
Beavan ⚡ Building the AI Liability Layer
1.8K posts

Beavan ⚡ Building the AI Liability Layer
@BeavanAI
Building the AI liability layer! Cryptographic proof of what an AI did & under whose authority. 3 patents filed. https://t.co/xLzeHCQTJX. Building in public ⚡
Houston TX Katılım Eylül 2021
7K Takip Edilen1.5K Takipçiler

@blh_mohamedd Hey brother your project looks great. FYI I went for the free audit and kept getting a error message?
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@Crypto4445 Building LaunchStack 🚀
After talking to dozens of founders, one thing became clear:
AI made building easier.
Distribution became the bottleneck.
lauchstack.dev
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@ogbuildsapps @X Sounds like a plan brother. Lets make it happen!
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Hey, @X algorithm and hello all you Founders out there
Looking to connect with people building in:
🍽️ saas
🚀 tech
🧠 AI tools
📱 iOS app
🌐 extension
Looking forward to meeting you all!
Drop what you're working on
👇
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@smm_aryan @X Dm me anytime Im happy to help!
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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 — 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.
→ 3 USPTO patents filed
→ Live demo, seal a record in your browser: verdict.systems
→ Built in public. Production-grade or it doesn't ship.
Follow along if you're building in AI, compliance, or legal tech. 🛠️
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Your bio reads like a mirror, agent tools, memory systems, documentation pipelines. html-home is a smart take on the artifact-sprawl problem, especially with the agent-first guidance baked into the README.
I'm building Verdict, attestation for agent-generated outputs, so every artifact carries cryptographic proof of origin and hasn't been touched since. Feels like a natural pairing for a catalog that aggregates AI-produced HTML.
Also noticed claude-skills, we're running something similar on the gstack side. Would love to compare notes.
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Native x402 in a Zig reverse proxy is genuinely one of the most interesting infrastructure bets I've seen, machine-to-machine payments at the transport layer is the right level for this.
The thing I keep thinking about alongside x402: once an agent pays for a response, how does it prove what it got back and that it wasn't modified in transit? We're building Verdict for exactly that, cryptographic attestation of AI/API outputs, anchored to a public log. Seems like a natural pairing at the proxy layer.
Worth a quick chat?
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Alexander, really glad we connected.
I've been digging into Nume and the positioning is sharp, an AI CFO that pulls the bank + accounting data and hands a founder a board pack, a forecast, a runway call. The promise I keep landing on is the one you already make: no hallucinations, no made-up numbers.
Here's the part I'd want to prove rather than just say. The minute a founder takes Nume's numbers into a board meeting or a raise, someone asks: how do I know the AI didn't invent this, or that it wasn't changed after the fact? Right now the honest answer is "trust us."
That gap is what I build. Verdict is an attestation layer for AI output, it seals each artifact your agent produces and anchors the proof to a public log, so any board member, investor, or auditor can independently verify a number came from your model and the real data, and hasn't been touched since. It's an MCP server, so it slots into your stack with a few calls. Every board pack ships with a "verify" link.
I'd like to give you Verdict free for 6 months as a design partner. No strings, I mostly want honest feedback from a real AI CFO running in production. Open to a quick call this week?
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@dhavaljoshi07 @X Happy to connect Dhaval. Looks like a LaraCopilot great project.
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@BeavanAI @X Just followed 👋
I'm building LaraCopilot — an AI-native platform for Laravel developers focused on AI agents, developer automation, and intelligent coding workflows.
Always happy to connect with builders working on AI automation and developer tools 🚀
laracopilot.com
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@JustJerry121 @X Absolutely brother. Lets stay in touch. DM me
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@LeeMazzone87 @X Thanks for the connection. EchoSphere looks like a very solid project. Happy to stay in touch.
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@BeavanAI @X I'm building EchoSphere.
Most creators don't lose their audience.
The algorithm just stops showing them to it.
We're building a platform designed to make creator reach more visible and more consistent.
echo-human-hub.lovable.app
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@Crypto4445 Hey, let’s connect. I built BuildMySignature.com, a free email signature creator that helps you look better in cold emails.
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Been waiting for the unit of work to jump from file to codebase, and here it is. The adversarial bit is what sells me too, independent attempts, then agents trying to break the answer until they converge. That’s just how good teams ship, minus the fatigue. The resume-after-interruption part is the quiet killer: real multi-day jobs, not session bound sprints.
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@Kyriakos_Pelek @X We run VERDICT (AI liability infra), TARRIF (duty recovery automation) MESSIAH (spiritual AI app) and Deep AI Solutions (audit platform for dental/senior care). Verdict.systems Tariff.dev DM me brother
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@Kyriakos_Pelek @X We run VERDICT (AI liability infra), TARRIF (duty recovery automation), MESSIAH (spiritual AI app), and Deep AI Solutions (audit platform for dental/senior care). Two Shipped other very close.
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@rcelanodev @X Smart pages + dynamic QR is a strong play for local adoption.
We run VERDICT (AI liability infra), TARRIF (duty recovery automation) MESSIAH (spiritual AI app) and Deep AI Solutions (audit platform for dental/senior care). I can message you on WhatsApp. or DM me
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@Crypto4445 @X Hi @Crypto4445, let's connect! I'm building a platform for smart pages linked to dynamic QR codes, for local businesses and professionals. Launching mid-June, barring any last-minute surprises 😅
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Beavan ⚡ Building the AI Liability Layer retweetledi

@Zeneca Totally agree!! I saw it a couple days ago. Definitely gonna be implementing it.
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This is one of the coolest things I’ve seen in a while
Cheng Lou@_chenglou
My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
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