Beavan | Building the AI Liability Layer

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Beavan | Building the AI Liability Layer

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/xLzeHCRrzv. Building in public

Houston TX Joined Eylül 2021
7K Following1.5K Followers
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Beavan | Building the AI Liability Layer
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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Beavan | Building the AI Liability Layer
@JustJerry121 Exactly the thesis here, we seal the context a decision was made against, not just the yes/no. Fits local-first cleanly: data stays yours, only the proof hits a public log anyone can re-verify. Starting with agent actions + the trail they produce. Async works! let's connect 🙌
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JustJerry
JustJerry@JustJerry121·
@BeavanAI Mostly working Asia hours right now. I'm deep in local-first human/agent tooling, so your proof-of-authority angle caught my eye. Approvals are only useful if the surrounding context is inspectable too. Are you starting with forms, agent actions, or audit trails?
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Beavan | Building the AI Liability Layer
🚨 Founders Roll Call 🚨 I’m looking to connect with builders creating the next generation of: 🍽️ SaaS 🚀 Startups 🧠 AI Agents & AI Tools 📱 iOS Apps 🌐 Browser Extensions Drop below: • What you're building • Your website • Current stage (idea, MVP, revenue, scaling) • 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. 👇👇👇
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Beavan | Building the AI Liability Layer
@Mattx889 @CreatorSenseAI Love this. Aggregating every platform into actionable revenue insight is exactly what creators are missing, and the tax + churn angle is what makes it a business tool, not just another analytics dashboard. Let's connect 🙌
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Matt
Matt@Mattx889·
I'm building @CreatorSenseAI at its core, its a business optimization and intelligence platform for content creators. It provides personalized recommendations and insight to help the creator increase revenue and decrease time and effort. We aggregate data across all of the creators platforms, turn all those numbers into something actionable. We cna then use that same information for things like tax management, fan churn, engagement and other fun things. Check us out creatorsenseai.com
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Beavan | Building the AI Liability Layer
@flytradr_guy Just signed up 🙌 Backtesting and signal analysis without needing a quant degree is exactly the gap worth closing. Solo founder shipping weekly is the cadence that wins. Let's connect brother!
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Reyaz
Reyaz@flytradr_guy·
@BeavanAI Building FlyTradr — AI-powered trading analytics for everyday traders. MVP stage, solo founder, shipping features weekly. Focused on making backtesting and signal analysis accessible without needing a quant degree.
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Beavan | Building the AI Liability Layer
@VidaGTMJoe Appreciate it 🙏 And you nailed the shift — voice AI makes intake calls qualified and transferable, but it also scales the consent/TCPA exposure. The qualified call IS the evidence. That's the layer we make tamper-proof. Let's connect 🙌
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Joe Addona
Joe Addona@VidaGTMJoe·
@BeavanAI Verdict seems cool. Good use case. A lot of folks in the mass tort space are intaking calls and qualifying/transferring with voice AI. Making more than selling the raw lead
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Debojyoti (Deb) Singha
Debojyoti (Deb) Singha@debojyoti452·
On revenue🙌 Building keplars.com - an email infrastructure platform focused on making setup and tracking much simpler. Unifies transactional and marketing email with OAuth sending, custom domains, built for both tech and non-tech users. Setup time? 5 clicks. here are the features: - No DNS setup required - Email API - SMTP - Webhooks - SDKs for 11 languages - Real-time email tracking after sent, open time, delivered time, click time etc - email automations docs.keplars.com/automations with AI-generated templates - CLI docs.keplars.com/cli - unified email editor - sandbox mode for testing emails - Integrates with Firebase, supabase, Vercel (Vercel Marketplace), Lovable, React Emails, PocketBase, PayLoad CMS, n8n, Bubble, Zapier Custom Pricing: keplars.com/price-calculat…
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JustJerry
JustJerry@JustJerry121·
@BeavanAI The evidence layer angle is interesting, especially for agents touching approvals or forms. Happy to connect here - proof of what happened will matter quickly.
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Beavan | Building the AI Liability Layer
@VerdictSys Build when no one is watching. Ship when nobody believes. Improve when other pause. The winners aren't the most talented, they're the ones who refuse to stop creating, refining, and Moving Forward!
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Beavan | Building the AI Liability Layer retweeted
VERDICT
VERDICT@VerdictSys·
Most "AI evidence" tools ask you to trust them. We just shipped the opposite. Paste a Sealed Evidence Record at verdict.systems/verify → cryptographic green check. Change one byte → 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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mohaa
mohaa@blh_mohamedd·
@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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Beavan | Building the AI Liability Layer
Hey founders! Looking to connect with people building in: 🍽️ saas 🚀 tech 🧠 AI tools 📱 iOS app 🌐 extension Drop what you're working on 👇
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og
og@ogbuildsapps·
@BeavanAI @X let's connect bro! grow together 🤝🌱 i'm building a new way to visualise your @x analytics, see what posts had the biggest impact on your growth
og tweet mediaog tweet media
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Beavan | Building the AI Liability Layer
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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Aryan
Aryan@smm_aryan·
@BeavanAI @X working on my Ai marketing agency. would love to connect!
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Beavan | Building the AI Liability Layer
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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Beavan | Building the AI Liability Layer
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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Beavan | Building the AI Liability Layer
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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