to keep it alive add rules to check memory cron healthif jobs are stale, force-run themthis prevents silent failures 9. use cron to schedule real work set daily and weekly tasksreports, follow-ups, content workflowsthis is where it starts acting without you 10. lock down security properly move secrets to a separate env file outside workspace. set strict permissions (folder 700, file 600). use allowlists for telegram access. don’t expose your gateway publicly 11. understand what openclaw actually is it’s a system that remembers, acts, and improves. basically, closer to an employee than a tool this ep of @startupideaspod is now out w/ @moritzkremb it's literally a full 1hr free course to take you from from β€œi installed openclaw”to β€œthis thing is actually working for me” most people are one step away from openclaw working they installed it, they tried it and it didn’t click this ep will make it click all free, no advertisers, i just want to see you build your ideas with ideas with this ultimate guide to openclaw watch
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πŸ‘€ The is a most for anyone looking to take AI to the next level. Lock In!
🚨BREAKING: ANTHROPIC IS GIVING AWAY THE SAME CERTIFICATION THAT DELOITTE IS MASS-TRAINING 15,000 EMPLOYEES TO GET. It costs $0. You need a laptop. That's it. It's called the "Claude Certified Architect." Think of it like the AWS cert but for AI. If you were around when AWS certs started, you know what happened. They went from "cool to have" to "you're not getting hired without one." That took about 5 years. This is going to happen way faster. Look at who's already moving: Accenture - training 30,000 people on Claude Cognizant - rolled it out to 350,000 employees Deloitte - opened Claude access to 470,000 people Infosys - anchor partner These aren't startups experimenting. These are billion dollar consulting firms restructuring their entire workforce around Claude. And the certification they need? You can take it right now from your bedroom. Let me be real though. This is not one of those "watch 2 videos and get a badge" type certs that nobody respects. This thing is hard. 60 questions. 2 hours. Proctored. Webcam on. No breaks. No googling. They drop you into real scenarios like designing a customer support agent that handles refunds or setting up Claude in a CI/CD pipeline. The wrong answers look right on purpose. They're the exact mistakes real engineers make in production. 720 out of 1000 to pass. People who took it are saying the agentic architecture and multi-agent orchestration sections are brutal. Most of the exam is about building AI systems that actually work in the real world. Not prompting. Not chatting with Claude. Architecting production systems. All the prep? Free. Anthropic put out 13 courses on their Academy. No paywall. The cert itself is free for the first 5,000 people. After that $99 per attempt. How to get it: 1. Join the Claude Partner Network (free) β†’ partnerportal.anthropic.com 2. Start the free prep courses β†’ anthropic.com/learn 3. Register for the exam β†’ anthropic.skilljar.com 4. Take the official practice exam 5. Book the real one when you're ready It launched 10 days ago. Almost nobody has it yet. That's the whole point. Get it before it becomes the thing everyone has.
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Beavan | Building the AI Liability Layer retweeted
Mar 16
LOCK TF IN build your own "JARVIS" just by using Obsidian Claude Code in 1 hour:
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Beavan | Building the AI Liability Layer retweeted
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FULL INTERVIEW: @travisk joins TBPN to discuss his new company Atoms, physical AI, Uber, and more: 01:18 - Why he's been building in stealth for 8 years 04:32 - Atoms and the future of physical AI 08:10 - Creating a culture of builders 12:05 - Lessons from Uber 24:30 - The vision for physical AI and robotics 31:15 - Why humans will be the main beneficiaries of AI 38:20 - Mining, autonomous robots, automation 47:05 - Why Travis moved to Texas
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Beavan | Building the AI Liability Layer retweeted
Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
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Beavan | Building the AI Liability Layer retweeted
JUST IN: Perplexity launched "Perplexity Computer" β€” and it might be the most complete AI agent system available right now. Not a chatbot upgrade. Not a research tool with a new name. A system that plans entire projects, delegates to specialist AI models, and runs autonomously for hours, days, or months (their words). Here's what makes the architecture genuinely different: β†’ Opus 4.6 handles core reasoning and orchestration β†’ Gemini handles deep research (spawning its own sub-agents) β†’ Grok handles lightweight speed tasks β†’ Veo 3.1 handles video generation β†’ Nano Banana handles image creation β†’ ChatGPT 5.2 handles long-context recall and wide search β†’ You can override model choices per subtask 19 models total. Each task runs in an isolated environment with a real filesystem, real browser, and real tool integrations. You describe an outcome. It breaks it into tasks and subtasks, creates sub-agents for each, and coordinates them automatically. When a sub-agent hits a problem, it spawns more sub-agents to solve it. And it connects to your existing stack β€” GitHub, Google Drive, Gmail, Slack, Jira, Linear, Notion, Confluence, Ahrefs, Airtable, and more. Critically, it doesn't just run once. It can run on a schedule. Reading your docs, checking your project boards, pulling from your CRM, and acting on what it finds. Market monitoring. Competitor tracking. Weekly reports with charts. Content pipelines. CRON jobs that actually execute. Not "AI that helps you once." AI that runs in the background for days or months. Think of it as managed OpenClaw β€” similar autonomous capability (scheduled tasks, multi-step workflows, tool integrations) but fully managed. No Mac Mini. No security config. No infrastructure to maintain. I tested it with a complex prompt β€” a full stock trading simulator with what-if scenarios, correlation heatmaps, sentiment analysis, and a Bloomberg Terminal aesthetic. Two prompts later: deployed to Netlify via GitHub, with working CRON jobs updating live data. I've started using it to analyze my portfolio. But coding is just one lane. This thing researches, writes reports, generates datasets, creates videos, processes documents, and connects to your existing tools β€” all in one coordinated workflow. The real shift: you don't choose a model anymore. You describe what you need. The system routes each piece of work to whichever model does it best β€” and spawns new agents when it hits a wall. 19 models, dynamic sub-agents, scheduled tasks, and your entire tool stack connected. Thoughts?
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